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Motivation Essay | Essay on Motivation for Students and Children in English

February 13, 2024 by Prasanna

Motivation Essay:   Motivation is important in life because it helps us gain valued results like personal growth, better well-being, enhanced performance, or a sense of confidence. Motivation is a road to improve our way of feeling, thinking, and behaving. The advantages of motivation are seen in our way of living life.

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Long and Short Essays on Motivation for Students and Kids in English

If you are searching for an essay on motivation, you will find below two different articles that you can use to complete your class assignments. Here is the best long essay on motivation for the students of classes 7, 8, 9, and 10. Short essay on Motivation is helpful for students of classes 1, 2, 3, 4, 5 & 6.

Long Essay on Motivation 500 Words in English

Motivation is an essential factor that changes positive thought into instant action. It switches a great idea into action and can undoubtedly affect the world around you. However, not all are born with motivation. People sometimes have disbelief in themselves; they often say, “I can’t do that” or “the timing is not right.” Being demotivated means living a life as a worn-out machine. Your life will become dull without any spark. So, to gain inner peace and satisfaction in life, you must always stay motivated.

Motivation is a force to push you closer toward your dream. If Steve Jobs lacked the motivation to launch Apple, you would not get an iPhone or iPad. It gives you a purpose to live you with a forever smile on the face. Thus, realizing and working on your self-motivation skills will make you capable of taking control of different aspects of life.

The critical elements of self-motivation are resilience and optimism. The former will help you bounce back during difficult times, whereas later, you will show you a brighter side ahead. This way, you will be able to control your emotions that are holding you back.

You need to locate the right motivation for you to get your spark back. You can find motivation from a wide range of effective sources, for example, from quotes, books, videos, parents, teachers, and even nature. Ultimately, you’ll learn rational thinking to overcome negative emotions when you are motivated in life.

Motivation also helps in making you active in life. You will struggle more to fulfill your goals. A self-motivated person always discovers a way to understand the issues hindering the path to complete a task. Moreover, they do not require other people’s support to accomplish a challenging task close to them.

Hence, motivation is one of the vital factors to be successful in any phase of your life. Whether personal or professional events both demand a person to stay positive to achieve the goals. As a motivated person, you will always try to push your limits and develop your performance level every day.

Moreover, you will continuously thrive on giving your best during every task. You will see that you remain dedicated and progressive towards the objectives of life. Lastly, your dreams and goals will come true as you always aimed.

So, always stay motivated in life without losing hope. When you stay motivated each day, it’ll push you closer to your goals. Learn to remain calm when you go through any hard day. It’s an excellent habit and must be applied in life. As a result, all your negative thoughts will start fading away.

Short Essay on Motivation 200 Words in English

No doubt, a person goes through many types of difficulties in life. Some people lose hope and think of quitting. But is this the right step? Absolutely not. Failing once does not mean there is nothing left in life. There is always a way to fight back the hard times to achieve what you desire.

Whether you’re a school-going kid or a business owner, you lose the track and feel demotivated somewhere in life. But never lose hope, you can work towards your betterment by regaining your motivation.

If anytime in life, you feel hard to fight back and lose motivation, read positive quotes, or watch motivational videos online. You can even put the inspirational quotes on your walls. All you need is positivity and motivation in life. You’ll see soon after that you start tackling challenges one step at a time. Slowly you will reach the destination of success and will feel proud of yourself.

We will typically do our best when we have enough motivation. Motivation makes us do things correctly and perform well. You have higher odds of succeeding when you are fully inspired and put effort. It’ll help you give your best during every situation of life. So always work on your motivation.

10 Lines on Motivation Essay

• Motivation is significant for the overall growth of your mind as well as personality.
• It helps you focus on your goals based on values and skills.
• Motivation is a necessary resource to improve and work productively during changing times as well as threats.
• It boosts your desire to achieve a meaningful life goal.
• You can listen to speeches, videos, read books, or quotes from inspirational people to rework on your lost motivation.
• You will learn to fight your fears and negative thoughts when you are motivated.
• Motivation helps professionals to be positive and happy while working hard to achieve goals.
• When you are motivated, you learn to organize and prioritize your life.
• Motivation help students to concentrate and work hard in the class.
• It awakens the sense of meaning in life.

FAQ’s on Motivation Essay

Question 1. Why do we need motivation in life?

Answer: Motivation is vital because it helps you achieve your goals and become the happiest person by never losing hope.

Question 2. What does motivation teach us?

Answer: You will learn to be self-confident, patient, optimistic, skills, time management, and fighting against your fears.

Question 3. How can I regain motivation in life?

Answer: You can read inspirational books, listen to seminars, and put inspirational quotes on the wall or desk to stay motivated in life.

Question 4. What are the benefits of staying motivated?

Answer: Motivation gives job satisfaction, boosts student engagement, improves relationships, and makes you successful.

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Motivation Essay for Students and Children

500+ words essay on motivation.

Everyone suggests other than the person lack motivation, or directly suggests the person remain motivated. But, no one ever tells what is the motivation of how one can stay motivated. Motivation means to face the obstacle and find an inspiration that helps you to go through tough times. In addition, it helps you to move further in life.

Meaning of Motivation

Motivation is something that cannot be understood with words but with practice. It means to be moved by something so strongly that it becomes an inspiration for you. Furthermore, it is a discipline that helps you to achieve your life goals and also helps to be successful in life .

Besides, it the most common practice that everyone does whether it is your boss in office or a school teacher or a university professor everyone motivates others in a way or other.

Role of Motivation

It is a strong tool that helps to get ahead in life. For being motivated we need a driving tool or goal that keeps us motivated and moves forward. Also, it helps in being progressive both physically and mentally.

Moreover, your goal does not be to big and long term they can be small and empowering. Furthermore, you need the right mindset to be motivated.

Besides, you need to push your self towards your goal no one other than you can push your limit. Also, you should be willing to leave your comfort zone because your true potential is going to revel when you leave your comfort zone.

Types of Motivation

Although there are various types of motivation according to me there are generally two types of motivation that are self- motivation and motivation by others.

Self-motivation- It refers to the power of someone to stay motivated without the influence of other situations and people. Furthermore, self-motivated people always find a way to reason and strength to complete a task. Also, they do not need other people to encourage them to perform a challenging task.

Motivation by others- This motivation requires help from others as the person is not able to maintain a self-motivated state. In this, a person requires encouragement from others. Also, he needs to listen to motivational speeches, a strong goal and most importantly and inspiration.

Get the huge list of more than 500 Essay Topics and Ideas

Importance of Motivation

Motivation is very important for the overall development of the personality and mind of the people. It also puts a person in action and in a competitive state. Furthermore, it improves efficiency and desire to achieve the goal. It leads to stability and improvement in work.

Above all, it satisfies a person’s needs and to achieve his/her goal. It helps the person to fight his negative attitude. The person also tries to come out of his/her comfort zone so that she/ he can achieve the goal.

To conclude, motivation is one of the key elements that help a person to be successful. A motivated person tries to push his limits and always tries to improve his performance day by day. Also, the person always gives her/his best no matter what the task is. Besides, the person always tries to remain progressive and dedicated to her/his goals.

FAQs about Motivation Essay

Q.1 Define what is motivation fit. A.1 This refers to a psychological phenomenon in which a person assumes or expects something from the job or life but gets different results other than his expectations. In a profession, it is a primary criterion for determining if the person will stay or leave the job.

Q.2 List some best motivators. A.2 some of the best motivators are:

• Inspiration
• Fear of failure
• Power of Rejection
• Don’t pity your self
• Be assertive
• Stay among positive and motivated people
• Be calm and visionary

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The Importance of Students’ Motivation for Their Academic Achievement – Replicating and Extending Previous Findings

Ricarda steinmayr.

1 Department of Psychology, TU Dortmund University, Dortmund, Germany

Anne F. Weidinger

Malte schwinger.

2 Department of Psychology, Philipps-Universität Marburg, Marburg, Germany

Birgit Spinath

3 Department of Psychology, Heidelberg University, Heidelberg, Germany

Associated Data

The datasets generated for this study are available on request to the corresponding author.

Achievement motivation is not a single construct but rather subsumes a variety of different constructs like ability self-concepts, task values, goals, and achievement motives. The few existing studies that investigated diverse motivational constructs as predictors of school students’ academic achievement above and beyond students’ cognitive abilities and prior achievement showed that most motivational constructs predicted academic achievement beyond intelligence and that students’ ability self-concepts and task values are more powerful in predicting their achievement than goals and achievement motives. The aim of the present study was to investigate whether the reported previous findings can be replicated when ability self-concepts, task values, goals, and achievement motives are all assessed at the same level of specificity as the achievement criteria (e.g., hope for success in math and math grades). The sample comprised 345 11th and 12th grade students ( M = 17.48 years old, SD = 1.06) from the highest academic track (Gymnasium) in Germany. Students self-reported their ability self-concepts, task values, goal orientations, and achievement motives in math, German, and school in general. Additionally, we assessed their intelligence and their current and prior Grade point average and grades in math and German. Relative weight analyses revealed that domain-specific ability self-concept, motives, task values and learning goals but not performance goals explained a significant amount of variance in grades above all other predictors of which ability self-concept was the strongest predictor. Results are discussed with respect to their implications for investigating motivational constructs with different theoretical foundation.

Introduction

Achievement motivation energizes and directs behavior toward achievement and therefore is known to be an important determinant of academic success (e.g., Robbins et al., 2004 ; Hattie, 2009 ; Plante et al., 2013 ; Wigfield et al., 2016 ). Achievement motivation is not a single construct but rather subsumes a variety of different constructs like motivational beliefs, task values, goals, and achievement motives (see Murphy and Alexander, 2000 ; Wigfield and Cambria, 2010 ; Wigfield et al., 2016 ). Nevertheless, there is still a limited number of studies, that investigated (1) diverse motivational constructs in relation to students’ academic achievement in one sample and (2) additionally considered students’ cognitive abilities and their prior achievement ( Steinmayr and Spinath, 2009 ; Kriegbaum et al., 2015 ). Because students’ cognitive abilities and their prior achievement are among the best single predictors of academic success (e.g., Kuncel et al., 2004 ; Hailikari et al., 2007 ), it is necessary to include them in the analyses when evaluating the importance of motivational factors for students’ achievement. Steinmayr and Spinath (2009) did so and revealed that students’ domain-specific ability self-concepts followed by domain-specific task values were the best predictors of students’ math and German grades compared to students’ goals and achievement motives. However, a flaw of their study is that they did not assess all motivational constructs at the same level of specificity as the achievement criteria. For example, achievement motives were measured on a domain-general level (e.g., “Difficult problems appeal to me”), whereas students’ achievement as well as motivational beliefs and task values were assessed domain-specifically (e.g., math grades, math self-concept, math task values). The importance of students’ achievement motives for math and German grades might have been underestimated because the specificity levels of predictor and criterion variables did not match (e.g., Ajzen and Fishbein, 1977 ; Baranik et al., 2010 ). The aim of the present study was to investigate whether the seminal findings by Steinmayr and Spinath (2009) will hold when motivational beliefs, task values, goals, and achievement motives are all assessed at the same level of specificity as the achievement criteria. This is an important question with respect to motivation theory and future research in this field. Moreover, based on the findings it might be possible to better judge which kind of motivation should especially be fostered in school to improve achievement. This is important information for interventions aiming at enhancing students’ motivation in school.

Theoretical Relations Between Achievement Motivation and Academic Achievement

We take a social-cognitive approach to motivation (see also Pintrich et al., 1993 ; Elliot and Church, 1997 ; Wigfield and Cambria, 2010 ). This approach emphasizes the important role of students’ beliefs and their interpretations of actual events, as well as the role of the achievement context for motivational dynamics (see Weiner, 1992 ; Pintrich et al., 1993 ; Wigfield and Cambria, 2010 ). Social cognitive models of achievement motivation (e.g., expectancy-value theory by Eccles and Wigfield, 2002 ; hierarchical model of achievement motivation by Elliot and Church, 1997 ) comprise a variety of motivation constructs that can be organized in two broad categories (see Pintrich et al., 1993 , p. 176): students’ “beliefs about their capability to perform a task,” also called expectancy components (e.g., ability self-concepts, self-efficacy), and their “motivational beliefs about their reasons for choosing to do a task,” also called value components (e.g., task values, goals). The literature on motivation constructs from these categories is extensive (see Wigfield and Cambria, 2010 ). In this article, we focus on selected constructs, namely students’ ability self-concepts (from the category “expectancy components of motivation”), and their task values and goal orientations (from the category “value components of motivation”).

According to the social cognitive perspective, students’ motivation is relatively situation or context specific (see Pintrich et al., 1993 ). To gain a comprehensive picture of the relation between students’ motivation and their academic achievement, we additionally take into account a traditional personality model of motivation, the theory of the achievement motive ( McClelland et al., 1953 ), according to which students’ motivation is conceptualized as a relatively stable trait. Thus, we consider the achievement motives hope for success and fear of failure besides students’ ability self-concepts, their task values, and goal orientations in this article. In the following, we describe the motivation constructs in more detail.

Students’ ability self-concepts are defined as cognitive representations of their ability level ( Marsh, 1990 ; Wigfield et al., 2016 ). Ability self-concepts have been shown to be domain-specific from the early school years on (e.g., Wigfield et al., 1997 ). Consequently, they are frequently assessed with regard to a certain domain (e.g., with regard to school in general vs. with regard to math).

In the present article, task values are defined in the sense of the expectancy-value model by Eccles et al. (1983) and Eccles and Wigfield (2002) . According to the expectancy-value model there are three task values that should be positively associated with achievement, namely intrinsic values, utility value, and personal importance ( Eccles and Wigfield, 1995 ). Because task values are domain-specific from the early school years on (e.g., Eccles et al., 1993 ; Eccles and Wigfield, 1995 ), they are also assessed with reference to specific subjects (e.g., “How much do you like math?”) or on a more general level with regard to school in general (e.g., “How much do you like going to school?”).

Students’ goal orientations are broader cognitive orientations that students have toward their learning and they reflect the reasons for doing a task (see Dweck and Leggett, 1988 ). Therefore, they fall in the broad category of “value components of motivation.” Initially, researchers distinguished between learning and performance goals when describing goal orientations ( Nicholls, 1984 ; Dweck and Leggett, 1988 ). Learning goals (“task involvement” or “mastery goals”) describe people’s willingness to improve their skills, learn new things, and develop their competence, whereas performance goals (“ego involvement”) focus on demonstrating one’s higher competence and hiding one’s incompetence relative to others (e.g., Elliot and McGregor, 2001 ). Performance goals were later further subdivided into performance-approach (striving to demonstrate competence) and performance-avoidance goals (striving to avoid looking incompetent, e.g., Elliot and Church, 1997 ; Middleton and Midgley, 1997 ). Some researchers have included work avoidance as another component of achievement goals (e.g., Nicholls, 1984 ; Harackiewicz et al., 1997 ). Work avoidance refers to the goal of investing as little effort as possible ( Kumar and Jagacinski, 2011 ). Goal orientations can be assessed in reference to specific subjects (e.g., math) or on a more general level (e.g., in reference to school in general).

McClelland et al. (1953) distinguish the achievement motives hope for success (i.e., positive emotions and the belief that one can succeed) and fear of failure (i.e., negative emotions and the fear that the achievement situation is out of one’s depth). According to McClelland’s definition, need for achievement is measured by describing affective experiences or associations such as fear or joy in achievement situations. Achievement motives are conceptualized as being relatively stable over time. Consequently, need for achievement is theorized to be domain-general and, thus, usually assessed without referring to a certain domain or situation (e.g., Steinmayr and Spinath, 2009 ). However, Sparfeldt and Rost (2011) demonstrated that operationalizing achievement motives subject-specifically is psychometrically useful and results in better criterion validities compared with a domain-general operationalization.

Empirical Evidence on the Relative Importance of Achievement Motivation Constructs for Academic Achievement

A myriad of single studies (e.g., Linnenbrink-Garcia et al., 2018 ; Muenks et al., 2018 ; Steinmayr et al., 2018 ) and several meta-analyses (e.g., Robbins et al., 2004 ; Möller et al., 2009 ; Hulleman et al., 2010 ; Huang, 2011 ) support the hypothesis of social cognitive motivation models that students’ motivational beliefs are significantly related to their academic achievement. However, to judge the relative importance of motivation constructs for academic achievement, studies need (1) to investigate diverse motivational constructs in one sample and (2) to consider students’ cognitive abilities and their prior achievement, too, because the latter are among the best single predictors of academic success (e.g., Kuncel et al., 2004 ; Hailikari et al., 2007 ). For effective educational policy and school reform, it is crucial to obtain robust empirical evidence for whether various motivational constructs can explain variance in school performance over and above intelligence and prior achievement. Without including the latter constructs, we might overestimate the importance of motivation for achievement. Providing evidence that students’ achievement motivation is incrementally valid in predicting their academic achievement beyond their intelligence or prior achievement would emphasize the necessity of designing appropriate interventions for improving students’ school-related motivation.

There are several studies that included expectancy and value components of motivation as predictors of students’ academic achievement (grades or test scores) and additionally considered students’ prior achievement ( Marsh et al., 2005 ; Steinmayr et al., 2018 , Study 1) or their intelligence ( Spinath et al., 2006 ; Lotz et al., 2018 ; Schneider et al., 2018 ; Steinmayr et al., 2018 , Study 2, Weber et al., 2013 ). However, only few studies considered intelligence and prior achievement together with more than two motivational constructs as predictors of school students’ achievement ( Steinmayr and Spinath, 2009 ; Kriegbaum et al., 2015 ). Kriegbaum et al. (2015) examined two expectancy components (i.e., ability self-concept and self-efficacy) and eight value components (i.e., interest, enjoyment, usefulness, learning goals, performance-approach, performance-avoidance goals, and work avoidance) in the domain of math. Steinmayr and Spinath (2009) investigated the role of an expectancy component (i.e., ability self-concept), five value components (i.e., task values, learning goals, performance-approach, performance-avoidance goals, and work avoidance), and students’ achievement motives (i.e., hope for success, fear of failure, and need for achievement) for students’ grades in math and German and their GPA. Both studies used relative weights analyses to compare the predictive power of all variables simultaneously while taking into account multicollinearity of the predictors ( Johnson and LeBreton, 2004 ; Tonidandel and LeBreton, 2011 ). Findings showed that – after controlling for differences in students‘ intelligence and their prior achievement – expectancy components (ability self-concept, self-efficacy) were the best motivational predictors of achievement followed by task values (i.e., intrinsic/enjoyment, attainment, and utility), need for achievement and learning goals ( Steinmayr and Spinath, 2009 ; Kriegbaum et al., 2015 ). However, Steinmayr and Spinath (2009) who investigated the relations in three different domains did not assess all motivational constructs on the same level of specificity as the achievement criteria. More precisely, students’ achievement as well as motivational beliefs and task values were assessed domain-specifically (e.g., math grades, math self-concept, math task values), whereas students’ goals were only measured for school in general (e.g., “In school it is important for me to learn as much as possible”) and students’ achievement motives were only measured on a domain-general level (e.g., “Difficult problems appeal to me”). Thus, the importance of goals and achievement motives for math and German grades might have been underestimated because the specificity levels of predictor and criterion variables did not match (e.g., Ajzen and Fishbein, 1977 ; Baranik et al., 2010 ). Assessing students’ goals and their achievement motives with reference to a specific subject might result in higher associations with domain-specific achievement criteria (see Sparfeldt and Rost, 2011 ).

Taken together, although previous work underlines the important roles of expectancy and value components of motivation for school students’ academic achievement, hitherto, we know little about the relative importance of expectancy components, task values, goals, and achievement motives in different domains when all of them are assessed at the same level of specificity as the achievement criteria (e.g., achievement motives in math → math grades; ability self-concept for school → GPA).

The Present Research

The goal of the present study was to examine the relative importance of several of the most important achievement motivation constructs in predicting school students’ achievement. We substantially extend previous work in this field by considering (1) diverse motivational constructs, (2) students’ intelligence and their prior achievement as achievement predictors in one sample, and (3) by assessing all predictors on the same level of specificity as the achievement criteria. Moreover, we investigated the relations in three different domains: school in general, math, and German. Because there is no study that assessed students’ goal orientations and achievement motives besides their ability self-concept and task values on the same level of specificity as the achievement criteria, we could not derive any specific hypotheses on the relative importance of these constructs, but instead investigated the following research question (RQ):

RQ. What is the relative importance of students’ domain-specific ability self-concepts, task values, goal orientations, and achievement motives for their grades in the respective domain when including all of them, students’ intelligence and prior achievement simultaneously in the analytic models?

Materials and Methods

Participants and procedure.

A sample of 345 students was recruited from two German schools attending the highest academic track (Gymnasium). Only 11th graders participated at one school, whereas 11th and 12th graders participated at the other. Students of the different grades and schools did not differ significantly on any of the assessed measures. Students represented the typical population of this type of school in Germany; that is, the majority was Caucasian and came from medium to high socioeconomic status homes. At the time of testing, students were on average 17.48 years old ( SD = 1.06). As is typical for this kind of school, the sample comprised more girls ( n = 200) than boys ( n = 145). We verify that the study is in accordance with established ethical guidelines. Approval by an ethics committee was not required as per the institution’s guidelines and applicable regulations in the federal state where the study was conducted. Participation was voluntarily and no deception took place. Before testing, we received written informed consent forms from the students and from the parents of the students who were under the age of 18 on the day of the testing. If students did not want to participate, they could spend the testing time in their teacher’s room with an extra assignment. All students agreed to participate. Testing took place during regular classes in schools in 2013. Tests were administered by trained research assistants and lasted about 2.5 h. Students filled in the achievement motivation questionnaires first, and the intelligence test was administered afterward. Before the intelligence test, there was a short break.

Ability Self-Concept

Students’ ability self-concepts were assessed with four items per domain ( Schöne et al., 2002 ). Students indicated on a 5-point scale ranging from 1 (totally disagree) to 5 (totally agree) how good they thought they were at different activities in school in general, math, and German (“I am good at school in general/math/German,” “It is easy to for me to learn in school in general/math/German,” “In school in general/math/German, I know a lot,” and “Most assignments in school/math/German are easy for me”). Internal consistency (Cronbach’s α) of the ability self-concept scale was high in school in general, in math, and in German (0.82 ≤ α ≤ 0.95; see Table 1 ).

Means ( M ), Standard Deviations ( SD ), and Reliabilities (α) for all measures.

Task Values

Students’ task values were assessed with an established German scale (SESSW; Subjective scholastic value scale; Steinmayr and Spinath, 2010 ). The measure is an adaptation of items used by Eccles and Wigfield (1995) in different studies. It assesses intrinsic values, utility, and personal importance with three items each. Students indicated on a 5-point scale ranging from 1 (totally disagree) to 5 (totally agree) how much they valued school in general, math, and German (Intrinsic values: “I like school/math/German,” “I enjoy doing things in school/math/German,” and “I find school in general/math/German interesting”; Utility: “How useful is what you learn in school/math/German in general?,” “School/math/German will be useful in my future,” “The things I learn in school/math/German will be of use in my future life”; Personal importance: “Being good at school/math/German is important to me,” “To be good at school/math/German means a lot to me,” “Attainment in school/math/German is important to me”). Internal consistency of the values scale was high in all domains (0.90 ≤ α ≤ 0.93; see Table 1 ).

Goal Orientations

Students’ goal orientations were assessed with an established German self-report measure (SELLMO; Scales for measuring learning and achievement motivation; Spinath et al., 2002 ). In accordance with Sparfeldt et al. (2007) , we assessed goal orientations with regard to different domains: school in general, math, and German. In each domain, we used the SELLMO to assess students’ learning goals, performance-avoidance goals, and work avoidance with eight items each and their performance-approach goals with seven items. Students’ answered the items on a 5-point scale ranging from 1 (totally disagree) to 5 (totally agree). All items except for the work avoidance items are printed in Spinath and Steinmayr (2012) , p. 1148). A sample item to assess work avoidance is: “In school/math/German, it is important to me to do as little work as possible.” Internal consistency of the learning goals scale was high in all domains (0.83 ≤ α ≤ 0.88). The same was true for performance-approach goals (0.85 ≤ α ≤ 0.88), performance-avoidance goals (α = 0.89), and work avoidance (0.91 ≤ α ≤ 0.92; see Table 1 ).

