The purpose of this study was to examine the extent to which college students’ perceptions of a course predicted their engagement and, subsequently, their learning in the course. This study is needed because relatively few studies have examined the relationships between several different class perceptions, engagement, and learning (as opposed to achievement). Understanding which class perceptions are significantly related to engagement and learning could help instructors design interventions to increase those perceptions. Participants included 355 students in a psychology course at a large, public university in the southeastern U.S. Students completed an online survey about their course perceptions, behavioral engagement, and cognitive engagement. In class, students completed a pretest and final exam that was used to calculate a learning score. We tested hypothesized path models that included measures of students’ class perceptions, engagement, and learning and confirmed that students’ class perceptions were not directly related to their learning; but instead, their class perceptions predicted their engagement, which then predicted their learning. Students’ perceptions of empowerment (i.e., their ability to have choices and make decisions) and the extent to which the course content was useful to their goals were particularly important in predicting their cognitive engagement. An implication of these findings is that if instructors want to increase students’ cognitive and behavioral engagement, they could use strategies that would lead to increases in students’ perceptions of empowerment and usefulness.
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Ames, C. (1992). Classrooms: Goals, structures, and student motivation. Journal of Educational Psychology, 84(3), 261–271. https://doi.org/10.1037/0022-06126.96.36.1991.
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 445–455). Newbury Park, CA: Sage.
Byrne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Mahwah, NJ: Lawrence Erlbaum.
Chittum, J., & Jones, B. D. (2017). Identifying pre-high school students’ science class motivation profiles to increase their science identification and persistence. Journal of Educational Psychology, 109(8), 1163–1187. https://doi.org/10.1037/edu0000176.
Christenson, S. L., Reschly, A. L., & Wylie, C. (Eds.). (2012a). Handbook of research on student engagement. New York: Springer.
Christenson, S. L., Reschly, A. L., & Wylie, C. (2012b). Epilogue. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 813–817). New York: Springer.
Cronbach, L. J., & Furby, L. (1970). How we should measure “change”—Or should we? Psychological Bulletin, 74, 32–49.
Deci, E. L., & Ryan, R. M. (1991). A motivational approach to self: Integration in personality. In R. Dienstbier (Ed.), Nebraska symposium on motivation (Vol. 38). Lincoln: University of Nebraska Press.
Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01.
De Naeghel, J., Van Keer, H., Vansteenkiste, M., & Rosseel, Y. (2012). The relation between elementary students’ recreational and academic reading motivation, reading frequency, engagement, and comprehension: A self-determination theory perspective. The Journal of Educational Psychology, 104(4), 1006–1021. https://doi.org/10.1037/a0027800.
Dweck, C. S. (1999). Self-theories: Their role in motivation, personality, and development. Philadelphia: Psychology Press.
Finn, J. D., & Zimmer, K. S. (2012). Student engagement: What is it? Why does it matter. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 97–131). New York: Springer. https://doi.org/10.1007/978-1-4614-2018-7_5.
Flake, J. K., Barron, K. E., Hulleman, C., McCoach, B. D., & Welsh, M. E. (2015). Measuring cost: The forgotten component of expectancy-value theory. Contemporary Educational Psychology, 41, 232–244. https://doi.org/10.1016/j.cedpsych.2015.03.002.
Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109.
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.
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. https://doi.org/10.1080/10705519909540118.
Hulleman, C. S., Kosovich, J. J., Barron, K. E., & Daniel, D. B. (2017). Making connections: Replicating and extending the utility value intervention in the classroom. Journal of Educational Psychology, 109(3), 387–404.
Jang, H., Kim, E. J., & Reeve, J. (2012). Longitudinal test of self-determination theory’s motivation mediation model in a naturally occurring classroom context. Journal of Educational Psychology, 104(4), 1175–1188. https://doi.org/10.1037/a0028089.
Jones, B. D. (2009). Motivating students to engage in learning: The MUSIC model of academic motivation. International Journal of Teaching and Learning in Higher Education, 21(2), 272–285.
Jones, B. D. (2010). An examination of motivation model components in face-to-face and online instruction. Electronic Journal of Research in Educational Psychology, 8(3), 915–944.
Jones, B. D. (2017a). User guide for assessing the components of the MUSIC model of academic motivation. Retrieved from http://www.theMUSICmodel.com. Accessed 3 May 2018.
Jones. (2017b). Relationships between students’ course perceptions and effort. Unpublished manuscript, School of Education, Virginia Tech, VA.
Jones, B. D. (2018). Motivating students by design: Practical strategies for professors (2018). Charleston, SC: CreateSpace.
Jones, B. D., Byrnes, M. K., & Jones, M. W. (2019). Validation of the MUSIC Model of Academic Motivation Inventory: Evidence for use with veterinary medicine students. Frontiers in Veterinary Science, 6(11), 1–9. https://doi.org/10.3389/fvets.2019.00011.