Achievement Motives

Achievement motives were assessed with the Achievement Motives Scale (AMS; Gjesme and Nygard, 1970 ; Göttert and Kuhl, 1980 ). In the present study, we used a short form measuring “hope for success” and “fear of failure” with the seven items per subscale that showed the highest factor loadings. Both subscales were assessed in three domains: school in general, math, and German. Students’ answered all items on a 4-point scale ranging from 1 (does not apply at all) to 4 (fully applies). An example hope for success item is “In school/math/German, difficult problems appeal to me,” and an example fear of failure item is “In school/math/German, matters that are slightly difficult disconcert me.” Internal consistencies of hope for success and fear of failure scales were high in all domains (hope for success: 0.88 ≤ α ≤ 0.92; fear of failure: 0.90 ≤ α ≤ 0.91; see Table 1 ).

Intelligence

Intelligence was measured with the basic module of the Intelligence Structure Test 2000 R, a well-established German multifactor intelligence measure (I-S-T 2000 R; Amthauer et al., 2001 ). The basic module of the test offers assessments of domain-specific intelligence for verbal, numeric, and figural abilities as well as an overall intelligence score (a composite of the three facets). The overall intelligence score is thought to measure reasoning as a higher order factor of intelligence and can be interpreted as a measure of general intelligence, g . Its construct validity has been demonstrated in several studies ( Amthauer et al., 2001 ; Steinmayr and Amelang, 2006 ). In the present study, we used the scores that were closest to the domains we investigated: overall intelligence, numerical intelligence, and verbal intelligence (see also Steinmayr and Spinath, 2009 ). Raw values could range from 0 to 60 for verbal and numerical intelligence, and from 0 to 180 for overall intelligence. Internal consistencies of all intelligence scales were high (0.71 ≤ α ≤ 0.90; see Table 1 ).

Academic Achievement

For all students, the school delivered the report cards that the students received 3 months before testing (t0) and 4 months after testing (t2), at the end of the term in which testing took place. We assessed students’ grades in German and math as well as their overall grade point average (GPA) as criteria for school performance. GPA was computed as the mean of all available grades, not including grades in the nonacademic domains Sports and Music/Art as they did not correlate with the other grades. Grades ranged from 1 to 6, and were recoded so that higher numbers represented better performance.

Statistical Analyses

We conducted relative weight analyses to predict students’ academic achievement separately in math, German, and school in general. The relative weight analysis is a statistical procedure that enables to determine the relative importance of each predictor in a multiple regression analysis (“relative weight”) and to take adequately into account the multicollinearity of the different motivational constructs (for details, see Johnson and LeBreton, 2004 ; Tonidandel and LeBreton, 2011 ). Basically, it uses a variable transformation approach to create a new set of predictors that are orthogonal to one another (i.e., uncorrelated). Then, the criterion is regressed on these new orthogonal predictors, and the resulting standardized regression coefficients can be used because they no longer suffer from the deleterious effects of multicollinearity. These standardized regression weights are then transformed back into the metric of the original predictors. The rescaled relative weight of a predictor can easily be transformed into the percentage of variance that is uniquely explained by this predictor when dividing the relative weight of the specific predictor by the total variance explained by all predictors in the regression model ( R 2 ). We performed the relative weight analyses in three steps. In Model 1, we included the different achievement motivation variables assessed in the respective domain in the analyses. In Model 2, we entered intelligence into the analyses in addition to the achievement motivation variables. In Model 3, we included prior school performance indicated by grades measured before testing in addition to all of the motivation variables and intelligence. For all three steps, we tested for whether all relative weight factors differed significantly from each other (see Johnson, 2004 ) to determine which motivational construct was most important in predicting academic achievement (RQ).

Descriptive Statistics and Intercorrelations

Table 1 shows means, standard deviations, and reliabilities. Tables 2 –4 show the correlations between all scales in school in general, in math, and in German. Of particular relevance here, are the correlations between the motivational constructs and students’ school grades. In all three domains (i.e., school in general/math/German), out of all motivational predictor variables, students’ ability self-concepts showed the strongest associations with subsequent grades ( r = 0.53/0.61/0.46; see Tables 2 –4 ). Except for students’ performance-avoidance goals (−0.04 ≤ r ≤ 0.07, p > 0.05), the other motivational constructs were also significantly related to school grades. Most of the respective correlations were evenly dispersed around a moderate effect size of | r | = 0.30.

Intercorrelations between all variables in school in general.

Intercorrelations between all variables in German.

Intercorrelations between all variables in math.

Relative Weight Analyses

Table 5 presents the results of the relative weight analyses. In Model 1 (only motivational variables) and Model 2 (motivation and intelligence), respectively, the overall explained variance was highest for math grades ( R 2 = 0.42 and R 2 = 0.42, respectively) followed by GPA ( R 2 = 0.30 and R 2 = 0.34, respectively) and grades in German ( R 2 = 0.26 and R 2 = 0.28, respectively). When prior school grades were additionally considered (Model 3) the largest amount of variance was explained in students’ GPA ( R 2 = 0.73), followed by grades in German ( R 2 = 0.59) and math ( R 2 = 0.57). In the following, we will describe the results of Model 3 for each domain in more detail.

Relative weights and percentages of explained criterion variance (%) for all motivational constructs (Model 1) plus intelligence (Model 2) plus prior school achievement (Model 3).

Beginning with the prediction of students’ GPA: In Model 3, students’ prior GPA explained more variance in subsequent GPA than all other predictor variables (68%). Students’ ability self-concept explained significantly less variance than prior GPA but still more than all other predictors that we considered (14%). The relative weights of students’ intelligence (5%), task values (2%), hope for success (4%), and fear of failure (3%) did not differ significantly from each other but were still significantly different from zero ( p < 0.05). The relative weights of students’ goal orientations were not significant in Model 3.

Turning to math grades: The findings of the relative weight analyses for the prediction of math grades differed slightly from the prediction of GPA. In Model 3, the relative weights of numerical intelligence (2%) and performance-approach goals (2%) in math were no longer different from zero ( p > 0.05); in Model 2 they were. Prior math grades explained the largest share of the unique variance in subsequent math grades (45%), followed by math self-concept (19%). The relative weights of students’ math task values (9%), learning goals (5%), work avoidance (7%), and hope for success (6%) did not differ significantly from each other. Students’ fear of failure in math explained the smallest amount of unique variance in their math grades (4%) but the relative weight of students’ fear of failure did not differ significantly from that of students’ hope for success, work avoidance, and learning goals. The relative weights of students’ performance-avoidance goals were not significant in Model 3.

Turning to German grades: In Model 3, students’ prior grade in German was the strongest predictor (64%), followed by German self-concept (10%). Students’ fear of failure in German (6%), their verbal intelligence (4%), task values (4%), learning goals (4%), and hope for success (4%) explained less variance in German grades and did not differ significantly from each other but were significantly different from zero ( p < 0.05). The relative weights of students’ performance goals and work avoidance were not significant in Model 3.

In the present studies, we aimed to investigate the relative importance of several achievement motivation constructs in predicting students’ academic achievement. We sought to overcome the limitations of previous research in this field by (1) considering several theoretically and empirically distinct motivational constructs, (2) students’ intelligence, and their prior achievement, and (3) by assessing all predictors at the same level of specificity as the achievement criteria. We applied sophisticated statistical procedures to investigate the relations in three different domains, namely school in general, math, and German.

Relative Importance of Achievement Motivation Constructs for Academic Achievement

Out of the motivational predictor variables, students’ ability self-concepts explained the largest amount of variance in their academic achievement across all sets of analyses and across all investigated domains. Even when intelligence and prior grades were controlled for, students’ ability self-concepts accounted for at least 10% of the variance in the criterion. The relative superiority of ability self-perceptions is in line with the available literature on this topic (e.g., Steinmayr and Spinath, 2009 ; Kriegbaum et al., 2015 ; Steinmayr et al., 2018 ) and with numerous studies that have investigated the relations between students’ self-concept and their achievement (e.g., Möller et al., 2009 ; Huang, 2011 ). Ability self-concepts showed even higher relative weights than the corresponding intelligence scores. Whereas some previous studies have suggested that self-concepts and intelligence are at least equally important when predicting students’ grades (e.g., Steinmayr and Spinath, 2009 ; Weber et al., 2013 ; Schneider et al., 2018 ), our findings indicate that it might be even more important to believe in own school-related abilities than to possess outstanding cognitive capacities to achieve good grades (see also Lotz et al., 2018 ). Such a conclusion was supported by the fact that we examined the relative importance of all predictor variables across three domains and at the same levels of specificity, thus maximizing criterion-related validity (see Baranik et al., 2010 ). This procedure represents a particular strength of our study and sets it apart from previous studies in the field (e.g., Steinmayr and Spinath, 2009 ). Alternatively, our findings could be attributed to the sample we investigated at least to some degree. The students examined in the present study were selected for the academic track in Germany, and this makes them rather homogeneous in their cognitive abilities. It is therefore plausible to assume that the restricted variance in intelligence scores decreased the respective criterion validities.

When all variables were assessed at the same level of specificity, the achievement motives hope for success and fear of failure were the second and third best motivational predictors of academic achievement and more important than in the study by Steinmayr and Spinath (2009) . This result underlines the original conceptualization of achievement motives as broad personal tendencies that energize approach or avoidance behavior across different contexts and situations ( Elliot, 2006 ). However, the explanatory power of achievement motives was higher in the more specific domains of math and German, thereby also supporting the suggestion made by Sparfeldt and Rost (2011) to conceptualize achievement motives more domain-specifically. Conceptually, achievement motives and ability self-concepts are closely related. Individuals who believe in their ability to succeed often show greater hope for success than fear of failure and vice versa ( Brunstein and Heckhausen, 2008 ). It is thus not surprising that the two constructs showed similar stability in their relative effects on academic achievement across the three investigated domains. Concerning the specific mechanisms through which students’ achievement motives and ability self-concepts affect their achievement, it seems that they elicit positive or negative valences in students, and these valences in turn serve as simple but meaningful triggers of (un)successful school-related behavior. The large and consistent effects for students’ ability self-concept and their hope for success in our study support recommendations from positive psychology that individuals think positively about the future and regularly provide affirmation to themselves by reminding themselves of their positive attributes ( Seligman and Csikszentmihalyi, 2000 ). Future studies could investigate mediation processes. Theoretically, it would make sense that achievement motives defined as broad personal tendencies affect academic achievement via expectancy beliefs like ability self-concepts (e.g., expectancy-value theory by Eccles and Wigfield, 2002 ; see also, Atkinson, 1957 ).

Although task values and learning goals did not contribute much toward explaining the variance in GPA, these two constructs became even more important for explaining variance in math and German grades. As Elliot (2006) pointed out in his hierarchical model of approach-avoidance motivation, achievement motives serve as basic motivational principles that energize behavior. However, they do not guide the precise direction of the energized behavior. Instead, goals and task values are commonly recruited to strategically guide this basic motivation toward concrete aims that address the underlying desire or concern. Our results are consistent with Elliot’s (2006) suggestions. Whereas basic achievement motives are equally important at abstract and specific achievement levels, task values and learning goals release their full explanatory power with increasing context-specificity as they affect students’ concrete actions in a given school subject. At this level of abstraction, task values and learning goals compete with more extrinsic forms of motivation, such as performance goals. Contrary to several studies in achievement-goal research, we did not demonstrate the importance of either performance-approach or performance-avoidance goals for academic achievement.

Whereas students’ ability self-concept showed a high relative importance above and beyond intelligence, with few exceptions, each of the remaining motivation constructs explained less than 5% of the variance in students’ academic achievement in the full model including intelligence measures. One might argue that the high relative importance of students’ ability self-concept is not surprising because students’ ability self-concepts more strongly depend on prior grades than the other motivation constructs. Prior grades represent performance feedback and enable achievement comparisons that are seen as the main determinants of students’ ability self-concepts (see Skaalvik and Skaalvik, 2002 ). However, we included students’ prior grades in the analyses and students’ ability self-concepts still were the most powerful predictors of academic achievement out of the achievement motivation constructs that were considered. It is thus reasonable to conclude that the high relative importance of students’ subjective beliefs about their abilities is not only due to the overlap of this believes with prior achievement.

Limitations and Suggestions for Further Research

Our study confirms and extends the extant work on the power of students’ ability self-concept net of other important motivation variables even when important methodological aspects are considered. Strength of the study is the simultaneous investigation of different achievement motivation constructs in different academic domains. Nevertheless, we restricted the range of motivation constructs to ability self-concepts, task values, goal orientations, and achievement motives. It might be interesting to replicate the findings with other motivation constructs such as academic self-efficacy ( Pajares, 2003 ), individual interest ( Renninger and Hidi, 2011 ), or autonomous versus controlled forms of motivation ( Ryan and Deci, 2000 ). However, these constructs are conceptually and/or empirically very closely related to the motivation constructs we considered (e.g., Eccles and Wigfield, 1995 ; Marsh et al., 2018 ). Thus, it might well be the case that we would find very similar results for self-efficacy instead of ability self-concept as one example.

A second limitation is that we only focused on linear relations between motivation and achievement using a variable-centered approach. Studies that considered different motivation constructs and used person-centered approaches revealed that motivation factors interact with each other and that there are different profiles of motivation that are differently related to students’ achievement (e.g., Conley, 2012 ; Schwinger et al., 2016 ). An important avenue for future studies on students’ motivation is to further investigate these interactions in different academic domains.

Another limitation that might suggest a potential avenue for future research is the fact that we used only grades as an indicator of academic achievement. Although, grades are of high practical relevance for the students, they do not necessarily indicate how much students have learned, how much they know and how creative they are in the respective domain (e.g., Walton and Spencer, 2009 ). Moreover, there is empirical evidence that the prediction of academic achievement differs according to the particular criterion that is chosen (e.g., Lotz et al., 2018 ). Using standardized test performance instead of grades might lead to different results.

Our study is also limited to 11th and 12th graders attending the highest academic track in Germany. More balanced samples are needed to generalize the findings. A recent study ( Ben-Eliyahu, 2019 ) that investigated the relations between different motivational constructs (i.e., goal orientations, expectancies, and task values) and self-regulated learning in university students revealed higher relations for gifted students than for typical students. This finding indicates that relations between different aspects of motivation might differ between academically selected samples and unselected samples.

Finally, despite the advantages of relative weight analyses, this procedure also has some shortcomings. Most important, it is based on manifest variables. Thus, differences in criterion validity might be due in part to differences in measurement error. However, we are not aware of a latent procedure that is comparable to relative weight analyses. It might be one goal for methodological research to overcome this shortcoming.

We conducted the present research to identify how different aspects of students’ motivation uniquely contribute to differences in students’ achievement. Our study demonstrated the relative importance of students’ ability self-concepts, their task values, learning goals, and achievement motives for students’ grades in different academic subjects above and beyond intelligence and prior achievement. Findings thus broaden our knowledge on the role of students’ motivation for academic achievement. Students’ ability self-concept turned out to be the most important motivational predictor of students’ grades above and beyond differences in their intelligence and prior grades, even when all predictors were assessed domain-specifically. Out of two students with similar intelligence scores, same prior achievement, and similar task values, goals and achievement motives in a domain, the student with a higher domain-specific ability self-concept will receive better school grades in the respective domain. Therefore, there is strong evidence that believing in own competencies is advantageous with respect to academic achievement. This finding shows once again that it is a promising approach to implement validated interventions aiming at enhancing students’ domain-specific ability-beliefs in school (see also Muenks et al., 2017 ; Steinmayr et al., 2018 ).

Data Availability

Ethics statement.

In Germany, institutional approval was not required by default at the time the study was conducted. That is, why we cannot provide a formal approval by the institutional ethics committee. We verify that the study is in accordance with established ethical guidelines. Participation was voluntarily and no deception took place. Before testing, we received informed consent forms from the parents of the students who were under the age of 18 on the day of the testing. If students did not want to participate, they could spend the testing time in their teacher’s room with an extra assignment. All students agreed to participate. We included this information also in the manuscript.

Author Contributions

RS conceived and supervised the study, curated the data, performed the formal analysis, investigated the results, developed the methodology, administered the project, and wrote, reviewed, and edited the manuscript. AW wrote, reviewed, and edited the manuscript. MS performed the formal analysis, and wrote, reviewed, and edited the manuscript. BS conceived the study, and wrote, reviewed, and edited the manuscript.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Funding. We acknowledge financial support by Deutsche Forschungsgemeinschaft and Technische Universität Dortmund/TU Dortmund University within the funding programme Open Access Publishing.

• Ajzen I., Fishbein M. (1977). Attitude–behavior relations: a theoretical analysis and review of empirical research. Psychol. Bull. 84 888–918. 10.1037/0033-2909.84.5.888 [ CrossRef ] [ Google Scholar ]
• Amthauer R., Brocke B., Liepmann D., Beauducel A. (2001). Intelligenz-Struktur-Test 2000 R [Intelligence-Structure-Test 2000 R] . Göttingen: Hogrefe. [ Google Scholar ]
• Atkinson J. W. (1957). Motivational determinants of risk-taking behavior. Psychol. Rev. 64 359–372. 10.1037/h0043445 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Baranik L. E., Barron K. E., Finney S. J. (2010). Examining specific versus general measures of achievement goals. Hum. Perform. 23 155–172. 10.1080/08959281003622180 [ CrossRef ] [ Google Scholar ]
• Ben-Eliyahu A. (2019). A situated perspective on self-regulated learning from a person-by-context perspective. High Ability Studies . 10.1080/13598139.2019.1568828 [ CrossRef ] [ Google Scholar ]
• Brunstein J. C., Heckhausen H. (2008). Achievement motivation. in Motivation and Action eds Heckhausen J., Heckhausen H. Cambridge: Cambridge University Press, 137–183. [ Google Scholar ]
• Conley A. M. (2012). Patterns of motivation beliefs: combining achievement goal and expectancy-value perspectives. J. Educ. Psychol. 104 32–47. 10.1037/a0026042 [ CrossRef ] [ Google Scholar ]
• Dweck C. S., Leggett E. L. (1988). A social-cognitive approach to motivation and personality. Psychol. Rev. 95 256–273. 10.1037/0033-295X.95.2.256 [ CrossRef ] [ Google Scholar ]
• Eccles J. S., Adler T. F., Futterman R., Goff S. B., Kaczala C. M., Meece J. L. (1983). Expectancies, values, and academic behaviors. in Achievement and Achievement Motivation ed Spence J. T. San Francisco, CA: Freeman, 75–146 [ Google Scholar ]
• Eccles J. S., Wigfield A. (1995). In the mind of the actor: the structure of adolescents’ achievement task values and expectancy-related beliefs. Pers. Soc. Psychol. Bull. 21 215–225. 10.1177/0146167295213003 [ CrossRef ] [ Google Scholar ]
• Eccles J. S., Wigfield A. (2002). Motivational beliefs, values, and goals. Annu. Rev. Psychol. 53 109–132. 10.1146/annurev.psych.53.100901.135153 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Eccles J. S., Wigfield A., Harold R. D., Blumenfeld P. (1993). Age and gender differences in children’s self- and task perceptions during elementary school. Child Dev. 64 830–847. 10.2307/1131221 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Elliot A. J. (2006). The hierarchical model of approach-avoidance motivation. Motiv. Emot. 30 111–116. 10.1007/s11031-006-9028-7 [ CrossRef ] [ Google Scholar ]
• Elliot A. J., Church M. A. (1997). A hierarchical model of approach and avoidance achievement motivation. J. Pers. Soc. Psychol. 72 218–232. 10.1037/0022-3514.72.1.218 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Elliot A. J., McGregor H. A. (2001). A 2 x 2 achievement goal framework. J. Pers. Soc. Psychol. 80 501–519. 10.1037//0022-3514.80.3.501 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Gjesme T., Nygard R. (1970). Achievement-Related Motives: Theoretical Considerations and Construction of a Measuring Instrument . Olso: University of Oslo. [ Google Scholar ]
• Göttert R., Kuhl J. (1980). AMS — achievement motives scale von gjesme und nygard - deutsche fassung [AMS — German version]. in Motivationsförderung im Schulalltag [Enhancement of Motivation in the School Context] eds Rheinberg F., Krug S., Göttingen: Hogrefe, 194–200 [ Google Scholar ]
• Hailikari T., Nevgi A., Komulainen E. (2007). Academic self-beliefs and prior knowledge as predictors of student achievement in mathematics: a structural model. Educ. Psychol. 28 59–71. 10.1080/01443410701413753 [ CrossRef ] [ Google Scholar ]
• Harackiewicz J. M., Barron K. E., Carter S. M., Lehto A. T., Elliot A. J. (1997). Predictors and consequences of achievement goals in the college classroom: maintaining interest and making the grade. J. Pers. Soc. Psychol. 73 1284–1295. 10.1037//0022-3514.73.6.1284 [ CrossRef ] [ Google Scholar ]
• Hattie J. A. C. (2009). Visible Learning: A Synthesis of 800+ Meta-Analyses on Achievement . Oxford: Routledge. [ Google Scholar ]
• Huang C. (2011). Self-concept and academic achievement: a meta-analysis of longitudinal relations. J. School Psychol. 49 505–528. 10.1016/j.jsp.2011.07.001 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Hulleman C. S., Schrager S. M., Bodmann S. M., Harackiewicz J. M. (2010). A meta-analytic review of achievement goal measures: different labels for the same constructs or different constructs with similar labels? Psychol. Bull. 136 422–449. 10.1037/a0018947 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Johnson J. W. (2004). Factors affecting relative weights: the influence of sampling and measurement error. Organ. Res. Methods 7 283–299. 10.1177/1094428104266018 [ CrossRef ] [ Google Scholar ]
• Johnson J. W., LeBreton J. M. (2004). History and use of relative importance indices in organizational research. Organ. Res. Methods 7 238–257. 10.1177/1094428104266510 [ CrossRef ] [ Google Scholar ]
• Kriegbaum K., Jansen M., Spinath B. (2015). Motivation: a predictor of PISA’s mathematical competence beyond intelligence and prior test achievement. Learn. Individ. Differ. 43 140–148. 10.1016/j.lindif.2015.08.026 [ CrossRef ] [ Google Scholar ]
• Kumar S., Jagacinski C. M. (2011). Confronting task difficulty in ego involvement: change in performance goals. J. Educ. Psychol. 103 664–682. 10.1037/a0023336 [ CrossRef ] [ Google Scholar ]
• Kuncel N. R., Hezlett S. A., Ones D. S. (2004). Academic performance, career potential, creativity, and job performance: can one construct predict them all? J. Person. Soc. Psychol. 86 148–161. 10.1037/0022-3514.86.1.148 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Linnenbrink-Garcia L., Wormington S. V., Snyder K. E., Riggsbee J., Perez T., Ben-Eliyahu A., et al. (2018). Multiple pathways to success: an examination of integrative motivational profiles among upper elementary and college students. J. Educ. Psychol. 110 1026–1048 10.1037/edu0000245 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Lotz C., Schneider R., Sparfeldt J. R. (2018). Differential relevance of intelligence and motivation for grades and competence tests in mathematics. Learn. Individ. Differ. 65 30–40. 10.1016/j.lindif.2018.03.005 [ CrossRef ] [ Google Scholar ]
• Marsh H. W. (1990). Causal ordering of academic self-concept and academic achievement: a multiwave, longitudinal panel analysis. J. Educ. Psychol. 82 646–656. 10.1037/0022-0663.82.4.646 [ CrossRef ] [ Google Scholar ]
• Marsh H. W., Pekrun R., Parker P. D., Murayama K., Guo J., Dicke T., et al. (2018). The murky distinction between self-concept and self-efficacy: beware of lurking jingle-jangle fallacies. J. Educ. Psychol. 111 331–353. 10.1037/edu0000281 [ CrossRef ] [ Google Scholar ]
• Marsh H. W., Trautwein U., Lüdtke O., Köller O., Baumert J. (2005). Academic self-concept, interest, grades and standardized test scores: reciprocal effects models of causal ordering. Child Dev. 76 397–416. 10.1111/j.1467-8624.2005.00853.x [ PubMed ] [ CrossRef ] [ Google Scholar ]
• McClelland D. C., Atkinson J., Clark R., Lowell E. (1953). The Achievement Motive . New York, NY: Appleton-Century-Crofts. [ Google Scholar ]
• Middleton M. J., Midgley C. (1997). Avoiding the demonstration of lack of ability: an underexplored aspect of goal theory. Journal J. Educ. Psychol. 89 710–718. 10.1037/0022-0663.89.4.710 [ CrossRef ] [ Google Scholar ]
• Möller J., Pohlmann B., Köller O., Marsh H. W. (2009). A meta-analytic path analysis of the internal/external frame of reference model of academic achievement and academic self-concept. Rev. Educ. Res. 79 1129–1167. 10.3102/0034654309337522 [ CrossRef ] [ Google Scholar ]
• Muenks K., Wigfield A., Yang J. S., O’Neal C. (2017). How true is grit? Assessing its relations to high school and college students’ personality characteristics, self-regulation, engagement, and achievement. J. Educ. Psychol. 109 599–620. 10.1037/edu0000153. [ CrossRef ] [ Google Scholar ]
• Muenks K., Yang J. S., Wigfield A. (2018). Associations between grit, motivation, and achievement in high school students. Motiv. Sci. 4 158–176. 10.1037/mot0000076 [ CrossRef ] [ Google Scholar ]
• Murphy P. K., Alexander P. A. (2000). A motivated exploration of motivation terminology. Contemp. Educ. Psychol. 25 3–53. 10.1006/ceps.1999 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Nicholls J. G. (1984). Achievement motivation: conceptions of ability, subjective experience, task choice, and performance. Psychol. Rev. 91 328–346. 10.1037/0033-295X.91.3.328 [ CrossRef ] [ Google Scholar ]
• Pajares F. (2003). Self-efficacy beliefs, motivation, and achievement in writing: a review of the literature. Read. Writ. Q. 19 139–158. 10.1080/10573560308222 [ CrossRef ] [ Google Scholar ]
• Pintrich P. R., Marx R. W., Boyle R. A. (1993). Beyond cold conceptual change: the role of motivational beliefs and classroom contextual factors in the process of conceptual change. Rev. Educ. Res. 63 167–199. 10.3102/00346543063002167 [ CrossRef ] [ Google Scholar ]
• Plante I., O’Keefe P. A., Théorêt M. (2013). The relation between achievement goal and expectancy-value theories in predicting achievement-related outcomes: a test of four theoretical conceptions. Motiv. Emot. 37 65–78. 10.1007/s11031-012-9282-9 [ CrossRef ] [ Google Scholar ]
• Renninger K. A., Hidi S. (2011). Revisiting the conceptualization, measurement, and generation of interest. Educ. Psychol. 46 168–184. 10.1080/00461520.2011.587723 [ CrossRef ] [ Google Scholar ]
• Robbins S. B., Lauver K., Le H., Davis D., Langley R., Carlstrom A. (2004). Do psychosocial and study skill factors predict college outcomes? a meta-analysis. Psychol. Bull. 130 261–288. 10.1037/0033-2909.130.2.261 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Ryan R. M., Deci E. L. (2000). Intrinsic and extrinsic motivations: classic definitions and new directions. Contemp. Educ. Psychol. 25 54–67. 10.1006/ceps.1999.1020 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Schneider R., Lotz C., Sparfeldt J. R. (2018). Smart, confident, and interested: contributions of intelligence, self-concepts, and interest to elementary school achievement. Learn. Individ. Differ. 62 23–35. 10.1016/j.lindif.2018.01.003 [ CrossRef ] [ Google Scholar ]
• Schöne C., Dickhäuser O., Spinath B., Stiensmeier-Pelster J. (2002). Die Skalen zur Erfassung des schulischen Selbstkonzepts (SESSKO) [Scales for Measuring the Academic Ability Self-Concept] . Göttingen: Hogrefe. [ Google Scholar ]
• Schwinger M., Steinmayr R., Spinath B. (2016). Achievement goal profiles in elementary school: antecedents, consequences, and longitudinal trajectories. Contemp. Educ. Psychol. 46 164–179. 10.1016/j.cedpsych.2016.05.006 [ CrossRef ] [ Google Scholar ]
• Seligman M. E., Csikszentmihalyi M. (2000). Positive psychology: an introduction. Am. Psychol. 55 5–14. 10.1037/0003-066X.55.1.5 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Skaalvik E. M., Skaalvik S. (2002). Internal and external frames of reference for academic self-concept. Educ. Psychol. 37 233–244. 10.1207/S15326985EP3704_3 [ CrossRef ] [ Google Scholar ]
• Sparfeldt J. R., Buch S. R., Wirthwein L., Rost D. H. (2007). Zielorientierungen: Zur Relevanz der Schulfächer. [Goal orientations: the relevance of specific goal orientations as well as specific school subjects]. Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie , 39 165–176. 10.1026/0049-8637.39.4.165 [ CrossRef ] [ Google Scholar ]
• Sparfeldt J. R., Rost D. H. (2011). Content-specific achievement motives. Person. Individ. Differ. 50 496–501. 10.1016/j.paid.2010.11.016 [ CrossRef ] [ Google Scholar ]
• Spinath B., Spinath F. M., Harlaar N., Plomin R. (2006). Predicting school achievement from general cognitive ability, self-perceived ability, and intrinsic value. Intelligence 34 363–374. 10.1016/j.intell.2005.11.004 [ CrossRef ] [ Google Scholar ]
• Spinath B., Steinmayr R. (2012). The roles of competence beliefs and goal orientations for change in intrinsic motivation. J. Educ. Psychol. 104 1135–1148. 10.1037/a0028115 [ CrossRef ] [ Google Scholar ]
• Spinath B., Stiensmeier-Pelster J., Schöne C., Dickhäuser O. (2002). Die Skalen zur Erfassung von Lern- und Leistungsmotivation (SELLMO)[Measurement scales for learning and performance motivation] . Göttingen: Hogrefe. [ Google Scholar ]
• Steinmayr R., Amelang M. (2006). First results regarding the criterion validity of the I-S-T 2000 R concerning adults of both sex. Diagnostica 52 181–188. [ Google Scholar ]
• Steinmayr R., Spinath B. (2009). The importance of motivation as a predictor of school achievement. Learn. Individ. Differ. 19 80–90. 10.1016/j.lindif.2008.05.004 [ CrossRef ] [ Google Scholar ]
• Steinmayr R., Spinath B. (2010). Konstruktion und Validierung einer Skala zur Erfassung subjektiver schulischer Werte (SESSW) [construction and validation of a scale for the assessment of school-related values]. Diagnostica 56 195–211. 10.1026/0012-1924/a000023 [ CrossRef ] [ Google Scholar ]
• Steinmayr R., Weidinger A. F., Wigfield A. (2018). Does students’ grit predict their school achievement above and beyond their personality, motivation, and engagement? Contemp. Educ. Psychol. 53 106–122. 10.1016/j.cedpsych.2018.02.004 [ CrossRef ] [ Google Scholar ]
• Tonidandel S., LeBreton J. M. (2011). Relative importance analysis: a useful supplement to regression analysis. J. Bus. Psychol. 26 1–9. 10.1007/s10869-010-9204-3 [ CrossRef ] [ Google Scholar ]
• Walton G. M., Spencer S. J. (2009). Latent ability grades and test scores systematically underestimate the intellectual ability of negatively stereotyped students. Psychol. Sci. 20 1132–1139. 10.1111/j.1467-9280.2009.02417.x [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Weber H. S., Lu L., Shi J., Spinath F. M. (2013). The roles of cognitive and motivational predictors in explaining school achievement in elementary school. Learn. Individ. Differ. 25 85–92. 10.1016/j.lindif.2013.03.008 [ CrossRef ] [ Google Scholar ]
• Weiner B. (1992). Human Motivation: Metaphors, Theories, and Research . Newbury Park, CA: Sage Publications. [ Google Scholar ]
• Wigfield A., Cambria J. (2010). Students’ achievement values, goal orientations, and interest: definitions, development, and relations to achievement outcomes. Dev. Rev. 30 1–35. 10.1016/j.dr.2009.12.001 [ CrossRef ] [ Google Scholar ]
• Wigfield A., Eccles J. S., Yoon K. S., Harold R. D., Arbreton A., Freedman-Doan C., et al. (1997). Changes in children’s competence beliefs and subjective task values across the elementary school years: a three-year study. J. Educ. Psychol. 89 451–469. 10.1037/0022-0663.89.3.451 [ CrossRef ] [ Google Scholar ]
• Wigfield A., Tonks S., Klauda S. L. (2016). “ Expectancy-value theory ,” in Handbook of Motivation in School , 2nd Edn eds Wentzel K. R., Mielecpesnm D. B. (New York, NY: Routledge; ), 55–74. [ Google Scholar ]

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What Students Are Saying About What Motivates Them to Learn

Teenagers share what drives them in school: inspiring teachers, interesting classes, the feeling of accomplishment and more.

By The Learning Network

This week we asked students, “ What motivates you to learn? ” The question was inspired by an Opinion essay by Jonathan Malesic called “ The Key to Success in College Is So Simple, It’s Almost Never Mentioned .”

That key, says Mr. Malesic, who teaches writing at the University of Texas at Dallas, is “a simple willingness to learn.” He writes, “In more than 20 years of college teaching, I have seen that students who are open to new knowledge will learn. Students who aren’t won’t.”

We wanted to know what it was that got students to open up to new knowledge. They said great teachers, interactive classes, setting their own goals and having a genuine interest in a subject were all highly motivating. But many admitted that grades and getting into the colleges and careers of their choice were their main drivers, and they criticized the school system for being so “destination-focused” and quashing their curiosity with endless standardized tests. Read more about their motives below.

Thank you to all those who joined the conversation on our writing prompts this week, including students from Glenwood Springs High School in Glenwood Springs, Colo. ; Holicong Middle School in Buckingham, Pa. ; and Patrick Henry High School in Ashland, Va.

Please note: Student comments have been lightly edited for length, but otherwise appear as they were originally submitted.

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Home — Essay Samples — Psychology — Personality Psychology — Motivation

Essays on Motivation

🌟 the importance of writing a motivation essay 📝.

Motivation is like that extra sprinkle of magic dust that gives us the boost we need to achieve our goals and dreams ✨✨. It's the driving force behind our actions and the fuel that keeps us going when things get tough. Writing an essay about motivation allows us to delve deeper into this fascinating topic and explore its various aspects. So, why not grab your pen (or keyboard) and let's dive into the world of motivation! 💪📚

🔍 Choosing the Perfect Motivation Essay Topic 🤔

When it comes to choosing a topic for your motivation essay, there are a few things to consider. First, think about what aspect of motivation you find most intriguing. Is it personal motivation, motivation in the workplace, or maybe the psychology behind motivation? Once you have a general idea, narrow it down further to a specific angle that interests you the most.

💡 Motivation Argumentative Essay 💪📝

An argumentative essay on motivation requires you to take a stance and provide evidence to support your viewpoint. Here are ten exciting topics to get those creative juices flowing:

• The role of intrinsic motivation in academic success
• The impact of extrinsic rewards on employee motivation
• Does social media affect motivation levels in teenagers?
• The connection between motivation and self-esteem
• How does motivation differ between genders?
• The influence of music on motivation levels
• Does money truly motivate people in the workplace?
• The effects of positive reinforcement on motivation
• The link between motivation and mental health
• How does goal-setting impact motivation?

🌪️ Motivation Cause and Effect Essay 📝

In a cause and effect essay, you explore the reasons behind certain motivations and their outcomes. Here are ten thought-provoking topics to consider:

• The causes and effects of procrastination on motivation
• How does a lack of motivation impact academic performance?
• The relationship between motivation and success in sports
• The effects of parental motivation on children's achievements
• How does motivation affect mental well-being?
• The causes and effects of burnout on motivation levels
• The impact of motivation on work-life balance
• How does motivation affect creativity and innovation?
• The causes and effects of peer pressure on motivation
• The relationship between motivation and goal attainment

💬 Motivation Opinion Essay 💭📝

In an opinion essay, you express your personal thoughts and beliefs about motivation. Here are ten intriguing topics to spark your imagination:

• Is self-motivation more effective than external motivation?
• Are rewards a necessary form of motivation?
• Should schools focus more on intrinsic motivation?
• The role of motivation in achieving work-life balance
• Is motivation a learned behavior or innate?
• The impact of motivation on personal growth and development
• Does motivation play a significant role in overcoming obstacles?
• Is fear an effective motivator?
• The role of motivation in maintaining a healthy lifestyle
• Can motivation be sustained in the long term?

📚 Motivation Informative Essay 🧠📝

An informative essay on motivation aims to educate and provide valuable insights. Here are ten fascinating topics to explore:

• The psychology behind motivation and its theories
• How to stay motivated in challenging times
• The impact of motivation on personal and professional success
• Motivation techniques for achieving fitness goals
• The role of motivation in leadership and management
• Motivation in the context of mental health and well-being
• The history of motivation research and key figures
• Motivation strategies for students and educators
• Motivation and its connection to creativity and innovation
• Motivation in different cultural and societal contexts

📜 Thesis Statement Examples 📜

Here are a few thesis statement examples to inspire your motivation essay:

• 1. "Motivation, whether intrinsic or extrinsic, plays a pivotal role in driving individuals towards achieving their goals and aspirations."
• 2. "This essay explores the multifaceted nature of motivation, examining its psychological underpinnings, societal influences, and practical applications."
• 3. "In a world filled with challenges and opportunities, understanding the mechanisms of motivation empowers individuals to overcome obstacles and reach new heights of success."

📝 Introduction Paragraph Examples 📝

Here are some introduction paragraph examples for your motivation essay:

• 1. "Motivation is the driving force behind human actions, the invisible hand that propels us toward our goals. It is the spark that ignites the fire of determination within us, pushing us to overcome obstacles and realize our dreams."
• 2. "In a world where challenges often outnumber opportunities, motivation serves as the compass guiding us through life's intricate maze. It is the unwavering belief in our abilities and the fuel that keeps our ambitions burning bright."
• 3. "Picture a world without motivation—a world where dreams remain unfulfilled, talents remain hidden, and aspirations remain dormant. Fortunately, we do not live in such a world, and this essay delves into the profound impact of motivation on human lives."

🔚 Conclusion Paragraph Examples 📝

Here are some conclusion paragraph examples for your motivation essay:

• 1. "As we conclude this journey through the realm of motivation, let us remember that it is the driving force behind our accomplishments, the cornerstone of our achievements. With unwavering motivation, we can surmount any obstacle and turn our aspirations into reality."
• 2. "In the grand tapestry of human existence, motivation weaves the threads of determination, perseverance, and success. This essay's culmination serves as a testament to the enduring power of motivation and its ability to shape our destinies."
• 3. "As we bid farewell to this exploration of motivation, let us carry forward the knowledge that motivation is not just a concept but a potent force that propels us toward greatness. With motivation as our guide, we can continue to chase our dreams and conquer new horizons."

📄 Motivation Research Paper Outline 📄

I. introduction 🌟.

• Definition of Motivation
• Importance of Studying Motivation
• Research Questions or Hypotheses
• Objectives of the Study
• Significance of the Study
• Scope and Limitations

II. Literature Review 📖

• Maslow's Hierarchy of Needs
• Herzberg's Two-Factor Theory
• Self-Determination Theory
• Research on Intrinsic and Extrinsic Motivation
• Studies on Workplace Motivation
• Impact of Motivation on Performance and Productivity
• Gaps in the Literature

III. Research Methodology 🔬

• Qualitative, Quantitative, or Mixed Methods
• Sampling Techniques
• Sample Size
• Surveys, Interviews, Observations, etc.
• Data Analysis Techniques
• Ethical Considerations

IV. Results and Discussion 💬

• Tables, Graphs, and Charts
• Interpretation of Data
• Comparison with Previous Studies
• Theoretical Implications
• Practical Implications

V. Conclusion 🏁

• Summary of Findings
• Conclusions Drawn from the Study
• Recommendations for Future Research
• Limitations of the Study

VI. References 📚

• Citations of all Sources Used

VII. Appendices 📑

• Additional Material (e.g., Survey Instruments, Interview Guides)

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Assessment of My Motivation and Values

Overview of the motivational theories for business, autonomy, mastery, and purpose: motivation, applying work motivation theories to business situations, drive-reduction theory and motivation, the impact of motivation and affect on judgement, my motivation to study biomedical engineering in the netherlands, research of the theories of motivation: expectancy theory and the equity theory, understanding of my personal motivation, the motivation letter for you, herzberg two-factor theory of motivation, motivation in different aspects of our lives, the importance of motivation in human resource management, my motivation to get a bachelor degree in nursing, my potential and motivation to excel in the field of medicine, my motivational letter: mechanical engineering, motivation letter for computer science scholarship, effective management and motivation of employees, your motivation to do sports, some theories of motivation or why it is necessary to motivate employees.

Motivation is the drive or desire to achieve a goal or take action. Motivational states are commonly understood as forces acting within the agent that create a disposition to engage in goal-directed behavior.

Intrinsic, extrinsic, unconscious, and conscious.

Theories articulating the content of motivation: Maslow's hierarchy of needs, Herzberg's two-factor theory, Alderfer's ERG theory, Self-Determination Theory, Drive theory.

• Motivation can come from both internal (intrinsic) and external (extrinsic) sources.
• Different people are motivated by different things, such as rewards, recognition, or personal satisfaction.
• Setting specific, achievable goals can increase motivation levels.
• Motivation can fluctuate based on external factors like stress, fatigue, or distractions.
• Motivation is closely linked to productivity and success in various aspects of life.

The topic of motivation is important because it plays a crucial role in determining individual behavior, performance, and overall well-being. Understanding what motivates people can help in creating effective strategies for personal growth, goal achievement, and boosting overall satisfaction and success. It is a key aspect of psychology, education, management, and various other fields that aim to enhance human performance and well-being.

Relevant topics

• Growth Mindset
• Procrastination

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Strategies for Motivating Students Essay

• To find inspiration for your paper and overcome writer’s block
• As a source of information (ensure proper referencing)
• As a template for you assignment

Introduction

Motivational strategies, climate and instructional variables, promoting intrinsic motivation.

Education is widely regarded as an integral feature for the success of the nation. All governments therefore invest significant resources to their educational institutions and students are exhorted to excel in their academics. In addition to the personal aptitude of the student, other factors that affect the performance of the student in school exist.

One key factor is motivation which is defined by Shergill (2009) as the process of arousing action, sustaining activity in progress, regulating, and directing behavior towards a goal” (p.254). In the classroom context, motivation can be defined as the extent to which learners make conscious decisions concerning the learning objectives they are going to pursue and the effort they are willing to commit to achieving these goals.

The significance of motivation cannot be overstated since it is vital to the continuous stimulation of students to achieve the desired goals. With this in mind, educators are keen to implement strategies that will result in the motivation of their students and therefore yield positive results. This paper will discuss the strategies for promoting involvement and meeting the need to understand and also discuss how increase in intrinsic motivation can be achieved.

Student involvement is essential to the success of the learning process. Self-determination theory suggests that individuals have a need for autonomy and if this need is met, greater involvement can be fostered (Eggen & Kauchak, 2007). This statement is corroborated by Shergill (2009) who asserts that the most important needs for students are recognition, and power corroborates this statement.

Most teachers take total control of the learning process and the student is but a passive recipient of knowledge. This teaching method does not foster motivation since the student does not have control of the learning process. A strategy that gives the students some measure of control in the class will increase motivation.

In this strategy, the teacher should relinquish as much control as is possible and act more as a knowledgeable guide for the students. In this scenario, the students will be more ready to learn because of the perceived autonomy granted to them. The teacher can also help students develop self-regulation and this will further increase their sense of autonomy. Such a strategy will ensure maximum participation by the student therefore promoting positive outcomes.

Setting challenging goals will increase the proficiency of students by encouraging them to gain the necessary skills and knowledge. The instructor should therefore adopt a strategy that will obligate students to create challenging but achievable tasks for themselves.

Having goals will ensure that the need for competence by the students is met thus promoting intrinsic motivation (Eggen & Kauchak, 2007). When coming up with goals, the teacher should ensure that each student has goals that are not too difficult as to discourage them but at the same time not too easy as to be considered trivial.

Through goal setting, the teacher will properly articulate and clarify the goals that the student is supposed to fulfill. Madden (2004) declare that when students come up with their own goals, they invest more effort and resilience to achieve the goals. This will ensure that the innate need for competence by the students is met therefore motivating them to be more involved in the learning process.

The attitude and ability of the student will influence his/her level of motivation. According to Bandura’s self-efficacy theory, the individual’s perception of their situation and the subsequent respond to it is dictated by attitude and competence (Lins, 2007). This self-efficacy determines the amount of effort that a student will commit to certain activities. Students who have high self-efficacy will demonstrate higher perseverance and they will be motivated to complete tasks even in the face of obstacles and failure.

On the other hand, a student with low self-efficacy will not be motivated to achieve goals especially when he/she faces obstacles or failures. The teacher can help students to increase their self-efficacy by helping them to focus on the improvements made. Students who might be struggling in their studies may develop a low sense of self-worth and see their difficulties as an indicator of low ability. This will result in anxiety and low motivation due to the perception of low ability.

Adopting a strategy that focuses on any achievement made by the student, no matter how marginal, can help to overcome this. Eggen and Kauchak (2007) suggest that when the teacher communicates incremental views of intelligence and ensures that the student focuses on their progress, negative self-perception by students who are struggling will be reduced.

The climate and instructional variables play a crucial role in the motivation of students. The teacher should cultivate certain personal qualities in order to increase motivation in students. The teacher can demonstrate a genuine commitment to the learning process and show concern for the progress made by the students.

Eggen and Kauchak (2007) state that by communicating genuine interest, the teacher is able to ignite motivation among the students who are inspired by the teacher’s dedication and feel the need to reciprocate by performing well. Teacher commitment will also demonstrate the importance of education and students will be inclined to show the same dedication to learning.

Interest in learning can be increased by having the teacher provide feedback to students. Performance feedback to the student will contribute to the increase in motivation by meeting the need to understand. Through feedback, the student will be made aware of desirable behavior and this will increase the chances of this behavior being repeated (Lins, 2007).

The teacher will also be in a position to commend the student for any progress made therefore encouraging growth. Feedback should always be provided in a timely fashion and the teacher should make sure that the student is able to easily link the feedback provided to desired class performance.

The classroom environment plays a major role in the learning process. Lins (2007) demonstrates that a friendly atmosphere where interaction among students is encouraged yields better results than an unfriendly environment. The teacher should endeavor to create this friendly environment and establish good rapport to promote a feeling of belonging by all class members.

Eggen and Kauchak (2007) contend that these feelings of relatedness inspire students to devote additional effort to attaining academic success. The rationale behind this is that in a friendly environment, the students will have realized the safety needs that appear in the lower level of Maslow’s hierarchy of needs. The students will therefore commit their efforts to attaining the higher needs of self-actualization and academic achievements will fall in this category.

Of the two kinds of motivation, intrinsic motivation is regarded as the most beneficial to the student. Intrinsically motivated students will be committed to performing the desired activities and reaching set goals because of their own desire.

On the contrary, extrinsic motivation required an external motivator in the form of either a reward for reaching goals or the threat of punishment if the goal is not reached. Eggen and Kauchak (2007) contend that educators should cultivate intrinsic motivation, which will lead to the situation where students are involved in the education process because of an internal drive of curiosity or the need to overcome challenges.

Intrinsic motivation can be cultivated by adopting strategies that promote this form of motivation. By increasing self-efficacy in students, they are likely to engage in academic activities to satisfy their curiosity or overcome challenges. Teachers can also stop attaching rewards to student performance in class since such a strategy will only promote extrinsic motivation. Promoting intrinsic motivation will ensure that students remain motivated even when there is no tangible benefit for their actions.

Adopting motivational strategies is integral to achieving and sustaining positive outcomes in the classroom. This paper set out to discuss strategies that can be employed to inculcate motivation among students. It began by suggesting ways in which the teacher can promote student involvement in the classroom.

While human motivation is extremely complex, the paper has endeavored to show how it can be achieved in the classroom using certain strategies. The paper has discussed some of these strategies for promoting motivation and reinforced their applicability by referencing a number of prominent motivational theories. By utilizing these strategies, educators will succeed in motivating students and increase their likelihood of achieving academic success.

Eggen, P.D. & Kauchak, D.P. (2007). Educational psychology: windows on classrooms . Virginia: Prentice/Merrill/Prentice Hall.

Lins, T. (2007). Motivation and Second Language Learning . Boston: GRIN Verlag.

Madden, L. (2004). Motivating Students to Learn Better Through own Goal-Setting. Education , 117(3), 411-415.

Shergill, H.K. (2009). Psychology . NY: PHI Learning Pvt. Ltd.

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Five ways to boost student motivation

A framework for creating motivationally supportive learning environments. 

• Personality
• Learning and Memory
• Teaching Psychology as a Subject
• Schools and Classrooms

One of the biggest challenges when teaching is trying to motivate students. In addition, covid -induced shifts to remote instruction (Fong, 2022) might have exacerbated students’ already declining motivations, even after beginning the “new normal.” Despite these dips in motivation, some educators may believe that students are solely responsible for motivating themselves. However, research has emphasized how educators can create motivationally-supportive environments (Robinson, 2023) to engage students while learning.