Jones, B. D., Li, M., & Cruz, J. M. (2017). A cross-cultural validation of the MUSIC® Model of Academic Motivation Inventory: Evidence from Chinese- and Spanish-speaking university students. International Journal of Educational Psychology, 6(1), 366–385. https://doi.org/10.17583/ijep.2017.2357.
Jones, B. D., Osborne, J. W., Paretti, M. C., & Matusovich, H. M. (2014). Relationships among students’ perceptions of a first-year engineering design course and their engineering identification, motivational beliefs, course effort, and academic outcomes. International Journal of Engineering Education, 30(6A), 1340–1356.
Jones, B. D., & Sigmon, M. L. (2016). Validation evidence for the elementary school version of the MUSIC® Model of Academic Motivation Inventory. Electronic Journal of Research in Educational Psychology, 14(1), 155–174. https://doi.org/10.14204/ejrep.38.15081.
Jones, B. D., & Skaggs, G. E. (2016). Measuring students’ motivation: Validity evidence for the MUSIC model of academic motivation inventory. International Journal for the Scholarship of Teaching and Learning. https://doi.org/10.20429/ijsotl.2016.100107.
Jones, B. D., Tendhar, C., & Paretti, M. C. (2016). The effects of students’ course perceptions on their domain identification, motivational beliefs, and goals. Journal of Career Development. https://doi.org/10.1177/0894845315603821.
Jones, B. D., & Wilkins, J. L. M. (2013). Testing the MUSIC Model of Academic Motivation through confirmatory factor analysis. Educational Psychology: An International Journal of Experimental Educational Psychology, 33(4), 482–503. https://doi.org/10.1080/01443410.2013.785044.
Kaplan, H. (2018). Teachers’ autonomy support, autonomy suppression and conditional negative regard as predictors of optimal experience among high-achieving Bedouin students. Social Psychology of Education, 21(1), 223–255. https://doi.org/10.1007/s11218-017-9405-y.
Kline, R. B. (2005). Principles and practice of structural equation modeling. New York: The Guilford Press.
Kline, R. B. (2011). Principles and Practice of Structural Equation Modeling (3rd ed.). New York, NY: Guilford Press.
Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45, 79–122. https://doi.org/10.1006/jvbe.1994.1027.
Locke, E. A., & Latham, G. P. (2002). Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American Psychologist, 57, 705–717.
Manee, F. M., Salehi, E., Baghaei, R., & Alipour, M. (2017). Testing the seven-factor model of academic motivation (MUSIC) in medical sciences students. Iranian Journal of Medical Education, 17(8), 69–81.
Martin, A. J., Anderson, J., Bobis, J., Way, J., & Vellar, R. (2012). Switching on and switching off in mathematics: An ecological student of future intentand disengagement amongst middle school students. Journal of Educational Psychology, 104(1), 1–18. https://doi.org/10.1037/a0025988.
McGinley, J. J., & Jones, B. D. (2014). A brief instructional intervention to increase students’ motivation on the first day of class. Teaching of Psychology, 41(2), 158–162. https://doi.org/10.1177/0098628314530350.
Mohamed, H. E., Soliman, M. H., & Jones, B. D. (2013). A cross-cultural validation of the MUSIC Model of Academic Motivation and its associated inventory among Egyptian university students. Journal of Counseling Quarterly Journal, 36, 2–14.
Muenks, K., Wigfield, A., Yang, J. S., & O’Neal, C. R. (2017). How true is grit? Assessing its relations to high school and college students’ personality characteristics, self-regulation, engagement, and achievement. Journal of Educational Psychology, 109(5), 599–620.
Neter, J., Wasserman, W., & Kutner, M. H. (1989). Applied linear regression models. Homewood, IL: Irwin.
Noddings, N. (1992). The challenge to care in schools: An alternative approach to education. New York, NY: Teachers College Press.
Pace, A. C., Ham, A.-J. L., Poole, T. M., & Wahaib, K. L. (2016). Validation of the MUSIC® Model of Academic Motivation Inventory for use with student pharmacists. Currents in Pharmacy Teaching & Learning, 8, 589–597. https://doi.org/10.1016/j.cptl.2016.06.001.
Parkes, K., Jones, B. D., & Wilkins, J. (2017). Assessing music students’ motivation using the MUSIC Model of Academic Motivation Inventory. UPDATE: Applications of Research in Music Education, 35(3), 16–22. https://doi.org/10.1177/8755123315620835.