A dominant theory of academic motivation is situated expectancy-value theory (Eccles & Wigfield, 2020). This theory describes a complex series of factors that motivate achievement-related choices. Learners’ motivation is shaped by three factors, captured by the following questions: Can I do this? Do I want to do this? And, what are the costs? In other words, motivation depends on whether students feel confident to engage in a task, find value in it, and perceive minimal costs during the learning process. Using this framework as a guide, we share five ways educators can boost student motivation in their classes.

Scaffold and build confidence

Construction workers use scaffolding to reach higher elevations in a safe and secure manner, and educators can employ similar methods to help learners grow in confidence (Fong & Krause, 2014). Students may lack confidence in learning because they may have not yet mastered certain academic skills and strategies. Because previous failure and the fear of it can hinder future learning opportunities, students need to experience success—even small successes—to uplift their confidence. Scaffolding involves designing tasks that start at the students’ skill level, and gradually increasing the difficulty of the task once the learner reaches the next level. A series of prior successes can have a cascading effect on learners’ confidence to keep making progress.

Discover and connect to future goals

Learners want to engage in class when the material is useful for their future goals (Hulleman et al., 2010). Discovering what students find the most useful or relevant in the class is essential for building connections between the course content and students’ short-term and long-term goals. Students might want to pursue careers in politics or forensics, for example, so an instructor might want to tailor particular examples from social psychology or research methods to make connections with these subfields, or even current events that pertain to these topics. Recognizing connections to real-world applications, future-oriented plans, and the course content makes learning relevant to students’ goals.

Emphasize personal importance

Students are motivated not only by how useful it may be for their future but also by how personally important the course material is to them (Fong & Kremer, 2020). Educators can emphasize aspects of the course material that have salient connections to students’ personal and social identities. For example, students from racially minoritized communities may find that content about the psychology of race and racism resonates with them. Or students who grew up in a family of counselors may readily identify with content about psychopathology. Whatever course material students find personally important can serve as a critical touchstone that anchors a motivationally-supportive curriculum.

Instill true curiosity

Curiosity may have killed the cat, but being curious is truly one of the most sustainable sources of motivation. When students are genuinely interested in what they are learning, the sky’s truly the limit. To fan curiosity into flame, educators may consider the situations that trigger students’ interest (Hidi & Renninger, 2006) and be mindful of what might catch their attention. These instances become the initial sparks that educators can use to build upon and allow students to cultivate their own enduring sense of interest. For instance, students might respond enthusiastically to an in-class experiment about cognitive perception. Students might enjoy doing in-class replications of experiments or find interest in perceptual processes. Now that students’ interests are triggered, providing additional activities or exposure and a chance for them to explore similar activities on their own can nurture personal interest.

Acknowledge and reduce cost perceptions

Lastly, educators can consider how to minimize students’ perceptions of cost, defined as the negative aspects of engaging in an academic task. When students face a challenge in an academic task, they might find it effortful or frustrating. One way to reduce effort and emotional costs (Rosenzweig et al., 2020) is to help students reinterpret cost perceptions in a more positive way, such as acknowledging that challenges are mostly temporary and common to other students. Also, if educators establish appropriate expectations for how much effort is required for a task, students may calibrate how effortful a task might be, rather than overestimating how much effort is needed.

Concluding thoughts

Student motivation is an extremely complex process and depends quite a bit on the learner’s goals, contexts, or tasks. A one-size fits all approach may not always work, but we hope these five strategies can be starting points for educators to think through when creating motivationally supportive learning environments.

About the authors

Eccles, J. S., & Wigfield, A. (2020). From expectancy-value theory to situated expectancy-value theory: A developmental, social cognitive, and sociocultural perspective on motivation.  Contemporary Educational Psychology, 61,  Article 101859.  https://doi.org/10.1016/j.cedpsych.2020.101859

Fong, C. J. (2022). Academic motivation in a pandemic context: A conceptual review of prominent theories and an integrative model. Educational Psychology . Advance online publication.  https://doi.org/10.1080/01443410.2022.2026891

Fong, C. J., & Krause, J. M. (2014). Lost confidence and potential: A mixed methods study of underachieving college students’ sources of self-efficacy.  Social Psychology of Education: An International Journal, 17 (2), 249–268.  https://doi.org/10.1007/s11218-013-9239-1

Fong, C. J., & Kremer, K. P. (2020). An expectancy-value approach to math underachievement: Examining high school achievement, college attendance, and STEM interest.  Gifted Child Quarterly, 64 (2), 67–84.  https://doi.org/10.1177/0016986219890599

Hidi, S., & Renninger, K. A. (2006). The Four-Phase Model of Interest Development.  Educational Psychologist, 41 (2), 111–127.  https://doi.org/10.1207/s15326985ep4102_4

Hulleman, C. S., Godes, O., Hendricks, B. L., & Harackiewicz, J. M. (2010). Enhancing interest and performance with a utility value intervention. Journal of Educational Psychology, 102 (4), 880–895. https://doi.org/10.1037/a0019506

Robinson, K. A. (2023). Motivational climate theory: Disentangling definitions and roles of classroom motivational support, climate, and microclimates.  Educational Psychologist, 58 (2), 92–110.  https://doi.org/10.1080/00461520.2023.2198011

Rosenzweig, E. Q., Wigfield, A., & Hulleman, C. S. (2020). More useful or not so bad? Examining the effects of utility value and cost reduction interventions in college physics. Journal of Educational Psychology, 112 (1), 166–182. https://doi.org/10.1037/edu0000370

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Center for Teaching

Motivating students.

Introduction

• Expectancy – Value – Cost Model

ARCS Model of Instructional Design

Self-determination theory, additional strategies for motivating students.

Fostering student motivation is a difficult but necessary aspect of teaching that instructors must consider. Many may have led classes where students are engaged, motivated, and excited to learn, but have also led classes where students are distracted, disinterested, and reluctant to engage—and, probably, have led classes that are a mix. What factors influence students’ motivation? How can instructors promote students’ engagement and motivation to learn? While there are nuances that change from student to student, there are also models of motivation that serve as tools for thinking through and enhancing motivation in our classrooms. This guide will look at three frameworks: the expectancy-value-cost model of motivation, the ARCS model of instructional design, and self-determination theory. These three models highlight some of the major factors that influence student motivation, often drawing from and demonstrating overlap among their frameworks. The aim of this guide is to explore some of the literature on motivation and offer practical solutions for understanding and enhancing student motivation.

Expectancy – Value – Cost Model

The purpose of the original expectancy-value model was to predict students’ achievement behaviors within an educational context. The model has since been refined to include cost as one of the three major factors that influence student motivation. Below is a description of the three factors, according to the model, that influence motivation.

• Expectancy refers to a student’s expectation that they can actually succeed in the assigned task. It energizes students because they feel empowered to meet the learning objectives of the course.
• Value involves a student’s ability to perceive the importance of engaging in a particular task. This gives meaning to the assignment or activity because students are clear on why the task or behavior is valuable.
• Cost points to the barriers that impede a student’s ability to be successful on an assignment, activity and/or the course at large. Therefore, students might have success expectancies and perceive high task value, however, they might also be aware of obstacles to their engagement or a potential negative affect resulting in performance of the task, which could decrease their motivation.

Three important questions to consider from the student perspective:

1. Expectancy – Can I do the task?

2. Value – Do I want to do the task?

• Intrinsic or interest value : the inherent enjoyment that an individual experiences from engaging in the task for its own sake.

• Utility value : the usefulness of the task in helping achieve other short term or long-term goals.

• Attainment value : the task affirms a valued aspect of an individual’s identity and meets a need that is important to the individual.

3. Cost – Am I free of barriers that prevent me from investing my time, energy, and resources into the activity?

It’s important to note that expectancy, value and cost are not shaped only when a student enters your classroom. These have been shaped over time by both individual and contextual factors. Each of your students comes in with an initial response, however there are strategies for encouraging student success, clarifying subject meaning and finding ways to mitigate costs that will increase your students’ motivation. Everyone may not end up at the same level of motivation, but if you can increase each student’s motivation, it will help the overall atmosphere and productivity of the course that you are teaching.

Strategies to Enhance Expectancy, Value, and Cost

Hulleman et. al (2016) summarize research-based sources that positively impact students’ expectancy beliefs, perceptions of task value, and perceptions of cost, which might point to useful strategies that instructors can employ.

Research-based sources of expectancy-related beliefs

Research-based sources of value

Research-based sources of cost

• Barron K. E., & Hulleman, C. S. (2015). Expectancy-value-cost model of motivation. International Encyclopedia of Social and Behavioral Sciences, 8 , 503-509.
• Hulleman, C. S., Barron, K. E., Kosovich, J. J., & Lazowski, R. A. (2016). Student motivation: Current theories, constructs, and interventions within an expectancy-value framework. In A. A. Lipnevich et al. (Eds.), Psychosocial Skills and School Systems in the 21st Century . Switzerland: Springer International Publishing.

The ARCS model of instructional design was created to improve the motivational appeal of instructional materials. The ARCS model is grounded in an expectancy-value framework, which assumes that people are motivated to engage in an activity if it’s perceived to be linked to the satisfaction of personal needs and if there is a positive expectancy for success. The purpose of this model was to fill a gap in the motivation literature by providing a model that could more clearly allow instructors to identify strategies to help improve motivation levels within their students.

ARCS is an acronym that stands for four factors, according to the model, that influence student motivation: attention, relevance, confidence, and satisfaction.

• Attention refers to getting and sustaining student attention and directing attention to the appropriate stimuli.
• Relevance involves making instruction applicable to present and future career opportunities, showing that learning in it of itself is enjoyable, and/or focusing on process over product by satisfying students’ psychological needs (e.g., need for achievement, need for affiliation).
• Confidence includes helping students believe that some level of success is possible if effort is exerted.
• Satisfaction is attained by helping students feel good about their accomplishments and allowing them to exert some degree of control over the learning experience.

To use the ARCS instructional design model, these steps can be followed:

• Classify the problem
• Analyze audience motivation
• Prepare motivational objectives (i.e., identify which factor in the ARCS model to target based on the defined problem and audience analysis).
• Generate potential motivational strategies for each objective
• Select strategies that a) don’t take up too much instructional time; b) don’t detract from instructional objectives; c) fall within time and money constraints; d) are acceptable to the audience; and e) are compatible with the instructor’s personal style, preferences, and mode of instruction.
• Prepare motivational elements
• Integrate materials with instruction
• Conduct a developmental try-out
• Assess motivational outcomes

Strategies to Enhance Attention, Relevance, Confidence, and Satisfaction

Keller (1987) provides several suggestions for how instructors can positively impact students’ attention, perceived relevance, confidence, and satisfaction.

Attention Strategies

Incongruity, Conflict

• Introduce a fact that seems to contradict the learner’s past experience.
• Present an example that does not seem to exemplify a given concept.
• Introduce two equally plausible facts or principles, only one of which can be true.
• Play devil’s advocate.

Concreteness

• Show visual representations of any important object or set of ideas or relationships.
• Give examples of every instructionally important concept or principle.
• Use content-related anecdotes, case studies, biographies, etc.

Variability

• In stand up delivery, vary the tone of your voice, and use body movement, pauses, and props.
• Vary the format of instruction (information presentation, practice, testing, etc.) according to the attention span of the audience.
• Vary the medium of instruction (platform delivery, film, video, print, etc.).
• Break up print materials by use of white space, visuals, tables, different typefaces, etc.
• Change the style of presentation (humorous-serious, fast-slow, loud-soft, active-passive, etc.).
• Shift between student-instructor interaction and student-student interaction.
• Where appropriate, use plays on words during redundant information presentation.
• Use humorous introductions.
• Use humorous analogies to explain and summarize.
• Use creativity techniques to have learners create unusual analogies and associations to the content.
• Build in problem solving activities at regular interval.
• Give learners the opportunity to select topics, projects and assignments that appeal to their curiosity and need to explore.

Participation

• Use games, role plays, or simulations that require learner participation.

Relevance Strategies

• State explicitly how the instruction builds on the learner’s existing skills.
• Use analogies familiar to the learner from past experience.
• Find out what the learners’ interests are and relate them to the instruction.

Present Worth

• State explicitly the present intrinsic value of learning the content, as distinct from its value as a link to future goals.

Future Usefulness

• State explicitly how the instruction relates to future activities of the learner.
• Ask learners to relate the instruction to their own future goals (future wheel).

Need Matching

• To enhance achievement striving behavior, provide opportunities to achieve standards of excellence under conditions of moderate risk.
• To make instruction responsive to the power motive, provide opportunities for responsibility, authority, and interpersonal influence.
• To satisfy the need for affiliation, establish trust and provide opportunities for no-risk, cooperative interaction.
• Bring in alumni of the course as enthusiastic guest lecturers.
• In a self-paced course, use those who finish first as deputy tutors.
• Model enthusiasm for the subject taught.
• Provide meaningful alternative methods for accomplishing a goal.
• Provide personal choices for organizing one’s work.

Confidence Strategies

Learning Requirements

• Incorporate clearly stated, appealing learning goals into instructional materials.
• Provide self-evaluation tools which are based on clearly stated goals.
• Explain the criteria for evaluation of performance.
• Organize materials on an increasing level of difficulty; that is, structure the learning material to provide a “conquerable” challenge.

Expectations

• Include statements about the likelihood of success with given amounts of effort and ability.
• Teach students how to develop a plan of work that will result in goal accomplishment.
• Help students set realistic goals.

Attributions

• Attribute student success to effort rather than luck or ease of task when appropriate (i.e., when you know it’s true!).
• Encourage student efforts to verbalize appropriate attributions for both successes and failures.

Self-Confidence

• Allow students opportunity to become increasingly independent in learning and practicing a skill.
• Have students learn new skills under low risk conditions, but practice performance of well-learned tasks under realistic conditions.
• Help students understand that the pursuit of excellence does not mean that anything short of perfection is failure; learn to feel good about genuine accomplishment.

Satisfaction Strategies

Natural Consequences

• Allow a student to use a newly acquired skill in a realistic setting as soon as possible.
• Verbally reinforce a student’s intrinsic pride in accomplishing a difficult task.
• Allow a student who masters a task to help others who have not yet done so.

Unexpected Rewards

• Reward intrinsically interesting task performance with unexpected, non-contingent rewards.
• Reward boring tasks with extrinsic, anticipated rewards.

Positive Outcomes

• Give verbal praise for successful progress or accomplishment.
• Give personal attention to students.
• Provide informative, helpful feedback when it is immediately useful.
• Provide motivating feedback (praise) immediately following task performance.

Negative Influences

• Avoid the use of threats as a means of obtaining task performance.
• Avoid surveillance (as opposed to positive attention).
• Avoid external performance evaluations whenever it is possible to help the student evaluate his or her own work.
• Provide frequent reinforcements when a student is learning a new task.
• Provide intermittent reinforcement as a student becomes more competent at a task.
• Vary the schedule of reinforcements in terms of both interval and quantity.

Source: Keller, J. M. (1987). Development and use of the ARCS model of instructional design. Journal of Instructional Development, 10 , 2-10.

Self-determination theory (SDT) is a macro-theory of human motivation, emotion, and development that is concerned with the social conditions that facilitate or hinder human flourishing. While applicable to many domains, the theory has been commonly used to understand what moves students to act and persist in educational settings. SDT focuses on the factors that influence intrinsic and extrinsic motivation, which primarily involves the satisfaction of basic psychological needs.

Basic Psychological Needs

SDT posits that human motivation is guided by the need to fulfill basic psychological needs for autonomy, competence, and relatedness.

• Autonomy refers to having a choice in one’s own individual behaviors and feeling that those behaviors stem from individual volition rather than from external pressure or control. In educational contexts, students feel autonomous when they are given options, within a structure, about how to perform or present their work.
• Competence refers to perceiving one’s own behaviors or actions as effective and efficient. Students feel competent when they are able to track their progress in developing skills or an understanding of course material. This is often fostered when students receive clear feedback regarding their progression in the class.
• Relatedness refers to feeling a sense of belonging, closeness, and support from others. In educational settings, relatedness is fostered when students feel connected, both intellectually and emotionally, to their peers and instructors in the class. This can often be accomplished through interactions that allow members of the class to get to know each other on a deeper, more personal level.

Continuum of Self-Determination

SDT also posits that motivation exists on a continuum. When an environment provides enough support for the satisfaction of the psychological needs of autonomy, competence and relatedness, an individual may experience self-determined forms of motivation: intrinsic motivation, integration, and identification. Self-determined motivation occurs when there is an internal perceived locus of causality (i.e., internal factors are the main driving force for the behavior). Integration and identification are also grouped as autonomous extrinsic motivation as the behavior is driven by internal and volitional choice.

Intrinsic motivation , which is the most self-determined type of motivation, occurs when individuals naturally and spontaneously perform behaviors as a result of genuine interest and enjoyment.

Integrated regulation is when individuals identify the importance of a behavior, integrate this behavior into their self-concept, and pursue activities that align with this self-concept.

Identified regulation is where people identify and recognize the value of a behavior, which then drives their action.

When an environment does not provide enough support for the satisfaction of autonomy, competence, and relatedness, an individual may experience non-self-determined forms of motivation: introjection and external regulation. Introjection and external regulation are grouped as controlled extrinsic motivation because people enact these behaviors due to external or internal pressures.

Introjected regulation occurs when individuals are controlled by internalized consequences administered by the individual themselves, such as pride, shame, or guilt.

External regulation is when people’s behaviors are controlled exclusively by external factors, such as rewards or punishments.

Finally, at the bottom of the continuum is amotivation, which is lowest form of motivation.

Amotivation exists when there is a complete lack of intention to behave and there is no sense of achievement or purpose when the behavior is performed.

Below is a figure depicting the continuum of self-determination taken from Lonsdale, Hodge, and Rose (2009).

Although having intrinsically motivated students would be the ultimate goal, it may not be a practical one within educational settings. That’s because there are several tasks that are required of students to meet particular learning objectives that may not be inherently interesting or enjoyable. Instead, instructors can employ various strategies to satisfy students’ basic psychological needs, which should move their level of motivation along the continuum, and hopefully lead to more self-determined forms of motivation, thus yielding the greatest rewards in terms of student academic outcomes.

Below are suggestions for how instructors can positively impact students’ perceived autonomy, competence, and relatedness.

Strategies to Enhance Autonomy, Competence, and Relatedness

Autonomy strategies.

• Have students choose paper topics
• Have students choose the medium with which they will present their work
• Co-create rubrics with students (e.g., participation rubrics, assignment rubrics)
• Have students choose the topics you will cover in a particular unit
• Drop the lowest assessment or two (e.g., quizzes, exams, homework)
• Have students identify preferred assignment deadlines
• Gather mid-semester feedback and make changes based on student suggestions
• Provide meaningful rationales for learning activities
• Acknowledge students’ feelings about the learning process or learning activities throughout the course

Competence Strategies

• Set high but achievable learning objectives
• Communicate to students that you believe they can meet your high expectations
• Communicate clear expectations for each assignment (e.g., use rubrics)
• Include multiple low-stakes assessments
• Give students practice with feedback before assessments
• Provide lots of early feedback to students
• Have students provide peer feedback
• Scaffold assignments
• Praise student effort and hard work
• Provide a safe environment for students to fail and then learn from their mistakes

Relatedness Strategies

• Share personal anecdotes
• Get to know students via small talk before/after class and during breaks
• Require students to come to office hours (individually or in small groups)
• Have students complete a survey where they share information about themselves
• Use students’ names (perhaps with the help of name tents)
• Have students incorporate personal interests into their assignments
• Share a meal with students or bring food to class
• Incorporate group activities during class, and allow students to work with a variety of peers
• Arrange formal study groups
• Convey warmth, caring, and respect to students
• Lonsdale, C., Hodge, K., & Rose, E. (2009). Athlete burnout in elite sport: A self-determination perspective. Journal of Sports Sciences, 27, 785-795.
• Niemiec, C. P., & Ryan, R. M. (2009). Autonomy, competence, and relatedness in the classroom: Applying self-determination theory to educational practice. Theory and Research in Education, 7, 133-144.
• Ryan, R. M., & Deci, E. L. (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness . New York: Guilford.

Below are some additional research-based strategies for motivating students to learn.

• Become a role model for student interest . Deliver your presentations with energy and enthusiasm. As a display of your motivation, your passion motivates your students. Make the course personal, showing why you are interested in the material.
• Get to know your students.  You will be able to better tailor your instruction to the students’ concerns and backgrounds, and your personal interest in them will inspire their personal loyalty to you. Display a strong interest in students’ learning and a faith in their abilities.
• Use examples freely.  Many students want to be shown why a concept or technique is useful before they want to study it further. Inform students about how your course prepares students for future opportunities.
• Teach by discovery. Students find it satisfying to reason through a problem and discover the underlying principle on their own.
• Cooperative learning activities are particularly effective as they also provide positive social pressure.
• Set realistic performance goals  and help students achieve them by encouraging them to set their own reasonable goals. Design assignments that are appropriately challenging in view of the experience and aptitude of the class.
• Place appropriate emphasis on testing and grading.  Tests should be a means of showing what students have mastered, not what they have not. Avoid grading on the curve and give everyone the opportunity to achieve the highest standard and grades.
• Be free with praise and constructive in criticism.  Negative comments should pertain to particular performances, not the performer. Offer nonjudgmental feedback on students’ work, stress opportunities to improve, look for ways to stimulate advancement, and avoid dividing students into sheep and goats.
• Give students as much control over their own education as possible.  Let students choose paper and project topics that interest them. Assess them in a variety of ways (tests, papers, projects, presentations, etc.) to give students more control over how they show their understanding to you. Give students options for how these assignments are weighted.
• Bain, K. (2004). What the best college teachers do. Cambridge, MA: Harvard University Press.
• DeLong, M., & Winter, D. (2002).  Learning to teach and teaching to learn mathematics: Resources for professional development . Washington, D.C.: Mathematical Association of America.
• Nilson, L. (2016). Teaching at its best: A research-based resource for college instructors  (4 th ed.). San Francisco, CA: Josey-Bass.

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How to Motivate Students: 12 Classroom Tips & Examples

Inspire. Instill drive. Incite excitement. Stimulate curiosity.

These are all common goals for many educators. However, what can you do if your students lack motivation? How do you light that fire and keep it from burning out?

This article will explain and provide examples of both intrinsic and extrinsic motivation in the classroom. Further, we will provide actionable methods to use right now in your classroom to motivate the difficult to motivate. Let’s get started!

Before you continue, we thought you might like to download our three Positive Education Exercises for free . These ready-made tools are perfect for enhancing your teaching approach, making it easier to engage students in meaningful, student-centered learning.

This Article Contains:

The science of motivation explained, how to motivate students in the classroom, 9 ways teachers can motivate students, encouraging students to ask questions: 3 tips, motivating students in online classes, helpful resources from positivepsychology.com, a take-home message.

Goal-directed activities are started and sustained by motivation. “Motivational processes are personal/internal influences that lead to outcomes such as choice, effort, persistence, achievement, and environmental regulation” (Schunk & DiBenedetto, 2020). There are two types of motivation: intrinsic and extrinsic.

Intrinsic motivation is internal to a person.

For example, you may be motivated to achieve satisfactory grades in a foreign language course because you genuinely want to become fluent in the language. Students like this are motivated by their interest, enjoyment, or satisfaction from learning the material.

Not surprisingly, intrinsic motivation is congruous with higher performance and predicts student performance and higher achievement (Ryan & Deci, 2020).

Extrinsic motivation is derived from a more external source and involves a contingent reward (Benabou & Tirole, 2003).

For example, a student may be motivated to achieve satisfactory grades in a foreign language course because they receive a tangible reward or compliments for good grades. Their motivation is fueled by earning external rewards or avoiding punishments. Rewards may even include approval from others, such as parents or teachers.

Self-determination theory addresses the why of behavior and asserts that there are various motivation types that lie on a continuum, including external motivation, internal motivation, and amotivation (Sheehan et al., 2018).

• Relatedness

Student autonomy is the ownership they take of their learning or initiative.

Generate students’ autonomy by involving them in decision-making. Try blended learning, which combines whole class lessons with independent learning. Teach accountability by holding students accountable and modeling and thinking aloud your own accountability.

In addressing competence, students must feel that they can succeed and grow. Assisting students in developing their self-esteem is critical. Help students see their strengths and refer to their strengths often. Promote a kid’s growth mindset .

Relatedness refers to the students’ sense of belonging and connection. Build this by establishing relationships. Facilitate peer connections by using team-building exercises and encouraging collaborative learning. Develop your own relationship with each student. Explore student interests to develop common ground.

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Motivating students while teaching a subject and providing classroom management is definitely a juggling act. Try introducing a few of the suggestions below and see what happens.

Relationships

First and foremost, it is critical to develop relationships with your students. When students begin formal schooling, they need to develop quality relationships, as interpersonal relationships in the school setting influence children’s development and positively impact student outcomes, which includes their motivation to learn, behavior, and cognitive skills (McFarland et al., 2016).

Try administering interest inventories at the beginning of the school year. Make a point to get to know each student and demonstrate your interest by asking them about their weekend, sports game, or other activities they may participate in.

Physical learning environment

Modify the physical learning environment. Who says students need to sit in single-file rows all facing the front of the room or even as desks for that matter?

Flexible seating is something you may want to try. Students who are comfortable in a learning space are better engaged, which leads to more meaningful, impactful learning experiences (Cole et al., 2021). You may try to implement pillows, couches, stools, rocking chairs, rolling chairs, bouncing chairs, or even no chairs at all.

Include parents

Involve parents and solicit their aid to help encourage students. Parents are a key factor in students’ motivation (Tóth-Király et al., 2022).

It is important to develop your relationship with these crucial allies. Try making positive phone calls home prior to the negative phone calls to help build an effective relationship. Involve parents by sending home a weekly newsletter or by inviting them into your classroom for special events. Inform them that you are a team and have the same goals for their child.

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The relevance of the material is critical for instilling motivation. Demonstrating why the material is useful or tying the material directly to students’ lives is necessary for obtaining student interest.

It would come as no surprise that if a foreign language learner is not using relevant material, it will take longer for that student to acquire the language and achieve their goals (Shatz, 2014). If students do not understand the importance or real-world application for what they are learning, they may not be motivated to learn.

Student-centered learning

Student-centered learning approaches have been proven to be more effective than teacher-centered teaching approaches (Peled et al., 2022).

A student-centered approach engages students in the learning process, whereas a teacher-centered approach involves the teacher delivering the majority of the information. This type of teaching requires students to construct meaning from new information and prior experience.

Give students autonomy and ownership of what they learn. Try enlisting students as the directors of their own learning and assign project-based learning activities.

Find additional ways to integrate technology. Talk less and encourage the students to talk more. Involving students in decision-making and providing them opportunities to lead are conducive to a student-centered learning environment.

Collaborative learning

Collaborative learning is definitely a strategy to implement in the classroom. There are both cognitive and motivational benefits to collaborative learning (Järvelä et al., 2010), and social learning theory is a critical lens with which to examine motivation in the classroom.

You may try assigning group or partner work where students work together on a common task. This is also known as cooperative learning. You may want to offer opportunities for both partner and small group work. Allowing students to choose their partners or groups and assigning partners or groups should also be considered.

Alternative answering

Have you ever had a difficult time getting students to answer your questions? Who says students need to answer verbally? Try using alternative answering methods, such as individual whiteboards, personal response systems such as “clickers,” or student response games such as Kahoot!

Quizlet is also an effective method for obtaining students’ answers (Setiawan & Wiedarti, 2020). Using these tools allows every student to participate, even the timid students, and allows the teacher to perform a class-wide formative assessment on all students.

New teaching methods

Vary your teaching methods. If you have become bored with the lessons you are delivering, it’s likely that students have also become bored.

Try new teaching activities, such as inviting a guest speaker to your classroom or by implementing debates and role-play into your lessons. Teacher and student enjoyment in the classroom are positively linked, and teachers’ displayed enthusiasm affects teacher and student enjoyment (Frenzel et al., 2009).

Perhaps check out our article on teacher burnout to reignite your spark in the classroom. If you are not enjoying yourself, your students aren’t likely to either.

Aside from encouraging students to answer teacher questions, prompting students to ask their own questions can also be a challenge.

When students ask questions, they demonstrate they are thinking about their learning and are engaged. Further, they are actively filling the gaps in their knowledge. Doğan and Yücel-Toy (2020, p. 2237) posit:

“The process of asking questions helps students understand the new topic, realize others’ ideas, evaluate their own progress, monitor learning processes, and increase their motivation and interest on the topic by arousing curiosity.”

Student-created questions are critical to an effective learning environment. Below are a few tips to help motivate students to ask questions.

Instill confidence and a safe environment

Students need to feel safe in their classrooms. A teacher can foster this environment by setting clear expectations of respect between students. Involve students in creating a classroom contract or norms.

Refer to your classroom’s posted contract or norms periodically to review student expectations. Address any deviation from these agreements and praise students often. Acknowledge all students’ responses, no matter how wild or off-topic they may be.

Graphic organizers

Provide students with graphic organizers such as a KWL chart. The KWL chart helps students organize what they already Know , what they Want to learn, and what they Learned .

Tools such as these will allow students to process their thinking and grant them time to generate constructive questions. Referring to this chart will allow more timid students to share their questions.

Although intrinsic motivation is preferred (Ryan & Deci, 2020), incentives should also be used when appropriate. Token systems, where students can exchange points for items, are an effective method for improving learning and positively affecting student behavior (Homer et al., 2018).

Tangible and intangible incentives may be used to motivate students if they have not developed intrinsic motivation. Intangible items may include lunch with the teacher, a coupon to only complete half of an assignment, or a show-and-tell session. Of course, a good old-fashioned treasure box may help as well.

If students are unwilling to ask questions in front of the class, try implementing a large poster paper where students are encouraged to use sticky notes to write down their questions. Teachers may refer to the questions and answer them at a separate time. This practice is called a “parking lot.” Also, consider allowing students to share questions in small groups or with partners.

Student motivation: how to motivate students to learn

Just as in the face-to-face setting, relationships are crucial for online student motivation as well. Build relationships by getting to know your students’ interests. Determining student interests will also be key in the virtual environment.

Try incorporating a show-and-tell opportunity where students can display and talk about objects from around their home that are important to them. Peer-to-peer relationships should also be encouraged, and accomplishing this feat in an online class can be difficult. Here is a resource you can use to help plan team-building activities to bring your students together.

Game-based response systems such as Kahoot! may increase motivation. These tools use gamification to encourage motivation and engagement.

Incentives may also be used in the computer-based setting. Many schools have opted to use Positive Behavior Interventions and Supports Rewards . This curriculum nurtures a positive school culture and aims to improve student behavior. Points are earned by students meeting expectations and can be exchanged for items in an online store.

To further develop strong relationships with students and parents, remark on the relevancy of the materials and instill a student-centered learning approach that addresses autonomy. You may also wish to include alternative means of answering questions, vary your teaching methods, and implement collaborative learning.

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We have many useful articles and worksheets you can use with your students. To get an excellent start on the foundations of motivation, we recommend our article What Is Motivation? A Psychologist Explains .

If you’re curious about intrinsic motivation, you may be interested in What Is Intrinsic Motivation? 10 Examples and Factors Explained .

Perhaps using kids’ reward coupons such as these may help increase motivation. Teachers could modify the coupons to fit their classroom or share these exact coupons with parents at parent–teacher conferences to reinforce children’s efforts at school .

For some students, coloring is an enjoyable and creative outlet. Try using a coloring sheet such as this Decorating Cookies worksheet for when students complete their work or as a reward for good behavior.

If you want to integrate the evidence-based principles of positive psychology into the classroom, consider this collection of 17 validated positive education exercises . Use them to enhance student engagement, resilience and wellbeing while also equipping students with valuable life skills.

“The task of the modern educator is not to cut down jungles, but to irrigate deserts.”

C. S. Lewis

While we know how challenging it is to motivate students while teaching our specific subjects and attending to classroom management, we also understand the importance of motivation.

You will have some students enter your classroom with unequivocally developed intrinsic motivation, and you will have students enter your classroom with absolutely no motivation.

Teachers have to be able to teach everyone who walks into their classroom and incite motivation in those who have no motivation at all. Motivating the difficult to motivate is challenging; however, it can be done.

As Plutarch asserted, it is better to think of education as “a fire to be kindled” as opposed to “a vessel to be filled.” In addressing the needs of students with little to no motivation, it will take more time, patience, and understanding; however, implementing a few of these strategies will put you on the fast track to lighting that fire.

We hope you enjoyed reading this article. Don’t forget to download our three Positive Education Exercises for free .

• Benabou, R., & Tirole, J. (2003). Intrinsic and extrinsic motivation. The Review of Economic Studies , 70 (3), 489–495. https://doi.org/10.1111/1467-937X.00253
• Cole, K., Schroeder, K., Bataineh, M., & Al-Bataineh, A. (2021). Flexible seating impact on classroom environment. Turkish Online Journal of Educational Technology-TOJET , 20 (2), 62–74.
• Doğan, F., & Yücel-Toy, B. (2020). Development of an attitude scale towards asking questions for elementary education students. Ilkogretim Online, 19 (4), 2237–2248.
• Frenzel, A. C., Goetz, T., Lüdtke, O., Pekrun, R., & Sutton, R. E. (2009). Emotional transmission in the classroom: Exploring the relationship between teacher and student enjoyment. Journal of Educational Psychology , 101 (3), 705–716. https://doi.org/10.1037/a0014695
• Homer, R., Hew, K. F., & Tan, C. Y. (2018). Comparing digital badges-and-points with classroom token systems: Effects on elementary school ESL students’ classroom behavior and English learning. Journal of Educational Technology & Society , 21 (1), 137–151.
• Järvelä, S., Volet, S., & Järvenoja, H. (2010). Research on motivation in collaborative learning: Moving beyond the cognitive–situative divide and combining individual and social processes. Educational Psychologist , 45 (1), 15–27. https://doi.org/10.1080/00461520903433539
• Kippers, W. B., Wolterinck, C. H., Schildkamp, K., Poortman, C. L., & Visscher, A. J. (2018). Teachers’ views on the use of assessment for learning and data-based decision making in classroom practice. Teaching and Teacher Education , 75 , 199–213. https://doi.org/10.1016/j.tate.2018.06.015
• McFarland, L., Murray, E., & Phillipson, S. (2016). Student–teacher relationships and student self-concept: Relations with teacher and student gender. Australian Journal of Education , 60 (1), 5–25. https://doi.org/10.1177/0004944115626426
• Peled, Y., Blau, I., & Grinberg, R. (2022). Crosschecking teachers’ perspectives on learning in a one-to-one environment with their actual classroom behavior: A longitudinal study. Education and Information Technologies , 1–24. https://doi.org/10.1007/s10639-021-10809-4
• Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology , 61 , 101860. https://doi.org/10.1016/j.cedpsych.2020.101860
• Schunk, D. H., & DiBenedetto, M. K. (2020). Motivation and social cognitive theory. Contemporary Educational Psychology , 60 , 101832. https://doi.org/10.1016/j.cedpsych.2019.101832
• Setiawan, M. R., & Wiedarti, P. (2020). The effectiveness of Quizlet application towards students’ motivation in learning vocabulary. Studies in English Language and Education , 7 (1), 83–95. https://doi.org/10.24815/siele.v7i1.15359
• Shatz, I. (2014). Parameters for assessing the effectiveness of language learning strategies. Journal of Language and Cultural Education , 2 (3), 96–103.
• Sheehan, R. B., Herring, M. P., & Campbell, M. J. (2018). Associations between motivation and mental health in sport: A test of the hierarchical model of intrinsic and extrinsic motivation. Frontiers in Psychology , 9 , 707. https://doi.org/10.3389/fpsyg.2018.00707
• Tóth-Király, I., Morin, A. J., Litalien, D., Valuch, M., Bőthe, B., Orosz, G., & Rigó, A. (2022). Self-determined profiles of academic motivation. Motivation and Emotion , 1–19. https://doi.org/10.1007/s11031-021-09918-x

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ORIGINAL RESEARCH article

The importance of students’ motivation for their academic achievement – replicating and extending previous findings.

• 1 Department of Psychology, TU Dortmund University, Dortmund, Germany
• 2 Department of Psychology, Philipps-Universität Marburg, Marburg, Germany
• 3 Department of Psychology, Heidelberg University, Heidelberg, Germany

Achievement motivation is not a single construct but rather subsumes a variety of different constructs like ability self-concepts, task values, goals, and achievement motives. The few existing studies that investigated diverse motivational constructs as predictors of school students’ academic achievement above and beyond students’ cognitive abilities and prior achievement showed that most motivational constructs predicted academic achievement beyond intelligence and that students’ ability self-concepts and task values are more powerful in predicting their achievement than goals and achievement motives. The aim of the present study was to investigate whether the reported previous findings can be replicated when ability self-concepts, task values, goals, and achievement motives are all assessed at the same level of specificity as the achievement criteria (e.g., hope for success in math and math grades). The sample comprised 345 11th and 12th grade students ( M = 17.48 years old, SD = 1.06) from the highest academic track (Gymnasium) in Germany. Students self-reported their ability self-concepts, task values, goal orientations, and achievement motives in math, German, and school in general. Additionally, we assessed their intelligence and their current and prior Grade point average and grades in math and German. Relative weight analyses revealed that domain-specific ability self-concept, motives, task values and learning goals but not performance goals explained a significant amount of variance in grades above all other predictors of which ability self-concept was the strongest predictor. Results are discussed with respect to their implications for investigating motivational constructs with different theoretical foundation.

Introduction

Achievement motivation energizes and directs behavior toward achievement and therefore is known to be an important determinant of academic success (e.g., Robbins et al., 2004 ; Hattie, 2009 ; Plante et al., 2013 ; Wigfield et al., 2016 ). Achievement motivation is not a single construct but rather subsumes a variety of different constructs like motivational beliefs, task values, goals, and achievement motives (see Murphy and Alexander, 2000 ; Wigfield and Cambria, 2010 ; Wigfield et al., 2016 ). Nevertheless, there is still a limited number of studies, that investigated (1) diverse motivational constructs in relation to students’ academic achievement in one sample and (2) additionally considered students’ cognitive abilities and their prior achievement ( Steinmayr and Spinath, 2009 ; Kriegbaum et al., 2015 ). Because students’ cognitive abilities and their prior achievement are among the best single predictors of academic success (e.g., Kuncel et al., 2004 ; Hailikari et al., 2007 ), it is necessary to include them in the analyses when evaluating the importance of motivational factors for students’ achievement. Steinmayr and Spinath (2009) did so and revealed that students’ domain-specific ability self-concepts followed by domain-specific task values were the best predictors of students’ math and German grades compared to students’ goals and achievement motives. However, a flaw of their study is that they did not assess all motivational constructs at the same level of specificity as the achievement criteria. For example, achievement motives were measured on a domain-general level (e.g., “Difficult problems appeal to me”), whereas students’ achievement as well as motivational beliefs and task values were assessed domain-specifically (e.g., math grades, math self-concept, math task values). The importance of students’ achievement motives for math and German grades might have been underestimated because the specificity levels of predictor and criterion variables did not match (e.g., Ajzen and Fishbein, 1977 ; Baranik et al., 2010 ). The aim of the present study was to investigate whether the seminal findings by Steinmayr and Spinath (2009) will hold when motivational beliefs, task values, goals, and achievement motives are all assessed at the same level of specificity as the achievement criteria. This is an important question with respect to motivation theory and future research in this field. Moreover, based on the findings it might be possible to better judge which kind of motivation should especially be fostered in school to improve achievement. This is important information for interventions aiming at enhancing students’ motivation in school.

Theoretical Relations Between Achievement Motivation and Academic Achievement

We take a social-cognitive approach to motivation (see also Pintrich et al., 1993 ; Elliot and Church, 1997 ; Wigfield and Cambria, 2010 ). This approach emphasizes the important role of students’ beliefs and their interpretations of actual events, as well as the role of the achievement context for motivational dynamics (see Weiner, 1992 ; Pintrich et al., 1993 ; Wigfield and Cambria, 2010 ). Social cognitive models of achievement motivation (e.g., expectancy-value theory by Eccles and Wigfield, 2002 ; hierarchical model of achievement motivation by Elliot and Church, 1997 ) comprise a variety of motivation constructs that can be organized in two broad categories (see Pintrich et al., 1993 , p. 176): students’ “beliefs about their capability to perform a task,” also called expectancy components (e.g., ability self-concepts, self-efficacy), and their “motivational beliefs about their reasons for choosing to do a task,” also called value components (e.g., task values, goals). The literature on motivation constructs from these categories is extensive (see Wigfield and Cambria, 2010 ). In this article, we focus on selected constructs, namely students’ ability self-concepts (from the category “expectancy components of motivation”), and their task values and goal orientations (from the category “value components of motivation”).

According to the social cognitive perspective, students’ motivation is relatively situation or context specific (see Pintrich et al., 1993 ). To gain a comprehensive picture of the relation between students’ motivation and their academic achievement, we additionally take into account a traditional personality model of motivation, the theory of the achievement motive ( McClelland et al., 1953 ), according to which students’ motivation is conceptualized as a relatively stable trait. Thus, we consider the achievement motives hope for success and fear of failure besides students’ ability self-concepts, their task values, and goal orientations in this article. In the following, we describe the motivation constructs in more detail.

Students’ ability self-concepts are defined as cognitive representations of their ability level ( Marsh, 1990 ; Wigfield et al., 2016 ). Ability self-concepts have been shown to be domain-specific from the early school years on (e.g., Wigfield et al., 1997 ). Consequently, they are frequently assessed with regard to a certain domain (e.g., with regard to school in general vs. with regard to math).

In the present article, task values are defined in the sense of the expectancy-value model by Eccles et al. (1983) and Eccles and Wigfield (2002) . According to the expectancy-value model there are three task values that should be positively associated with achievement, namely intrinsic values, utility value, and personal importance ( Eccles and Wigfield, 1995 ). Because task values are domain-specific from the early school years on (e.g., Eccles et al., 1993 ; Eccles and Wigfield, 1995 ), they are also assessed with reference to specific subjects (e.g., “How much do you like math?”) or on a more general level with regard to school in general (e.g., “How much do you like going to school?”).

Students’ goal orientations are broader cognitive orientations that students have toward their learning and they reflect the reasons for doing a task (see Dweck and Leggett, 1988 ). Therefore, they fall in the broad category of “value components of motivation.” Initially, researchers distinguished between learning and performance goals when describing goal orientations ( Nicholls, 1984 ; Dweck and Leggett, 1988 ). Learning goals (“task involvement” or “mastery goals”) describe people’s willingness to improve their skills, learn new things, and develop their competence, whereas performance goals (“ego involvement”) focus on demonstrating one’s higher competence and hiding one’s incompetence relative to others (e.g., Elliot and McGregor, 2001 ). Performance goals were later further subdivided into performance-approach (striving to demonstrate competence) and performance-avoidance goals (striving to avoid looking incompetent, e.g., Elliot and Church, 1997 ; Middleton and Midgley, 1997 ). Some researchers have included work avoidance as another component of achievement goals (e.g., Nicholls, 1984 ; Harackiewicz et al., 1997 ). Work avoidance refers to the goal of investing as little effort as possible ( Kumar and Jagacinski, 2011 ). Goal orientations can be assessed in reference to specific subjects (e.g., math) or on a more general level (e.g., in reference to school in general).

McClelland et al. (1953) distinguish the achievement motives hope for success (i.e., positive emotions and the belief that one can succeed) and fear of failure (i.e., negative emotions and the fear that the achievement situation is out of one’s depth). According to McClelland’s definition, need for achievement is measured by describing affective experiences or associations such as fear or joy in achievement situations. Achievement motives are conceptualized as being relatively stable over time. Consequently, need for achievement is theorized to be domain-general and, thus, usually assessed without referring to a certain domain or situation (e.g., Steinmayr and Spinath, 2009 ). However, Sparfeldt and Rost (2011) demonstrated that operationalizing achievement motives subject-specifically is psychometrically useful and results in better criterion validities compared with a domain-general operationalization.

Empirical Evidence on the Relative Importance of Achievement Motivation Constructs for Academic Achievement

A myriad of single studies (e.g., Linnenbrink-Garcia et al., 2018 ; Muenks et al., 2018 ; Steinmayr et al., 2018 ) and several meta-analyses (e.g., Robbins et al., 2004 ; Möller et al., 2009 ; Hulleman et al., 2010 ; Huang, 2011 ) support the hypothesis of social cognitive motivation models that students’ motivational beliefs are significantly related to their academic achievement. However, to judge the relative importance of motivation constructs for academic achievement, studies need (1) to investigate diverse motivational constructs in one sample and (2) to consider students’ cognitive abilities and their prior achievement, too, because the latter are among the best single predictors of academic success (e.g., Kuncel et al., 2004 ; Hailikari et al., 2007 ). For effective educational policy and school reform, it is crucial to obtain robust empirical evidence for whether various motivational constructs can explain variance in school performance over and above intelligence and prior achievement. Without including the latter constructs, we might overestimate the importance of motivation for achievement. Providing evidence that students’ achievement motivation is incrementally valid in predicting their academic achievement beyond their intelligence or prior achievement would emphasize the necessity of designing appropriate interventions for improving students’ school-related motivation.

There are several studies that included expectancy and value components of motivation as predictors of students’ academic achievement (grades or test scores) and additionally considered students’ prior achievement ( Marsh et al., 2005 ; Steinmayr et al., 2018 , Study 1) or their intelligence ( Spinath et al., 2006 ; Lotz et al., 2018 ; Schneider et al., 2018 ; Steinmayr et al., 2018 , Study 2, Weber et al., 2013 ). However, only few studies considered intelligence and prior achievement together with more than two motivational constructs as predictors of school students’ achievement ( Steinmayr and Spinath, 2009 ; Kriegbaum et al., 2015 ). Kriegbaum et al. (2015) examined two expectancy components (i.e., ability self-concept and self-efficacy) and eight value components (i.e., interest, enjoyment, usefulness, learning goals, performance-approach, performance-avoidance goals, and work avoidance) in the domain of math. Steinmayr and Spinath (2009) investigated the role of an expectancy component (i.e., ability self-concept), five value components (i.e., task values, learning goals, performance-approach, performance-avoidance goals, and work avoidance), and students’ achievement motives (i.e., hope for success, fear of failure, and need for achievement) for students’ grades in math and German and their GPA. Both studies used relative weights analyses to compare the predictive power of all variables simultaneously while taking into account multicollinearity of the predictors ( Johnson and LeBreton, 2004 ; Tonidandel and LeBreton, 2011 ). Findings showed that – after controlling for differences in students‘ intelligence and their prior achievement – expectancy components (ability self-concept, self-efficacy) were the best motivational predictors of achievement followed by task values (i.e., intrinsic/enjoyment, attainment, and utility), need for achievement and learning goals ( Steinmayr and Spinath, 2009 ; Kriegbaum et al., 2015 ). However, Steinmayr and Spinath (2009) who investigated the relations in three different domains did not assess all motivational constructs on the same level of specificity as the achievement criteria. More precisely, students’ achievement as well as motivational beliefs and task values were assessed domain-specifically (e.g., math grades, math self-concept, math task values), whereas students’ goals were only measured for school in general (e.g., “In school it is important for me to learn as much as possible”) and students’ achievement motives were only measured on a domain-general level (e.g., “Difficult problems appeal to me”). Thus, the importance of goals and achievement motives for math and German grades might have been underestimated because the specificity levels of predictor and criterion variables did not match (e.g., Ajzen and Fishbein, 1977 ; Baranik et al., 2010 ). Assessing students’ goals and their achievement motives with reference to a specific subject might result in higher associations with domain-specific achievement criteria (see Sparfeldt and Rost, 2011 ).

Taken together, although previous work underlines the important roles of expectancy and value components of motivation for school students’ academic achievement, hitherto, we know little about the relative importance of expectancy components, task values, goals, and achievement motives in different domains when all of them are assessed at the same level of specificity as the achievement criteria (e.g., achievement motives in math → math grades; ability self-concept for school → GPA).

The Present Research

The goal of the present study was to examine the relative importance of several of the most important achievement motivation constructs in predicting school students’ achievement. We substantially extend previous work in this field by considering (1) diverse motivational constructs, (2) students’ intelligence and their prior achievement as achievement predictors in one sample, and (3) by assessing all predictors on the same level of specificity as the achievement criteria. Moreover, we investigated the relations in three different domains: school in general, math, and German. Because there is no study that assessed students’ goal orientations and achievement motives besides their ability self-concept and task values on the same level of specificity as the achievement criteria, we could not derive any specific hypotheses on the relative importance of these constructs, but instead investigated the following research question (RQ):

RQ. What is the relative importance of students’ domain-specific ability self-concepts, task values, goal orientations, and achievement motives for their grades in the respective domain when including all of them, students’ intelligence and prior achievement simultaneously in the analytic models?