Patall, E. A., Steingut, R. R., Vasquez, A. C., Trimble, S. S., Pituch, K. A., & Freeman, J. L. (2018). Daily autonomy supporting or thwarting and students’ motivation and engagement in the high school science classroom. Journal of Educational Psychology, 110(2), 269–288. https://doi.org/10.1037/edu0000214.
Patall, E. A., Vasquez, A. C., Steingut, R. R., Trimble, S. S., & Pituch, K. A. (2016). Daily interest, engagement, and autonomy support in the high school science classroom. Contemporary Educational Psychology, 46, 180–194. https://doi.org/10.1016/j.cedpsych.2016.06.002.
Reeve, J. (2013). How students create motivational a supportive learning environments for themselves: the concept of agency engagement. Journal of Educational Psychology, 105(3), 579–595. https://doi.org/10.1037/a0032690.
Reeve, J., Jang, H., Carrell, D., Jeon, S., & Barch, J. (2004). Enhancing students’ engagement by increasing teachers’ autonomy support. Motivation and Emotion, 28, 147–169.
Reschly, A. L., & Christenson, S. L. (2012). Developmental dynamics of student engagement, coping, and everyday resilience. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 21–44). New York: Springer.
Robinson, K. A., Ranellucci, J., Lee, Y.-K., Wormington, S. V., Roseth, C. J., & Linnenbrink-Garcia, L. (2017). Affective profiles and academic success ina college science course. Contemporary Educational Psychology, 51, 209–221.
Ruiz-Alfonso, Z., & Leon, J. (2017). Passion for math: Relationships between teachers’ emphasis on class contents usefulness, motivation and grades. Contemporary Educational Psychology, 51, 284–292.
Schram, A. B., & Jones, B. D. (2016). A cross-cultural adaptation and validation of the Icelandic version of the MUSIC Model of Academic Motivation Inventory. Icelandic Journal of Education, 25(2), 159–181.
Schunk, D. H., Meece, J. L., & Pintrich, P. R. (2014). Motivation in education: Theory, research, and applications (4th ed.). Pearson: Columbus.
Shell, D. F., & Husman, J. (2008). Control, motivation, affect, and strategic self–regulation in the college classroom: A multidimensional phenomenon. Journal of Educational Psychology, 100(2), 443–459. https://doi.org/10.1037/0022-06188.8.131.523.
Shell, D. F., Husman, J., Turner, J. E., Cliffel, D. M., Nath, I., & Sweany, N. (2005). The impact of computer-supported collaborative learning communitieson high school students’ knowledge building, strategic learning, and perceptions of the classroom. Journal of Educational Computing Research, 33(3), 327–349.
Simpson, E. H., & Balsam, P. D. (Eds.). (2016). Behavioral neuroscience of motivation (current topics in behavioral neurosciences, Book 27). Switzerland: Springer. https://doi.org/10.1007/7854_2015_402.
Sinatra, G. M., Heddy, B. C., & Lombardi, D. (2015). The challenges of defining and measuring student engagement in science. Educational Psychologist, 50(1), 1–13. https://doi.org/10.1080/00461520.2014.1002924.
Skinner, E. A., & Pitzer, J. R. (2012). Developmental dynamics of student engagement, coping, and everyday resilience. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 21–44). New York: Springer.
Su, Y.-L., & Reeve, J. (2011). A meta-analysis of the effectiveness of intervention programs designed to support autonomy. Educational Psychology Review, 23(1), 159–188. https://doi.org/10.1007/s10648-010-9142-7.
Tendhar, C., Singh, K., & Jones, B. D. (2017). Using the domain identification model to study major and career decision-making processes. European Journal of Engineering Education, 43(2), 235–246. https://doi.org/10.1080/03043797.2017.1329280.
Tucker, L. R., Damarin, F., & Messick, S. (1966). A basefree measure of change. Psychometrika, 31, 457–473.
Urdan, T., & Schoenfelder, E. (2006). Classroom effects on student motivation: Goal structures, social relationships, and competence beliefs. Journal of School Psychology, 44, 331–349.
Wentzel, K. R. (1997). Student motivation in middle school: The role of perceived pedagogical caring. Journal of Educational Psychology, 89(3), 411–419. https://doi.org/10.1037/0022-06184.108.40.2061.
Wentzel, K. R., & Miele, D. B. (Eds.). (2016). Handbook of motivation at school (2nd ed.). New York, NY: Routledge.
Wigfield, A., & Eccles, J. S. (2000). Expectancy-value theory of achievement motivation. Contemporary Educational Psychology, 25(1), 68–81. https://doi.org/10.1006/ceps.1999.1015.
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Jones, B.D., Carter, D. Relationships between students’ course perceptions, engagement, and learning. Soc Psychol Educ 22, 819–839 (2019). https://doi.org/10.1007/s11218-019-09500-x
- Academic motivation
- MUSIC Model of Motivation