Materials and Methods

Participants and procedure.

A sample of 345 students was recruited from two German schools attending the highest academic track (Gymnasium). Only 11th graders participated at one school, whereas 11th and 12th graders participated at the other. Students of the different grades and schools did not differ significantly on any of the assessed measures. Students represented the typical population of this type of school in Germany; that is, the majority was Caucasian and came from medium to high socioeconomic status homes. At the time of testing, students were on average 17.48 years old ( SD = 1.06). As is typical for this kind of school, the sample comprised more girls ( n = 200) than boys ( n = 145). We verify that the study is in accordance with established ethical guidelines. Approval by an ethics committee was not required as per the institution’s guidelines and applicable regulations in the federal state where the study was conducted. Participation was voluntarily and no deception took place. Before testing, we received written informed consent forms from the students and from the parents of the students who were under the age of 18 on the day of the testing. If students did not want to participate, they could spend the testing time in their teacher’s room with an extra assignment. All students agreed to participate. Testing took place during regular classes in schools in 2013. Tests were administered by trained research assistants and lasted about 2.5 h. Students filled in the achievement motivation questionnaires first, and the intelligence test was administered afterward. Before the intelligence test, there was a short break.

Ability Self-Concept

Students’ ability self-concepts were assessed with four items per domain ( Schöne et al., 2002 ). Students indicated on a 5-point scale ranging from 1 (totally disagree) to 5 (totally agree) how good they thought they were at different activities in school in general, math, and German (“I am good at school in general/math/German,” “It is easy to for me to learn in school in general/math/German,” “In school in general/math/German, I know a lot,” and “Most assignments in school/math/German are easy for me”). Internal consistency (Cronbach’s α) of the ability self-concept scale was high in school in general, in math, and in German (0.82 ≤ α ≤ 0.95; see Table 1 ).

Table 1. Means ( M ), Standard Deviations ( SD ), and Reliabilities (α) for all measures.

Task Values

Students’ task values were assessed with an established German scale (SESSW; Subjective scholastic value scale; Steinmayr and Spinath, 2010 ). The measure is an adaptation of items used by Eccles and Wigfield (1995) in different studies. It assesses intrinsic values, utility, and personal importance with three items each. Students indicated on a 5-point scale ranging from 1 (totally disagree) to 5 (totally agree) how much they valued school in general, math, and German (Intrinsic values: “I like school/math/German,” “I enjoy doing things in school/math/German,” and “I find school in general/math/German interesting”; Utility: “How useful is what you learn in school/math/German in general?,” “School/math/German will be useful in my future,” “The things I learn in school/math/German will be of use in my future life”; Personal importance: “Being good at school/math/German is important to me,” “To be good at school/math/German means a lot to me,” “Attainment in school/math/German is important to me”). Internal consistency of the values scale was high in all domains (0.90 ≤ α ≤ 0.93; see Table 1 ).

Goal Orientations

Students’ goal orientations were assessed with an established German self-report measure (SELLMO; Scales for measuring learning and achievement motivation; Spinath et al., 2002 ). In accordance with Sparfeldt et al. (2007) , we assessed goal orientations with regard to different domains: school in general, math, and German. In each domain, we used the SELLMO to assess students’ learning goals, performance-avoidance goals, and work avoidance with eight items each and their performance-approach goals with seven items. Students’ answered the items on a 5-point scale ranging from 1 (totally disagree) to 5 (totally agree). All items except for the work avoidance items are printed in Spinath and Steinmayr (2012) , p. 1148). A sample item to assess work avoidance is: “In school/math/German, it is important to me to do as little work as possible.” Internal consistency of the learning goals scale was high in all domains (0.83 ≤ α ≤ 0.88). The same was true for performance-approach goals (0.85 ≤ α ≤ 0.88), performance-avoidance goals (α = 0.89), and work avoidance (0.91 ≤ α ≤ 0.92; see Table 1 ).

Achievement Motives

Achievement motives were assessed with the Achievement Motives Scale (AMS; Gjesme and Nygard, 1970 ; Göttert and Kuhl, 1980 ). In the present study, we used a short form measuring “hope for success” and “fear of failure” with the seven items per subscale that showed the highest factor loadings. Both subscales were assessed in three domains: school in general, math, and German. Students’ answered all items on a 4-point scale ranging from 1 (does not apply at all) to 4 (fully applies). An example hope for success item is “In school/math/German, difficult problems appeal to me,” and an example fear of failure item is “In school/math/German, matters that are slightly difficult disconcert me.” Internal consistencies of hope for success and fear of failure scales were high in all domains (hope for success: 0.88 ≤ α ≤ 0.92; fear of failure: 0.90 ≤ α ≤ 0.91; see Table 1 ).

Intelligence

Intelligence was measured with the basic module of the Intelligence Structure Test 2000 R, a well-established German multifactor intelligence measure (I-S-T 2000 R; Amthauer et al., 2001 ). The basic module of the test offers assessments of domain-specific intelligence for verbal, numeric, and figural abilities as well as an overall intelligence score (a composite of the three facets). The overall intelligence score is thought to measure reasoning as a higher order factor of intelligence and can be interpreted as a measure of general intelligence, g . Its construct validity has been demonstrated in several studies ( Amthauer et al., 2001 ; Steinmayr and Amelang, 2006 ). In the present study, we used the scores that were closest to the domains we investigated: overall intelligence, numerical intelligence, and verbal intelligence (see also Steinmayr and Spinath, 2009 ). Raw values could range from 0 to 60 for verbal and numerical intelligence, and from 0 to 180 for overall intelligence. Internal consistencies of all intelligence scales were high (0.71 ≤ α ≤ 0.90; see Table 1 ).

Academic Achievement

For all students, the school delivered the report cards that the students received 3 months before testing (t0) and 4 months after testing (t2), at the end of the term in which testing took place. We assessed students’ grades in German and math as well as their overall grade point average (GPA) as criteria for school performance. GPA was computed as the mean of all available grades, not including grades in the nonacademic domains Sports and Music/Art as they did not correlate with the other grades. Grades ranged from 1 to 6, and were recoded so that higher numbers represented better performance.

Statistical Analyses

We conducted relative weight analyses to predict students’ academic achievement separately in math, German, and school in general. The relative weight analysis is a statistical procedure that enables to determine the relative importance of each predictor in a multiple regression analysis (“relative weight”) and to take adequately into account the multicollinearity of the different motivational constructs (for details, see Johnson and LeBreton, 2004 ; Tonidandel and LeBreton, 2011 ). Basically, it uses a variable transformation approach to create a new set of predictors that are orthogonal to one another (i.e., uncorrelated). Then, the criterion is regressed on these new orthogonal predictors, and the resulting standardized regression coefficients can be used because they no longer suffer from the deleterious effects of multicollinearity. These standardized regression weights are then transformed back into the metric of the original predictors. The rescaled relative weight of a predictor can easily be transformed into the percentage of variance that is uniquely explained by this predictor when dividing the relative weight of the specific predictor by the total variance explained by all predictors in the regression model ( R 2 ). We performed the relative weight analyses in three steps. In Model 1, we included the different achievement motivation variables assessed in the respective domain in the analyses. In Model 2, we entered intelligence into the analyses in addition to the achievement motivation variables. In Model 3, we included prior school performance indicated by grades measured before testing in addition to all of the motivation variables and intelligence. For all three steps, we tested for whether all relative weight factors differed significantly from each other (see Johnson, 2004 ) to determine which motivational construct was most important in predicting academic achievement (RQ).

Descriptive Statistics and Intercorrelations

Table 1 shows means, standard deviations, and reliabilities. Tables 2 –4 show the correlations between all scales in school in general, in math, and in German. Of particular relevance here, are the correlations between the motivational constructs and students’ school grades. In all three domains (i.e., school in general/math/German), out of all motivational predictor variables, students’ ability self-concepts showed the strongest associations with subsequent grades ( r = 0.53/0.61/0.46; see Tables 2 –4 ). Except for students’ performance-avoidance goals (−0.04 ≤ r ≤ 0.07, p > 0.05), the other motivational constructs were also significantly related to school grades. Most of the respective correlations were evenly dispersed around a moderate effect size of | r | = 0.30.

Table 2. Intercorrelations between all variables in school in general.

Table 3. Intercorrelations between all variables in math.

Table 4. Intercorrelations between all variables in German.

Relative Weight Analyses

Table 5 presents the results of the relative weight analyses. In Model 1 (only motivational variables) and Model 2 (motivation and intelligence), respectively, the overall explained variance was highest for math grades ( R 2 = 0.42 and R 2 = 0.42, respectively) followed by GPA ( R 2 = 0.30 and R 2 = 0.34, respectively) and grades in German ( R 2 = 0.26 and R 2 = 0.28, respectively). When prior school grades were additionally considered (Model 3) the largest amount of variance was explained in students’ GPA ( R 2 = 0.73), followed by grades in German ( R 2 = 0.59) and math ( R 2 = 0.57). In the following, we will describe the results of Model 3 for each domain in more detail.

Table 5. Relative weights and percentages of explained criterion variance (%) for all motivational constructs (Model 1) plus intelligence (Model 2) plus prior school achievement (Model 3).

Beginning with the prediction of students’ GPA: In Model 3, students’ prior GPA explained more variance in subsequent GPA than all other predictor variables (68%). Students’ ability self-concept explained significantly less variance than prior GPA but still more than all other predictors that we considered (14%). The relative weights of students’ intelligence (5%), task values (2%), hope for success (4%), and fear of failure (3%) did not differ significantly from each other but were still significantly different from zero ( p < 0.05). The relative weights of students’ goal orientations were not significant in Model 3.

Turning to math grades: The findings of the relative weight analyses for the prediction of math grades differed slightly from the prediction of GPA. In Model 3, the relative weights of numerical intelligence (2%) and performance-approach goals (2%) in math were no longer different from zero ( p > 0.05); in Model 2 they were. Prior math grades explained the largest share of the unique variance in subsequent math grades (45%), followed by math self-concept (19%). The relative weights of students’ math task values (9%), learning goals (5%), work avoidance (7%), and hope for success (6%) did not differ significantly from each other. Students’ fear of failure in math explained the smallest amount of unique variance in their math grades (4%) but the relative weight of students’ fear of failure did not differ significantly from that of students’ hope for success, work avoidance, and learning goals. The relative weights of students’ performance-avoidance goals were not significant in Model 3.

Turning to German grades: In Model 3, students’ prior grade in German was the strongest predictor (64%), followed by German self-concept (10%). Students’ fear of failure in German (6%), their verbal intelligence (4%), task values (4%), learning goals (4%), and hope for success (4%) explained less variance in German grades and did not differ significantly from each other but were significantly different from zero ( p < 0.05). The relative weights of students’ performance goals and work avoidance were not significant in Model 3.

In the present studies, we aimed to investigate the relative importance of several achievement motivation constructs in predicting students’ academic achievement. We sought to overcome the limitations of previous research in this field by (1) considering several theoretically and empirically distinct motivational constructs, (2) students’ intelligence, and their prior achievement, and (3) by assessing all predictors at the same level of specificity as the achievement criteria. We applied sophisticated statistical procedures to investigate the relations in three different domains, namely school in general, math, and German.

Relative Importance of Achievement Motivation Constructs for Academic Achievement

Out of the motivational predictor variables, students’ ability self-concepts explained the largest amount of variance in their academic achievement across all sets of analyses and across all investigated domains. Even when intelligence and prior grades were controlled for, students’ ability self-concepts accounted for at least 10% of the variance in the criterion. The relative superiority of ability self-perceptions is in line with the available literature on this topic (e.g., Steinmayr and Spinath, 2009 ; Kriegbaum et al., 2015 ; Steinmayr et al., 2018 ) and with numerous studies that have investigated the relations between students’ self-concept and their achievement (e.g., Möller et al., 2009 ; Huang, 2011 ). Ability self-concepts showed even higher relative weights than the corresponding intelligence scores. Whereas some previous studies have suggested that self-concepts and intelligence are at least equally important when predicting students’ grades (e.g., Steinmayr and Spinath, 2009 ; Weber et al., 2013 ; Schneider et al., 2018 ), our findings indicate that it might be even more important to believe in own school-related abilities than to possess outstanding cognitive capacities to achieve good grades (see also Lotz et al., 2018 ). Such a conclusion was supported by the fact that we examined the relative importance of all predictor variables across three domains and at the same levels of specificity, thus maximizing criterion-related validity (see Baranik et al., 2010 ). This procedure represents a particular strength of our study and sets it apart from previous studies in the field (e.g., Steinmayr and Spinath, 2009 ). Alternatively, our findings could be attributed to the sample we investigated at least to some degree. The students examined in the present study were selected for the academic track in Germany, and this makes them rather homogeneous in their cognitive abilities. It is therefore plausible to assume that the restricted variance in intelligence scores decreased the respective criterion validities.

When all variables were assessed at the same level of specificity, the achievement motives hope for success and fear of failure were the second and third best motivational predictors of academic achievement and more important than in the study by Steinmayr and Spinath (2009) . This result underlines the original conceptualization of achievement motives as broad personal tendencies that energize approach or avoidance behavior across different contexts and situations ( Elliot, 2006 ). However, the explanatory power of achievement motives was higher in the more specific domains of math and German, thereby also supporting the suggestion made by Sparfeldt and Rost (2011) to conceptualize achievement motives more domain-specifically. Conceptually, achievement motives and ability self-concepts are closely related. Individuals who believe in their ability to succeed often show greater hope for success than fear of failure and vice versa ( Brunstein and Heckhausen, 2008 ). It is thus not surprising that the two constructs showed similar stability in their relative effects on academic achievement across the three investigated domains. Concerning the specific mechanisms through which students’ achievement motives and ability self-concepts affect their achievement, it seems that they elicit positive or negative valences in students, and these valences in turn serve as simple but meaningful triggers of (un)successful school-related behavior. The large and consistent effects for students’ ability self-concept and their hope for success in our study support recommendations from positive psychology that individuals think positively about the future and regularly provide affirmation to themselves by reminding themselves of their positive attributes ( Seligman and Csikszentmihalyi, 2000 ). Future studies could investigate mediation processes. Theoretically, it would make sense that achievement motives defined as broad personal tendencies affect academic achievement via expectancy beliefs like ability self-concepts (e.g., expectancy-value theory by Eccles and Wigfield, 2002 ; see also, Atkinson, 1957 ).

Although task values and learning goals did not contribute much toward explaining the variance in GPA, these two constructs became even more important for explaining variance in math and German grades. As Elliot (2006) pointed out in his hierarchical model of approach-avoidance motivation, achievement motives serve as basic motivational principles that energize behavior. However, they do not guide the precise direction of the energized behavior. Instead, goals and task values are commonly recruited to strategically guide this basic motivation toward concrete aims that address the underlying desire or concern. Our results are consistent with Elliot’s (2006) suggestions. Whereas basic achievement motives are equally important at abstract and specific achievement levels, task values and learning goals release their full explanatory power with increasing context-specificity as they affect students’ concrete actions in a given school subject. At this level of abstraction, task values and learning goals compete with more extrinsic forms of motivation, such as performance goals. Contrary to several studies in achievement-goal research, we did not demonstrate the importance of either performance-approach or performance-avoidance goals for academic achievement.

Whereas students’ ability self-concept showed a high relative importance above and beyond intelligence, with few exceptions, each of the remaining motivation constructs explained less than 5% of the variance in students’ academic achievement in the full model including intelligence measures. One might argue that the high relative importance of students’ ability self-concept is not surprising because students’ ability self-concepts more strongly depend on prior grades than the other motivation constructs. Prior grades represent performance feedback and enable achievement comparisons that are seen as the main determinants of students’ ability self-concepts (see Skaalvik and Skaalvik, 2002 ). However, we included students’ prior grades in the analyses and students’ ability self-concepts still were the most powerful predictors of academic achievement out of the achievement motivation constructs that were considered. It is thus reasonable to conclude that the high relative importance of students’ subjective beliefs about their abilities is not only due to the overlap of this believes with prior achievement.

Limitations and Suggestions for Further Research

Our study confirms and extends the extant work on the power of students’ ability self-concept net of other important motivation variables even when important methodological aspects are considered. Strength of the study is the simultaneous investigation of different achievement motivation constructs in different academic domains. Nevertheless, we restricted the range of motivation constructs to ability self-concepts, task values, goal orientations, and achievement motives. It might be interesting to replicate the findings with other motivation constructs such as academic self-efficacy ( Pajares, 2003 ), individual interest ( Renninger and Hidi, 2011 ), or autonomous versus controlled forms of motivation ( Ryan and Deci, 2000 ). However, these constructs are conceptually and/or empirically very closely related to the motivation constructs we considered (e.g., Eccles and Wigfield, 1995 ; Marsh et al., 2018 ). Thus, it might well be the case that we would find very similar results for self-efficacy instead of ability self-concept as one example.

A second limitation is that we only focused on linear relations between motivation and achievement using a variable-centered approach. Studies that considered different motivation constructs and used person-centered approaches revealed that motivation factors interact with each other and that there are different profiles of motivation that are differently related to students’ achievement (e.g., Conley, 2012 ; Schwinger et al., 2016 ). An important avenue for future studies on students’ motivation is to further investigate these interactions in different academic domains.

Another limitation that might suggest a potential avenue for future research is the fact that we used only grades as an indicator of academic achievement. Although, grades are of high practical relevance for the students, they do not necessarily indicate how much students have learned, how much they know and how creative they are in the respective domain (e.g., Walton and Spencer, 2009 ). Moreover, there is empirical evidence that the prediction of academic achievement differs according to the particular criterion that is chosen (e.g., Lotz et al., 2018 ). Using standardized test performance instead of grades might lead to different results.

Our study is also limited to 11th and 12th graders attending the highest academic track in Germany. More balanced samples are needed to generalize the findings. A recent study ( Ben-Eliyahu, 2019 ) that investigated the relations between different motivational constructs (i.e., goal orientations, expectancies, and task values) and self-regulated learning in university students revealed higher relations for gifted students than for typical students. This finding indicates that relations between different aspects of motivation might differ between academically selected samples and unselected samples.

Finally, despite the advantages of relative weight analyses, this procedure also has some shortcomings. Most important, it is based on manifest variables. Thus, differences in criterion validity might be due in part to differences in measurement error. However, we are not aware of a latent procedure that is comparable to relative weight analyses. It might be one goal for methodological research to overcome this shortcoming.

We conducted the present research to identify how different aspects of students’ motivation uniquely contribute to differences in students’ achievement. Our study demonstrated the relative importance of students’ ability self-concepts, their task values, learning goals, and achievement motives for students’ grades in different academic subjects above and beyond intelligence and prior achievement. Findings thus broaden our knowledge on the role of students’ motivation for academic achievement. Students’ ability self-concept turned out to be the most important motivational predictor of students’ grades above and beyond differences in their intelligence and prior grades, even when all predictors were assessed domain-specifically. Out of two students with similar intelligence scores, same prior achievement, and similar task values, goals and achievement motives in a domain, the student with a higher domain-specific ability self-concept will receive better school grades in the respective domain. Therefore, there is strong evidence that believing in own competencies is advantageous with respect to academic achievement. This finding shows once again that it is a promising approach to implement validated interventions aiming at enhancing students’ domain-specific ability-beliefs in school (see also Muenks et al., 2017 ; Steinmayr et al., 2018 ).

Data Availability

The datasets generated for this study are available on request to the corresponding author.

Ethics Statement

In Germany, institutional approval was not required by default at the time the study was conducted. That is, why we cannot provide a formal approval by the institutional ethics committee. We verify that the study is in accordance with established ethical guidelines. Participation was voluntarily and no deception took place. Before testing, we received informed consent forms from the parents of the students who were under the age of 18 on the day of the testing. If students did not want to participate, they could spend the testing time in their teacher’s room with an extra assignment. All students agreed to participate. We included this information also in the manuscript.

Author Contributions

RS conceived and supervised the study, curated the data, performed the formal analysis, investigated the results, developed the methodology, administered the project, and wrote, reviewed, and edited the manuscript. AW wrote, reviewed, and edited the manuscript. MS performed the formal analysis, and wrote, reviewed, and edited the manuscript. BS conceived the study, and wrote, reviewed, and edited the manuscript.

We acknowledge financial support by Deutsche Forschungsgemeinschaft and Technische Universität Dortmund/TU Dortmund University within the funding programme Open Access Publishing.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Ajzen, I., and Fishbein, M. (1977). Attitude–behavior relations: a theoretical analysis and review of empirical research. Psychol. Bull. 84, 888–918. doi: 10.1037/0033-2909.84.5.888

CrossRef Full Text | Google Scholar

Amthauer, R., Brocke, B., Liepmann, D., and Beauducel, A. (2001). Intelligenz-Struktur-Test 2000 R [Intelligence-Structure-Test 2000 R] . Göttingen: Hogrefe.

Google Scholar

Atkinson, J. W. (1957). Motivational determinants of risk-taking behavior. Psychol. Rev. 64, 359–372. doi: 10.1037/h0043445

Baranik, L. E., Barron, K. E., and Finney, S. J. (2010). Examining specific versus general measures of achievement goals. Hum. Perform. 23, 155–172. doi: 10.1080/08959281003622180

Ben-Eliyahu, A. (2019). A situated perspective on self-regulated learning from a person-by-context perspective. High Ability Studies . doi: 10.1080/13598139.2019.1568828

Brunstein, J. C., and Heckhausen, H. (2008). Achievement motivation. in Motivation and Action eds J. Heckhausen and H. Heckhausen. Cambridge: Cambridge University Press, 137–183.

Conley, A. M. (2012). Patterns of motivation beliefs: combining achievement goal and expectancy-value perspectives. J. Educ. Psychol. 104, 32–47. doi: 10.1037/a0026042

Dweck, C. S., and Leggett, E. L. (1988). A social-cognitive approach to motivation and personality. Psychol. Rev. 95, 256–273. doi: 10.1037/0033-295X.95.2.256

Eccles, J. S., Adler, T. F., Futterman, R., Goff, S. B., and Kaczala, C. M., and Meece, J. L. (1983). Expectancies, values, and academic behaviors. in Achievement and Achievement Motivation ed J. T. Spence. San Francisco, CA: Freeman, 75–146

Eccles, J. S., and Wigfield, A. (1995). In the mind of the actor: the structure of adolescents’ achievement task values and expectancy-related beliefs. Pers. Soc. Psychol. Bull. 21, 215–225. doi: 10.1177/0146167295213003

Eccles, J. S., and Wigfield, A. (2002). Motivational beliefs, values, and goals. Annu. Rev. Psychol. 53, 109–132. doi: 10.1146/annurev.psych.53.100901.135153

Eccles, J. S., Wigfield, A., Harold, R. D., and Blumenfeld, P. (1993). Age and gender differences in children’s self- and task perceptions during elementary school. Child Dev. 64, 830–847. doi: 10.2307/1131221

Elliot, A. J. (2006). The hierarchical model of approach-avoidance motivation. Motiv. Emot. 30, 111–116. doi: 10.1007/s11031-006-9028-7

Elliot, A. J., and Church, M. A. (1997). A hierarchical model of approach and avoidance achievement motivation. J. Pers. Soc. Psychol. 72, 218–232. doi: 10.1037/0022-3514.72.1.218

Elliot, A. J., and McGregor, H. A. (2001). A 2 x 2 achievement goal framework. J. Pers. Soc. Psychol. 80, 501–519. doi: 10.1037//0022-3514.80.3.501

Gjesme, T., and Nygard, R. (1970). Achievement-Related Motives: Theoretical Considerations and Construction of a Measuring Instrument . Olso: University of Oslo.

Göttert, R., and Kuhl, J. (1980). AMS — achievement motives scale von gjesme und nygard - deutsche fassung [AMS — German version]. in Motivationsförderung im Schulalltag [Enhancement of Motivation in the School Context] eds F. Rheinberg, and S. Krug, Göttingen: Hogrefe, 194–200

Hailikari, T., Nevgi, A., and Komulainen, E. (2007). Academic self-beliefs and prior knowledge as predictors of student achievement in mathematics: a structural model. Educ. Psychol. 28, 59–71. doi: 10.1080/01443410701413753

Harackiewicz, J. M., Barron, K. E., Carter, S. M., Lehto, A. T., and Elliot, A. J. (1997). Predictors and consequences of achievement goals in the college classroom: maintaining interest and making the grade. J. Pers. Soc. Psychol. 73, 1284–1295. doi: 10.1037//0022-3514.73.6.1284

Hattie, J. A. C. (2009). Visible Learning: A Synthesis of 800+ Meta-Analyses on Achievement . Oxford: Routledge.

Huang, C. (2011). Self-concept and academic achievement: a meta-analysis of longitudinal relations. J. School Psychol. 49, 505–528. doi: 10.1016/j.jsp.2011.07.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Hulleman, C. S., Schrager, S. M., Bodmann, S. M., and Harackiewicz, J. M. (2010). A meta-analytic review of achievement goal measures: different labels for the same constructs or different constructs with similar labels? Psychol. Bull. 136, 422–449. doi: 10.1037/a0018947

Johnson, J. W. (2004). Factors affecting relative weights: the influence of sampling and measurement error. Organ. Res. Methods 7, 283–299. doi: 10.1177/1094428104266018

Johnson, J. W., and LeBreton, J. M. (2004). History and use of relative importance indices in organizational research. Organ. Res. Methods 7, 238–257. doi: 10.1177/1094428104266510

Kriegbaum, K., Jansen, M., and Spinath, B. (2015). Motivation: a predictor of PISA’s mathematical competence beyond intelligence and prior test achievement. Learn. Individ. Differ. 43, 140–148. doi: 10.1016/j.lindif.2015.08.026

Kumar, S., and Jagacinski, C. M. (2011). Confronting task difficulty in ego involvement: change in performance goals. J. Educ. Psychol. 103, 664–682. doi: 10.1037/a0023336

Kuncel, N. R., Hezlett, S. A., and Ones, D. S. (2004). Academic performance, career potential, creativity, and job performance: can one construct predict them all? J. Person. Soc. Psychol. 86, 148–161. doi: 10.1037/0022-3514.86.1.148

Linnenbrink-Garcia, L., Wormington, S. V., Snyder, K. E., Riggsbee, J., Perez, T., Ben-Eliyahu, A., et al. (2018). Multiple pathways to success: an examination of integrative motivational profiles among upper elementary and college students. J. Educ. Psychol. 110, 1026–1048 doi: 10.1037/edu0000245

Lotz, C., Schneider, R., and Sparfeldt, J. R. (2018). Differential relevance of intelligence and motivation for grades and competence tests in mathematics. Learn. Individ. Differ. 65, 30–40. doi: 10.1016/j.lindif.2018.03.005

Marsh, H. W. (1990). Causal ordering of academic self-concept and academic achievement: a multiwave, longitudinal panel analysis. J. Educ. Psychol. 82, 646–656. doi: 10.1037/0022-0663.82.4.646

Marsh, H. W., Pekrun, R., Parker, P. D., Murayama, K., Guo, J., Dicke, T., et al. (2018). The murky distinction between self-concept and self-efficacy: beware of lurking jingle-jangle fallacies. J. Educ. Psychol. 111, 331–353. doi: 10.1037/edu0000281

Marsh, H. W., Trautwein, U., Lüdtke, O., Köller, O., and Baumert, J. (2005). Academic self-concept, interest, grades and standardized test scores: reciprocal effects models of causal ordering. Child Dev. 76, 397–416. doi: 10.1111/j.1467-8624.2005.00853.x

McClelland, D. C., Atkinson, J., Clark, R., and Lowell, E. (1953). The Achievement Motive . New York, NY: Appleton-Century-Crofts.

Middleton, M. J., and Midgley, C. (1997). Avoiding the demonstration of lack of ability: an underexplored aspect of goal theory. Journal J. Educ. Psychol. 89, 710–718. doi: 10.1037/0022-0663.89.4.710

Möller, J., Pohlmann, B., Köller, O., and Marsh, H. W. (2009). A meta-analytic path analysis of the internal/external frame of reference model of academic achievement and academic self-concept. Rev. Educ. Res. 79, 1129–1167. doi: 10.3102/0034654309337522

Muenks, K., Wigfield, A., Yang, J. S., and O’Neal, C. (2017). How true is grit? Assessing its relations to high school and college students’ personality characteristics, self-regulation, engagement, and achievement. J. Educ. Psychol. 109, 599–620. doi: 10.1037/edu0000153.

Muenks, K., Yang, J. S., and Wigfield, A. (2018). Associations between grit, motivation, and achievement in high school students. Motiv. Sci. 4, 158–176. doi: 10.1037/mot0000076

Murphy, P. K., and Alexander, P. A. (2000). A motivated exploration of motivation terminology. Contemp. Educ. Psychol. 25, 3–53. doi: 10.1006/ceps.1999

Nicholls, J. G. (1984). Achievement motivation: conceptions of ability, subjective experience, task choice, and performance. Psychol. Rev. 91, 328–346. doi: 10.1037/0033-295X.91.3.328

Pajares, F. (2003). Self-efficacy beliefs, motivation, and achievement in writing: a review of the literature. Read. Writ. Q. 19, 139–158. doi: 10.1080/10573560308222

Pintrich, P. R., Marx, R. W., and Boyle, R. A. (1993). Beyond cold conceptual change: the role of motivational beliefs and classroom contextual factors in the process of conceptual change. Rev. Educ. Res. 63, 167–199. doi: 10.3102/00346543063002167

Plante, I., O’Keefe, P. A., and Théorêt, M. (2013). The relation between achievement goal and expectancy-value theories in predicting achievement-related outcomes: a test of four theoretical conceptions. Motiv. Emot. 37, 65–78. doi: 10.1007/s11031-012-9282-9

Renninger, K. A., and Hidi, S. (2011). Revisiting the conceptualization, measurement, and generation of interest. Educ. Psychol. 46, 168–184. doi: 10.1080/00461520.2011.587723

Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., and Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? a meta-analysis. Psychol. Bull. 130, 261–288. doi: 10.1037/0033-2909.130.2.261

Ryan, R. M., and Deci, E. L. (2000). Intrinsic and extrinsic motivations: classic definitions and new directions. Contemp. Educ. Psychol. 25, 54–67. doi: 10.1006/ceps.1999.1020

Schneider, R., Lotz, C., and Sparfeldt, J. R. (2018). Smart, confident, and interested: contributions of intelligence, self-concepts, and interest to elementary school achievement. Learn. Individ. Differ. 62, 23–35. doi: 10.1016/j.lindif.2018.01.003

Schöne, C., Dickhäuser, O., Spinath, B., and Stiensmeier-Pelster, J. (2002). Die Skalen zur Erfassung des schulischen Selbstkonzepts (SESSKO) [Scales for Measuring the Academic Ability Self-Concept] . Göttingen: Hogrefe.

Schwinger, M., Steinmayr, R., and Spinath, B. (2016). Achievement goal profiles in elementary school: antecedents, consequences, and longitudinal trajectories. Contemp. Educ. Psychol. 46, 164–179. doi: 10.1016/j.cedpsych.2016.05.006

Seligman, M. E., and Csikszentmihalyi, M. (2000). Positive psychology: an introduction. Am. Psychol. 55, 5–14. doi: 10.1037/0003-066X.55.1.5

Skaalvik, E. M., and Skaalvik, S. (2002). Internal and external frames of reference for academic self-concept. Educ. Psychol. 37, 233–244. doi: 10.1207/S15326985EP3704_3

Sparfeldt, J. R., Buch, S. R., Wirthwein, L., and Rost, D. H. (2007). Zielorientierungen: Zur Relevanz der Schulfächer. [Goal orientations: the relevance of specific goal orientations as well as specific school subjects]. Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie , 39, 165–176. doi: 10.1026/0049-8637.39.4.165

Sparfeldt, J. R., and Rost, D. H. (2011). Content-specific achievement motives. Person. Individ. Differ. 50, 496–501. doi: 10.1016/j.paid.2010.11.016

Spinath, B., Spinath, F. M., Harlaar, N., and Plomin, R. (2006). Predicting school achievement from general cognitive ability, self-perceived ability, and intrinsic value. Intelligence 34, 363–374. doi: 10.1016/j.intell.2005.11.004

Spinath, B., and Steinmayr, R. (2012). The roles of competence beliefs and goal orientations for change in intrinsic motivation. J. Educ. Psychol. 104, 1135–1148. doi: 10.1037/a0028115

Spinath, B., Stiensmeier-Pelster, J., Schöne, C., and Dickhäuser, O. (2002). Die Skalen zur Erfassung von Lern- und Leistungsmotivation (SELLMO)[Measurement scales for learning and performance motivation] . Göttingen: Hogrefe.

Steinmayr, R., and Amelang, M. (2006). First results regarding the criterion validity of the I-S-T 2000 R concerning adults of both sex. Diagnostica 52, 181–188.

Steinmayr, R., and Spinath, B. (2009). The importance of motivation as a predictor of school achievement. Learn. Individ. Differ. 19, 80–90. doi: 10.1016/j.lindif.2008.05.004

Steinmayr, R., and Spinath, B. (2010). Konstruktion und Validierung einer Skala zur Erfassung subjektiver schulischer Werte (SESSW) [construction and validation of a scale for the assessment of school-related values]. Diagnostica 56, 195–211. doi: 10.1026/0012-1924/a000023

Steinmayr, R., Weidinger, A. F., and Wigfield, A. (2018). Does students’ grit predict their school achievement above and beyond their personality, motivation, and engagement? Contemp. Educ. Psychol. 53, 106–122. doi: 10.1016/j.cedpsych.2018.02.004

Tonidandel, S., and LeBreton, J. M. (2011). Relative importance analysis: a useful supplement to regression analysis. J. Bus. Psychol. 26, 1–9. doi: 10.1007/s10869-010-9204-3

Walton, G. M., and Spencer, S. J. (2009). Latent ability grades and test scores systematically underestimate the intellectual ability of negatively stereotyped students. Psychol. Sci. 20, 1132–1139. doi: 10.1111/j.1467-9280.2009.02417.x

Weber, H. S., Lu, L., Shi, J., and Spinath, F. M. (2013). The roles of cognitive and motivational predictors in explaining school achievement in elementary school. Learn. Individ. Differ. 25, 85–92. doi: 10.1016/j.lindif.2013.03.008

Weiner, B. (1992). Human Motivation: Metaphors, Theories, and Research . Newbury Park, CA: Sage Publications.

Wigfield, A., and Cambria, J. (2010). Students’ achievement values, goal orientations, and interest: definitions, development, and relations to achievement outcomes. Dev. Rev. 30, 1–35. doi: 10.1016/j.dr.2009.12.001

Wigfield, A., Eccles, J. S., Yoon, K. S., Harold, R. D., Arbreton, A., Freedman-Doan, C., et al. (1997). Changes in children’s competence beliefs and subjective task values across the elementary school years: a three-year study. J. Educ. Psychol. 89, 451–469. doi: 10.1037/0022-0663.89.3.451

Wigfield, A., Tonks, S., and Klauda, S. L. (2016). “Expectancy-value theory,” in Handbook of Motivation in School , 2nd Edn. eds K. R. Wentzel and D. B. Mielecpesnm (New York, NY: Routledge), 55–74.

Keywords : academic achievement, ability self-concept, task values, goals, achievement motives, intelligence, relative weight analysis

Citation: Steinmayr R, Weidinger AF, Schwinger M and Spinath B (2019) The Importance of Students’ Motivation for Their Academic Achievement – Replicating and Extending Previous Findings. Front. Psychol. 10:1730. doi: 10.3389/fpsyg.2019.01730

Received: 05 April 2019; Accepted: 11 July 2019; Published: 31 July 2019.

Reviewed by:

Copyright © 2019 Steinmayr, Weidinger, Schwinger and Spinath. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ricarda Steinmayr, [email protected]

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Maintaining Students’ Motivation for Learning as the Year Goes On

Neuroscience can suggest ways to keep students working toward their learning goals after their initial excitement wears off.

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It’s likely that your hard work orchestrating the first weeks of school enhanced your students’ connection to the school community and their enthusiasm for the learning to come. However, as the semester goes on and you seek to sustain that motivated momentum, you may not be able to find the same amount of prep time that you dedicated to the start of the year.

Yet even when your students’ bubbles of excitement fade, you can reboot their connections, engagement, and motivation with the help of insights from neuroscience research .

The Neuroscience of Motivation

Motivation is a desire to learn, try, work, and persevere. I’m a neurologist and former teacher, and one of my focus areas is the neuroscience of learning—especially motivated and successful learning. Students’ levels of intrinsic motivation—the inherent satisfaction of the activity itself, rather than an outside reward—directly correspond with increased effort and with seeing the effectiveness of their behavior, choices, focus, and performance.

Intrinsic motivation is promoted by dopamine, a brain chemical that gives us a rush of satisfaction upon achieving a goal we’ve chosen. When dopamine levels rise, so does one’s sense of satisfaction and desire to continue to sustain attention and effort. Increased dopamine can  also improve other mental processes, including memory, attention, perseverance, and creative problem-solving.

The Value of Choice

Dopamine release is promoted by meeting desired challenges, interacting with peers, movement, humor, and listening to music, among other things. Knowing what boosts students’ dopamine levels can help you in your quest to maintain or reboot their motivation. One dopamine booster that I’ve found especially effective is choice, which appears to increase students’ levels of intrinsic motivation , supporting their sustained effort and persistence in academic tasks.

Choice shifts responsibility for their learning to students and builds their judgment and decision-making. Some students may feel anxious about having too much freedom, fearing they won’t do the right thing. By starting with small choices first, you can help your learners develop skills of evaluating, selecting, and following through with good choices. As you offer more opportunities for choice and expand students’ boundaries as self-directed learners, you’ll see further increases in their confidence and motivated effort toward their chosen goals.

Some Classroom Examples

Here are some ways to provide choice to invigorate students’ motivation, engagement, and effort in their learning beyond the first weeks.

World languages: As students learn vocabulary in the target language, you can offer them choices regarding how they build mastery and self-assess their progress. Curiosity and personal relevance for this type of task can start with your showing a short humorous video in the target language. Look for clips that show positive emotions, laughter, and people and places to which your learners will relate. Their goal is to explain—in a manner of their choosing—why they think the clip is funny. You may allow them to use dictionaries, provide guidance to the appropriate textbook material, or have them work in flexible groups with you or peers.

You can give them guided choice in demonstrating their achievement: Allow them to write or speak about the humor they found, to draw a cartoon strip reflecting something in the video, or to make their own videos on the humorous topic emphasized in the video.

Language arts: To motivate students to learn the essentials of punctuation, have them choose a book they love, which will become a punctuation learning tool.

Ask students to choose a favorite section of their chosen text and have them copy it without the punctuation. You then make anonymous copies of these unpunctuated documents and place them in boxes labeled with the level of challenge (as you determine it). You can add information about the topic to guide the new “punctuators” to select a topic of interest. You can also allow them a choice in the level of challenge—they can progress at their own comfort level through increasing levels of challenge.

The students’ job is to make the chosen text understandable by adding punctuation. You should note that the original author’s punctuation choices are not the only valid ones, and when students make different choices the class can discuss those differences. Your students will get feedback that they’re building mastery as they use punctuation to make sense of increasingly challenging texts.

After you’ve done this once, you’ll have samples of student work you can share in subsequent years—ideally examples showing a progression from a text with no punctuation to one with incorrect or incomplete punctuation, and then on to a readable text with appropriate punctuation.

Math: Metric system boring? Let students choose something that interests them, such as recipes they want to make or sporting statistics, and have them convert the standard values involved into metric measurements.

Look to help learners recognize the pleasurable emotional experiences that occur through their learning and sustained effort. Remind them of these experiences—you may want to show students photographs of themselves smiling during such experiences—when they need a boost of motivated enthusiasm and effort for subsequent goals.

Motivation has a major impact on students’ effort, academic success, and joy of learning. Providing choices for your learners to engage with new learning and to progress through achievable challenges, with feedback on their progress toward their chosen goals, will make a difference in sustaining their motivated effort throughout the school year ahead.

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How Motivation and Dedication Helped Me to Find My Goal in Life

When you have motivation, it helps you build determination to achieve your goals and do things that exceeds your limits. It is hard to strive for success and happiness when there is no motivation in the air. You need it to keep you from failing...

How to Succed in College and Avoid Dropping Out

College success can be defined in several ways depending on a student’s goals and why they enrolled in the first place. Some students focus on completing the next class task or assignment and overlook the overall effect that education plays in their future life. Which...

• Success in Education

Finding the Motivation to Focus on One Objective

We should all figure out how to focus on the extremely significant errands that will have the best effect on accomplishing our satisfaction and objectives throughout everyday life. We just can't stand to invest important energy to randomly experience life doing the simple things that...

Selfishness as an Integral Part of Human Nature

“It is truth universally acknowledged that humans are selfish and self – centered. Selfishness is not a characteristic only a bad person has, but is part of our human nature. Despite most human being’s perspectives, “selfishness is the driving force behind everything we do.”(Richard) We...

• Personal Qualities
• Selfishness

Who Moved My Cheese: Overcoming the Obstacles

The author of Who Moved My Cheese is Spencer Johnson. He was not only a writer but a physician too. He graduated from Notre Dame High School and then got a Bachelor of Arts degree in phycology from the University of Southern California. He then...

• Overcoming Obstacles
• Who Moved My Cheese

Child Development Theories: The Narratives and Application

Introduction Theories on child development centre around understanding how children change and develop through the span of youth. Theories of development provide a framework for thinking about human growth and learning (Cherry, K. 2019). Such theories focus on different parts of development which include social,...

• Maslow's Hierarchy of Needs

The Maslow's Hierarchy of Needs as the Motivational System of Achievements

The Maslow's hierarchy of needs is one of the best-known theories of motivation. According to humanist psychologist Abraham Maslow, our actions are motivated in order to achieve certain needs. Abstract: Maslow believed that each individual has a hierarchy of needs, consisting of physiological, safety, social,...

The Loss of Motivation in Professional Chess

It is very unfortunate that players go from the pristine state of 'What can I learn?' to 'How can I improve my rating?'. And when it comes to kids, parents (and I am a parent of a chess player) are guilty of that shift in...

High Motivation and Obstacles to the Peak Performance 

Overybody loves peak performance and it is their desire to achieve it, however, many people are forced to quit due to the numerous obstacles associated with peak performance. As we already know that it is not easy to achieve peak performance, there are many obstacles...

Health Coaching: Motivating Lifestyle Change

As life becomes more fast paced and cutthroat with each passing second, chronic illnesses such as stress, hypotension and chronic pain become more common. What’s most unfortunate about such illnesses is that they do not have a solid cure, as they arise due to a...

• Healthy Lifestyle

Nelson Mandela as the Source of Motivation for Young Activists

Providence College has been granted $250,000 to construct a statue on campus that commemorates heroism. The statue will help as a reminder to educate students and future generations qualities like independence, courage integrity, and resourcefulness. This is why Nelson Mandela should be memorialized, he embodies...

• Nelson Mandela

The Social Network: Motivation of Facebook's Founder

Introduction: The Social Network narrates the story of Mark Zuckerberg, a young computer engineer attending Harvard University. After breaking up with his girlfriend Zuckerberg decides to create a site to rank the young appeal of Harvard co-eds. He uses his exemplary computer knowledge to download...

• The Social Network

How Motivation Helps Overcome Academic Challenges

According to Usher and Morris (2012), the cognitive process is a process to acquire information and knowledge which are added to the previous beliefs and thoughts. The development of cognitive processes is mostly depending on how the support it receives from the surrounding environment. They...

• Academic Challenges

Motivational Drive of the Nestle Employees

To enhance their corporate image and also to ensure that employees are involved in activities intended to improve and promote good quality of life, many employees in the region have been engaged in various activities aimed at giving back to the community. Since 2011, they...

Hierarchical Control: Link to Productivity and Motivation of Workers

To put it plainly, hierarchical control is the procedure of consistently dispensing, assessing, and managing assets to accomplish authoritative objectives. To effectively control an association, administrators must realize what execution criteria are, yet in addition discover how to impart that data to representatives. Control is...

Brainology: Transforming Students' Motivation to Learn

Life is a learning process, and every day, we encounter situations that will force us to learn. Some ways can help us to learn better, but they come with a lot of challenges. The need to succeed is one of the pressure students face in...

Research Report on Motivations of Serial Killers

Abstract The study investigated the contributing factors of why people become serial killers. The study methodology involved twenty case studies of killings that took place in the United States. The case studies were limited to 1960s up to date. The case studies were screened for...

• Serial Killer

Swimming as a Tool to Develop Motivation in Young Children

In the last decade, much of the research produced around physical education suggests that teacher behaviour in the learning environment and the type of instructional approaches they use, significantly affect the degree that students learn (VanTassel-Baska, J. 2012). Numerous different teaching styles have been proposed...

• Childhood Development

Mahatma Gandhi, Motivation to Continue for Millions in India

Mohandas Karamchand Gandhi has been an ideological, political, and profound pioneer of India. He was conceived in 1869 in Porbandar, India, yet a Hindu fanatic killed in 1948. He considered law in London and came back to India to rehearse his investigations a while later....

• Mahatma Gandhi

Medicine – The Perfect Industry For Me

I was inspired to study Medicine the moment I witnessed a dural splitting craniocervical decompression procedure. I undertook work experience at the Leeds General Infirmary within the Paediatric Intensive Care Unit. During work experience, I observed different surgeries, from Paediatric Neurosurgery to Cancer Surgery on...

• About Myself
• Career Goals

My Career Plans In The Childcare Area

In the last 2 years I have realise that I really want to work with children and young people because everyday is different and full of unknown. I am a person that it is always willing to learn something new and try new things to...

My Enthusiasm And Dedication To Study Mathematics

Transire suum pectus mundoque potiri, there is no other sentence that could better describe the purpose of maths and its austere beauty. I’d like to study mathematics to educate the eye and the ear of the mind, to be able to see or hear its...

My Fascination With Economics Studies

I believe we can have a better world. But to improve it I must understand it. This course will help me do that. Shadowing a QC Judge allowed me to observe the impact of judicial institutions on society, see how the judge came to conclusions...

My Interest In Clinical Psychology As A Future Career

Psychology changes lives. It can be the catalyst to change a mindset, to solve a problem and to create a therapy. It can give you the tools to better yourself in ways you thought you couldn't and creates a sense of hope that you can...

Physiotherapy – The Best Career Option For Me

Being an advocate of good health and fitness, physiotherapy excites me as a career option. For me life is at its best when u can make a difference to somebody else life and being a physiotherapist can give me this opportunity, Physiotherapy helps those who...

The Reasons I Choose To Study Natural Sciences At University

Science is fundamentally important to me, it represents progression in time; the more we research and experiment themore we are able to understand the world we live in. I love science because it attempts to explain every single action that ispossible in ways which can...

The Reasons I Choose To Study Philosophy, Politics And Economics (PPE) Course

In July 2018 I interned at the Elysee in President Macron’s speechwriting office, witnessing the meticulous research and data analysis over different disciplines required to craft a major policy speech. It illustrated how addressing complex societal problems requires broad interdisciplinary knowledge. Looking forwards, combining philosophy’s...

The Reasons I Deserve An Opportunity To Join CRS’ Fellows Program

My experiences and vocation as a pharmacist make me the ideal candidate for the CRS’ Fellows Program. Your organization is known to help the poor and vulnerable overcome emergencies and access affordable healthcare. I know that with my background in pharmacy and interest in supply...

• Personal Life

Extrinsic And Intrinsic Motivators Within Sports

In professional sports athletes can be paid up to very large amounts of money. Through these large sums of money being paid this can lead to athletes becoming more extrinsically motivated rather than intrinsically motivated. Intrinsic motivation is where a person (athlete in this case)...

• Adventure Sports

Importance Of Perseverance In Reaching Your Life Goals

People complain, they complain about their situation without even trying to change it. They ask me: „Why should I even try“ „I‘m doing this so long, I can‘t reach anything“ they keep doubting themselves. But you know what is gonna make the big difference in...

• Modern Society

Human Motivation Theory By David McClelland

In any organization it should be considered vital to identify the underlying motivational forces of team members. Pinpointing motivators can help better understand the individual worker and to manage and motivate them in the best possible way in teams. David McClelland proposed his Human Motivation...

• Organizational Culture

Homework Assistance And Children'S Task Persistence

A child’s motivation in school context may be affected by many environmental factor’s, however, it is well known that the role a mother play’s may be crucial. The study conducted by Viljaranta et al. (2018) observes the longitudinal relation between a mother’s assistance with schoolwork...

The Importance Of Emotional Management

Motivation has been outlined in varied ways in which over the years, however a standard element of the various definitions is that motivation could be a force that energizes, activates and directs behavior. In 2006, Franken outlined motivation because the arousal, direction, and persistence of...

• Developmental Psychology
• Human Behavior

The Reasons Employee Motivation Is Critical For A Company

Motivation is the main stimulus directing the activities and actions of employees. It drives them to accomplish an objective or to satisfy desire. Comprehending what incites employees at work ensures that a business not just has workers that have the education, inclination and capacity to...

My Motivation To Pursue A Career In Theatre

Bringing people together to enjoy a production is a magical and memorable experience and over the years I’ve had the privilege to watch and perform in some amazing productions. I believe that taking young people to live theatre provides a host of developmental benefits, including...

Analysis Of Theories Of Job Satisfaction

Motivation refers to the drive and effort to satisfy a want or goal. Satisfaction refers to the contentment experienced when a want is satisfied. Motivation implies a drive toward an outcome, and satisfaction is the outcome already experienced. Job satisfaction is a general attitude, which...

• Job Satisfaction

My Motivation To Take A Role In The Medical Field

Desire to excel to the best of my abilities has always been a personal trait of mine and being aware there are obstacles to overcome, has only encouraged me further to achieve my goals and ambitions. A profound interest to study this degree course stems...

Best topics on Motivation

1. What Motivates Me as a Student

2. Rising Above Negativity: A Journey in Music and Self-Belief

3. Main Disadvantages Reward System and Recognition

4. Carl Rogers and Anna’s Case Study

5. My Ambition Far Exceeded My Talents

6. Motivation: Learning What Motivates You

7. Motivation Of People Seeking For Revenge

8. Application Of Motivation Models In Employee Engagement

9. The Promising Advantages of Honor Codes for the Student’s Future

10. How My Favorite Author’s Work Has Changed Me

11. How Motivation and Dedication Helped Me to Find My Goal in Life

12. How to Succed in College and Avoid Dropping Out

13. Finding the Motivation to Focus on One Objective

14. Selfishness as an Integral Part of Human Nature

15. Who Moved My Cheese: Overcoming the Obstacles

• Child Observation
• Obedience to Authority
• Growth Mindset
• The Bystander Effect
• Lev Vygotsky Theory
• Attachment Theory

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David Banks, New York City’s Schools Chancellor, to Resign

How can leaders in k-12 education develop an effective ai policy, 59% of licence holders have a wage job 12 months after graduating, u.s. news college rankings are out. why critics say they shouldn’t be trusted, north dakota higher ed board reports increases for fall enrollment numbers, a college taps wall street playbook to rival ivies on admissions, tool…to know what is happening’: councilors ask for 10-year plans from higher ed schools, elearning for remote team building: building company culture online, “cura personalis” leads georgetown university to embrace gender-neutral housing, cal state campuses brace for ‘severe consequences’ as budget gap looms, the psychology of grading: impact on student motivation and learning.

Grading plays a significant role in shaping student attitudes, behaviors, and learning outcomes. Understanding the psychological impact of grading is crucial for educators to implement effective assessment strategies that promote genuine learning and intrinsic motivation.

Motivation and Grading:

1.Extrinsic vs. Intrinsic Motivation:- Grades often serve as extrinsic motivators, encouraging students to work for a reward (good grade) or avoid punishment (bad grade).

• While effective in the short term, overemphasis on grades can undermine intrinsic motivation – the desire to learn for personal satisfaction or interest.

2.Goal Orientation:

• Performance Goals: Focus on demonstrating competence and outperforming others, often fostered by traditional grading.
• Mastery Goals: Emphasis on learning and improvement, which can be supported by more nuanced grading approaches.

3.Self-Efficacy:

• Grades significantly influence students’ beliefs about their abilities.
• Positive grades can boost confidence and motivation, while negative grades may lead to decreased self-efficacy and disengagement.

Cognitive Effects of Grading:

1.Attention and Focus:

• Grading can direct student attention to specific aspects of learning deemed important by the instructor.
• However, it may also narrow focus, causing students to neglect non-graded but valuable learning experiences.

2.Information Processing:

• The prospect of being graded can affect how students process information, potentially leading to surface-level learning focused on memorization rather than deep understanding.

3.Feedback Interpretation:

• Students often focus more on the grade itself rather than accompanying feedback, limiting opportunities for improvement.
• Growth mindset interventions can help students view grades as information about current performance rather than fixed abilities.

Emotional and Social Impacts:

1.Stress and Anxiety:

• High-stakes grading can induce significant stress and test anxiety, potentially impairing performance.
• Chronic stress related to grades may lead to burnout and decreased well-being.

2.Social Comparison:

• Grades often promote social comparison, which can be motivating for some but demoralizing for others.
• Excessive comparison may lead to unhealthy competition and decreased collaboration among students.

3.Identity Formation:

• Students may internalize grades as reflections of their worth or intelligence, impacting self-concept and academic identity.

Strategies for Psychologically Effective Grading:

1.Emphasize Learning Over Performance:

• Use rubrics that focus on specific skills and knowledge rather than comparative performance.
• Implement formative assessments that provide feedback without the pressure of final grades.

2.Promote a Growth Mindset:

• Frame grades as indicators of current performance, not innate ability.
• Provide opportunities for improvement and grade revisions.

3.Balance Intrinsic and Extrinsic Motivation:

• Incorporate self-assessment and reflection in the grading process.
• Connect grades to real-world applications and personal growth.

4.Reduce Stress and Anxiety:

• Use low-stakes assessments frequently rather than relying heavily on high-stakes exams.
• Provide clear expectations and grading criteria in advance.

5.Foster Collaboration:

• Include group projects and peer assessments in grading schemes.
• Emphasize individual improvement alongside absolute performance.

6.Personalize Feedback:

• Provide specific, actionable feedback along with grades.
• Use technology to give timely and detailed responses to student work.

7.Implement Alternative Grading Methods:

• Consider standards-based grading, which focuses on mastery of specific skills.
• Explore narrative evaluations or portfolio assessments for a more holistic view of student progress.

The psychology of grading reveals both the power and potential pitfalls of assessment in education. While grades can motivate and inform, they can also create stress and undermine intrinsic interest in learning. By understanding these psychological dynamics, educators can design grading systems that not only measure achievement but also foster a love of learning, resilience, and personal growth.

Ultimately, the goal should be to create an educational environment where grades serve as useful feedback for improvement rather than ends in themselves. This approach can help align the practice of grading with the broader goals of education: fostering curiosity, critical thinking, and lifelong learning.

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• Essay On Motivation

Motivation Essay

500+ words essay on motivation.

Motivation, the word itself, means positive vibes which push an individual to go through tough times. We all are unaware of what drives one to stay motivated. We have different sources, such as our role models, parents, teachers, etc. Everyone should have some infrequent motivation intervals to move forward in their life.

Meaning of Motivation

Motivation provides us with positive energy to achieve our goals and makes us feel optimistic and enthusiastic. It pushes us to perform our work specifically to get results. In our life, it gives us the energy to stay focused on our work. Every individual needs the motivation to achieve their dreams and aspirations. Human beings have numerous things to motivate themselves, such as encouragement from loved ones, friends, etc. Motivation from our parents makes us feel more confident about the path we pursue. It encourages us to believe in ourselves and make us stronger. Sometimes, we fail to achieve success, and at that phase, we require motivation. Once we get motivated, we start fresh with energy and hope.

Motivation comes with constant practice, meaning getting moved or inspired by someone that will help you achieve your goals. Everyone needs motivation, whether in a workplace, school, institution, etc.

Role of Motivation

Motivation comes with the right mindset irrespective of your goal, too big or long term. It helps us to move ahead mentally and physically. To keep ourselves motivated, we require a driving factor or tool and to become successful; we need to push our boundaries. Also, you need to come out of your comfort zone to reveal your true potential.

Types of Motivation

An individual might have various types of motivation, but in my opinion, motivation can be self-motivation and motivation by others.

Self-motivation: Self-motivation means keeping ourselves motivated without the influence of other people and situations. If you are self-motivated, you can complete the given task without guidance and encouragement.

Motivation by Others: People who lack self-motivation need help from others to keep themselves motivated. They need encouragement from others to maintain their state of motivation. These people also need to listen to motivational speeches for inspiration.

Sources of Motivation

The source of motivation can be anyone, either your school teachers or your parents, depending upon the situation.

From People: When it comes to our motivation, our mothers play an imperative role. Mothers selflessly motivate their children in every stage of life. According to research, it is found that when we communicate with our mothers, our brain releases oxytocin in a reasonable amount. It makes us feel good and motivated. Also, some people are well-known about our goal clearly, so they encourage us.

Famous Personalities: We also get inspiration from our favourite personalities like social workers, writers, political leaders, film stars, presidents, cricketers, etc. We want to become like the person we follow, which indirectly becomes our motivation.

Animals: Animals also motivate us, like dogs, which always make us happy. We can also take the example of an ant who keeps on falling but never gives up, so it teaches us that we should not feel unmotivated by our failure. Similarly, if we look at our surroundings, many animals motivate us.

Nature: The season is the best example when we talk about nature. The season keeps on changing, but we might not like every season, but still, we survive and understand its significance. Rivers also inspires and teaches us to face every problem of our life.

Books: They are one of the best sources of motivation. Many books have beautiful experiences shared with some captivating stories. Books are our best friends and the best motivators.

Conclusion of Motivation Essay

It is not only you who may feel low or sad. People meet different people and get motivated, like an energy drink. Always have your inspiration with you because it will help you achieve your goals. It is good to be optimistic because it helps us achieve our goals and adds peace to our lives.

From our BYJU’S website, students can learn CBSE Essays related to different topics. It will help students to get good marks in their upcoming exams.

Frequently Asked Questions on Motivation Essay

How important is self-motivation.

In today’s competitive world, motivating oneself constantly is necessary to move forward in life and career.

Do teachers play an important role in the ‘motivation factor’ of students?

Students spend maximum time in school, and thus, teachers are solely responsible (after parents) in motivating children towards the right goal.

How do students develop motivation?

Students can keep themselves motivated by setting realistic goals, making note of their progress, following timelines and rewarding themselves for their achievements.

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Tips for Writing Your Motivational Statement and Essays

While it’s one of our favorite parts of the application reading experience, we know that writing essay components can be anxiety-inducing for applicants. As you start or continue your application , we hope you find this guidance on the motivational statement and essays helpful.

Motivational Statement

All students applying to the Master of Public Policy (MPP) , MA in Public Policy (MA) , MS in Computational Analysis and Public Policy (MSCAPP) , and MA in Public Policy with Certificate in Research Methods (MACRM) programs are required to submit a 300-word motivational statement answering the questions: Why policy? Why Harris? (Or a version of these questions more specific to your program).

Some suggestions as you are thinking about your answers to these questions:

Answer the prompt. Don’t worry about using precious space to introduce yourself—jump right into answering the question. 

Write first, edit later. Get your ideas onto the page—whether that means bullet points, idea webs, or a journal entry. Don’t worry about crafting the perfect opener, meeting the word count, or checking grammar when you are first getting started.  

Reflect. Think about the professional, personal, or academic experience that has inspired you. 

Be specific. When answering Why Harris? , be specific to the University of Chicago and Harris. Analyze why certain programs, centers, classes, or professors made you want to apply here. 

Optional Essay Questions

Although the Motivation Statement is required, the essay questions are optional. For all optional essay questions, we aren’t just interested in the “right answer,” but how you are thinking about and approaching these complex questions.

Students applying to the Master of Public Policy (MPP) program may pick any of the three questions below. Completing question three will allow you to be considered for Pearson fellowships open only to MPP students.

Students applying to the MA in Public Policy (MA) , MS in Computational Analysis and Public Policy (MSCAPP) , and MA in Public Policy with Certificate in Research Methods (MACRM) programs may choose to complete optional essays 1 and

Option 1: Challenge—Describe briefly the biggest challenge you have ever faced. How did you tackle it and what did you learn? (max 300 words)

Tip: In essay one, you may write about a personal, professional, or academic challenge when answering this question. Perhaps more than the challenge itself, we are interested in how you tackled the challenge, and what you learned in the process.

Option 2: Community—Where do you see yourself getting involved in the community during your time at Harris—either at the University of Chicago or in the city of Chicago? (max 300 words)

Tip: If you are answering essay two, please make sure to speak specifically to Harris or UChicago.

Option 3: Pearson—If you would like to be considered for  The Pearson Fellowship , please answer the following: In reflecting on the complexities of past and present protracted global conflicts, please analyze what singular global conflict most puzzles you personally, and discuss why.

Tip: Please note that “global conflict” can refer to a range of conflicts (i.e. inter/intra state; those involving non-state actors, etc.) and a range of issues associated (i.e. refugee crises, religious conflict, gang violence, drug wars, domestic violence, etc.). Remember to consider: Is the conflict actually puzzling? For example, does it involve actors acting against their own best interest, or operating irrationally?​ And finally, for the purposes of this essay, you will not need to cite sources.

We hope you find these tips helpful as you move your application forward.

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Motivation College Essays Samples For Students

2086 samples of this type

Do you feel the need to check out some previously written College Essays on Motivation before you get down to writing an own piece? In this free directory of Motivation College Essay examples, you are provided with an exciting opportunity to discover meaningful topics, content structuring techniques, text flow, formatting styles, and other academically acclaimed writing practices. Applying them while composing your own Motivation College Essay will definitely allow you to complete the piece faster.

Presenting superb samples isn't the only way our free essays service can help students in their writing efforts – our experts can also create from scratch a fully customized College Essay on Motivation that would make a strong basis for your own academic work.

Free Essay On Environment of the Organization

- introduction.

In any organization, it is important to look out for the processes and the employees so as to improve the productivity levels. The top level management formulates the objectives and decides upon the targets, which the middle level and lower level employees need to fulfill it. However, in the process of fulfilling these objectives, it is important to look out for the motivation level of employees, the hostile environment of the organization, and the performance of the team. This paper shall take into consideration these parameters for analyzing Hooters Inc. and try to analyze them.

- Body - ... Read more Management Workplace Security Employee Teamwork Organization Environment Motivation Hostile Environment Time Management Team Goals 3 Pages Hospitality Industry Essay

The hospitality industry for a long time has struggled to get the best performance and loyalty from its employees. Hospitality industry employees have been subjected to poor working conditions, poor pay, and long working hours among many other issues and this has led to poor performance and disloyalty from many of them. Employee motivation has been found to be the key that could unlock the potential of hospitality industry employees. For a long time the hospitality industry has failed to establish what truly makes employees motivated and satisfied with their jobs (Karatepe & Sokmen, 2006).

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Example Of Public Organizations Essay

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It is apparent that understanding self is vital in becoming an authentic leader. Self-awareness assumed a strategic role in Sally Helgesen’s story of leadership. Through self-awareness, Sally was able to establish her abilities and weaknesses. This offered her a chance of capitalizing on her strengths while checking on her failures. In essence, Sally gained confidence with herself through self-awareness. The author of the story highlights that Sally initially doubted her ability in becoming an authentic leader. However, this changed with time, as she eventually gains the confidence with her potential to take up the challenging role of leadership (Northouse, 2013).

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Employee performance plays a great role in the realization of the organization’s output. An organization performance would be higher if all measures that are required to be put by the human resource are in order.

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Rational goal model is a guide to decision making in an organization whereby organizations hereby managers set goals that are reasonably achievable. Goals that are no achievable can demoralize the workers when they realize that the goals are not within their ability. In this regard, organizations set reasonable goals that can be achieved using the available organizational resources. However, the goals should not be so low such that the employees are not challenged by the goals. The performance in the achievement of goals is evaluated by comparing what has been achieved so far and the set targets (Belasen, 92).

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The key tactics and skills for managers, supervisors and entity owners to have are motivating employees in an organization. A manager has to put in mind the individual uniqueness among employees and discover that not all satisfaction techniques can work for everyone in an organization set up. As a result of this, managers should discover every employee’s motivation aspect. This paper presents valuable approaches that managers use to motivate their employees.

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This paper contains t-test analysis for intrinsic motivation by gender and extrinsic motivation by position based on AIU survey data. In all the two cases, null hypothesis failed to be rejected.

Hypothesis refers to a speculative explanation or answer to research problem or question (Lourens & Bedeker, 2007). The process of statistically choosing competing hypotheses is referred to as hypothesis testing (Kruglanski & Higgins, 2003). Some of the statistical methods of testing hypothesis included t-test and z-test.

Null hypotheses There is no significant difference between intrinsic motivation means of males and females Ho: µmale -µfemale = 0

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Standard Inverted Classroom: Student's Mathematics Performance and Motivation

2024, IJMRAP

This study explores the impact of the standard inverted classroom, an example of a flipped classroom approach, on students' Mathematics performance and motivation in a junior high school setting. Designed as a quasi-non-equivalent experimental study, it involved pre-class video lectures, assignments, and readings for initial concept exposure, followed by in-class interactive activities, discussions, and problem-solving exercises. The data collection tools were researcher-made Mathematics tests and Mathematics Motivation Scales. The study resulted in a significant difference in post-test scores in Mathematics between the control group exposed to the traditional method and the experimental group in the standard inverted classroom. Student-participants who were given pre-class information demonstrated improved subject understanding and thus obtained higher exam scores and overall Mathematics performance. In both settings, they displayed a solid eagerness to engage with the curriculum actively; therefore, intrinsic motivation levels were high regardless of the instructional method used. To summarize, the standard, inverted classroom approach positively impacts academic performance in mathematics. While motivation levels were consistent across teaching modalities used in the study, the flipped classroom can potentially improve educational outcomes through increased knowledge and engagement among junior high school students. The study recommends that Mathematics teachers, educators in general, recognize the potential of standard inverted classrooms to enhance learning of Mathematics concepts and further investigate using this approach to drive overall academic performance in Mathematics.

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The present study aimed to examine the effectiveness of the flipped classroom learning environment on learner's learning achievement and motivation, as well as to investigate the effects of flipped classrooms on learners with different achievement levels in learning mathematics concepts. The learning achievement and motivation were measured by the Mathematics Achievement Test (MAT) and Course Interest Survey (CIS), respectively. A pretest posttest quasi-experimental design was employed for this study. A total of 82 high-school students participated in this study, divided into experimental and control groups. The experimental group (41) was taught trigonometry using the flipped classroom method, while the control group (41) was taught by traditional teaching methods. The researchers employed independent sample t-test, analysis of covariance (ANCOVA), and multivariate analysis of variance (MANOVA) to analyze the data obtained. Findings indicated a significant difference in the learning achievement and motivation between the two groups, with students using the flipped classroom performing better. Further analysis showed a significant difference in the performance of low achievers in the experimental and control groups.

European Journal of STEM Education, 2016

This study aimed to determine the effects of flipped instruction on the performance and attitude of high school students in Mathematics. The study made use of the true experimental design, specifically the pretest-posttest control group design. There were two instruments used to gather data, the pretest-posttest which was subjected to validity and reliability tests and the Modified Fennema-Sherman Attitudes Scale. It was found out that the experimental and control groups were comparable in the pretest and posttest. Comparison on their gain scores revealed significant difference with performance of the experimental group higher than the control group. There was no significant difference on the level of attitude of the participants in the experimental group before and after the study in terms of confidence in learning mathematics, attitude toward success in mathematics, mathematics anxiety and perception of teacher's attitudes. A very weak positive relationship existed between performance and attitudes toward mathematics.

Journal of Social Sciences Advancement, 2021

This study aimed to determine the effects of two teaching methods namely, flipped classroom instruction and conventional instruction in teaching the least mastered competencies in the core subjects among Grade 8 students in one of the Junior High Schools in Zamboanga City who were purposively selected. A Quasi-Experimental Research using the non-randomized pre-test - post-test control group design and qualitative approach explored the effectiveness of the two teaching methods. The findings indicated that students in flipped classroom instruction and conventional instruction obtained higher scores in the post-test than the pre-test results in the core subjects. But, flipped classroom students got slightly higher mean scores as compared to those students who have been taught in the conventional instruction. However, statistically, no significant difference was found between the two methods in learning the least mastered competencies in Science, Mathematics and English. Further, result...

the Journal of Academic Social Sciences, 2017

IJMRAP, 2022

Mathematics video tutorials are great supplementary educational resources that can support and enhance learning amidst the pandemic. This study sought to determine the effect of Mathusay Math Tutorial (MMT) videos on the achievement of students in mathematics in modular distance learning. It made use of a Quasi-Experimental Pretest-Posttest design. Forty (40) Grade 10 students were purposively chosen to be part of this study. Twenty (20) of these students with mobile phones were assigned to the Mathusay Math Tutorial (MMT) group where they received video tutorials and selflearning modules named Adaptive Learning Materials (ALM) while the remaining 20 students were assigned to the Modular Print (MP) Group were only given ALM. The pretest and posttest results of the two groups were compared and analyzed. The achievement level of students in the MMT group increased compared to the MP group. Moreover, the results show that students exposed to MMT videos performed significantly better in the posttest compared to those who did not use it. MMT videos can potentially increase the students' achievement in mathematics.

Zenodo (CERN European Organization for Nuclear Research), 2023

World Journal on Educational Technology: Current Issues, 2017

The flipped classroom strategy (FCRS) is an innovative instructional approach that flips the traditional teacher-centered classroom into student-centered learning, by switching the classroom and home activities using the available educational technology. This paper examined the effect of (FCRS) on students&#39; achievement and self-regulated learning skills (SRLS) for 60 students enrolled in Comp101N course. The findings revealed a significant difference in both the mean of achievement test scores and SRLS scale of experimental group students and control group students in favor of the experimental group. A similar difference was found in the pre- and post-test achievement scores of experimental group students in favor of the post-test. The study recommended wider use of the FCRS in higher education and for post-graduate students.

This study aimed to investigate the impact of the flipped classroom model on students’ self-efficacy and the difference in self-efficacy between males and females using this model. In order to accomplish this, 66 advanced participants were selected from a private English language institute. They were divided into two equal groups, namely experimental (flipped classroom) and control (traditional) group. The students’ self-efficacy was scored before and after the intervention with the Self-Efficacy Survey. The results indicated an increase in their average self-efficacy score with the flipped classroom while the traditional classroom decreased their average score. When the genders were analyzed separately, the males demonstrated a decrease in self-efficacy while the females indicated an increase while utilizing the flipped classroom. In light of these results, some recommendations have been made. Authors Ehsan Namaziandost, Shouket Ahmad Tilwani, Shabnam Mahdizadeh Khodayari, Meisam Z...

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CICA Announces Topics for 2024-2025 Student Essay Contest

Students will address real-world commercial insurance market challenges with captive insurance solutions..

MINNEAPOLIS ─ SEPT. 26, 2024 ─ The Captive Insurance Companies Association (CICA) announced case study topics for its 2024-2025 Essay Contest Captive Insurance Solutions for Today’s Risk Management Challenges . Winners receive cash prizes and the opportunity to present their winning papers at the 2025 CICA International Conference March 9 – 11, 2025 at the JW Marriott Starr Pass Resort & Spa, Tucson, Arizona. The contest is sponsored by Hylant Global Captive Solutions . Essays will be published in Captive Insurance Times .

“The captive industry continues to experience rapid growth, and we need top talent to help create the innovative and effective solutions organizations are looking for. Our CICA Essay Contest lets students see first-hand how captives work and learn about the diverse career opportunities our industry offers,” CICA President Dan Towle said.

Two-person student teams will select one of three case study topics for the competition. Students will analyze and design a captive insurance structure to address the case study’s prime insurance risks and explain the rationale behind their conclusions. The case studies were developed by the Hylant GCS team, who will also provide mentorship for the students.

Case Study Topics

• Acadia Field – A stadium that seats 100,000, is responsible annually for the safety and security of 1,700 employees and 1.6 million attendees at 600+ events. They are experiencing increasing insurance premiums and limited coverage options from traditional insurers for several top risks.
• Seagrass Lodges – A group of 15 oceanfront hotels. Each hotel offers about 50 rooms and a unique restaurant and bar. The company has 900 employees spread across all the properties. Seagrass Lodges is experiencing commercial market premium increases across several primary coverages.
• Choose Your Industry – Select an industry such as healthcare, manufacturing or renewable energy and a type of organization within the industry such as a telehealth provider, a microchip creator or a solar panel distributor. Identify the emerging risks.

Anne Marie Towle, CEO Hylant Global Risk and Captive Solutions, said, “Continuing to engage students and show them the benefits of captive insurance careers is important for the industry. This is a wonderful and exciting industry where you have many new challenges and opportunities for growth. Hylant is thrilled to help provide this experience for students.”

Contest details, full case study descriptions, entry requirements and award details are available on the CICA website .

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