Skip to main content

Advertisement

Log in

Towards an Understanding of STEM Engagement: a Review of the Literature on Motivation and Academic Emotions

  • Published:
Canadian Journal of Science, Mathematics and Technology Education Aims and scope Submit manuscript

Abstract

There are international calls to enhance learner engagement in STEM. Further, there are international concerns about the gender disparity in interest, aspiration, and participation in STEM. These calls recognise the role that learners’ motivation in, and emotional response to, STEM plays in their participation and achievement in STEM education. However, there is a lack of understanding as to what constitutes “engagement” in STEM education. In this article, we adopt an educational psychology-based definition of engagement that is influenced by motivational and emotional constructs. We review a purposive sample of student motivation and academic emotion literature to reveal pertinent insights about student STEM engagement. The review pays particular attention to findings associated with gender and offers a summary of the limited research around educational interventions informed by motivational models. This review reveals that self-concept, self-efficacy, and task value are important for STEM engagement, performance, subject selection, and career aspirations. Mastery goals are linked to high effort and persistence in STEM, while autonomy, relatedness, and growth mindsets improve STEM participation and achievement. Further, girls have lower self-concept in STEM, are less likely to hold interest and utility value, and are more likely to attribute failure to a lack of ability. Finally, negative emotional responses to STEM can form early and persist throughout schooling. These affective aspects need to be understood and explicitly addressed as part of any successful strategy to improve engagement in STEM education, and to address the significant gender equity issues associated with STEM.

Résumé

Il y a des appels internationaux visant à accroitre le niveau d’engagement dans les STEM. De plus, on note une préoccupation au niveau international quant à la disparité entre les sexes lorsqu’il est question d’intérêt, d’aspirations et de participation à l’égard des STEM. Ces appels reconnaissent le rôle que jouent la motivation des étudiants et leurs réactions émotives dans la participation et la performance en enseignement /apprentissage des STEM. Cependant, un manque de compréhension persiste en ce qui concerne la définition exacte de ce qu’est l’engagement dans les STEM. Dans cet article, nous adoptons une définition de cet engagement fondée sur la psychologie éducative, influencée par des construits motivationnels et émotionnels. Nous analysons un échantillonnage raisonné de documents sur la motivation étudiante et sur le comportement affectif afin de révéler des informations pertinentes au sujet de l’engagement des étudiants dans les STEM. L’analyse se penche en particulier sur les résultats liés à la différence de sexe, et présente un résumé des quelques travaux portant sur les interventions pédagogiques qui tiennent compte de modèles motivationnels. L’analyse révèle que l’image de soi, l’efficacité personnelle et la valeur de la tâche sont importantes pour ce qui a trait à l’engagement, à la performance, au choix du sujet et aux aspirations professionnelles dans les domaines STEM. Les buts de maîtrise sont liés à l’effort soutenu et à la persévérance dans ces domaines, tandis qu’une mentalité axée sur l’autonomie, la relation et le perfectionnement améliorent la participation et les résultats. De plus, les filles ont une image de soi moins positive en STEM, ont une probabilité moins élevée de valoriser les STEM ou de soutenir leur intérêt pour ces domaines, et sont plus facilement prêtes à attribuer leurs échecs à un manque d’habileté. Enfin, des réponses émotives négatives à l’égard des STEM peuvent se développer très tôt et persister pendant toute la formation scolaire. Il est nécessaire de comprendre et d’affronter explicitement ces aspects affectifs si on veut promouvoir une stratégie efficace pour améliorer l’engagement envers l’enseignement/apprentissage des STEM, et enrayer les problèmes significatifs de disparité entre les sexes associés aux STEM.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Ames, C. (1992). Classrooms: Goals, structures, and student motivation. Journal of Educational Psychology, 84, 261–271. https://doi.org/10.1037/0022-0663.84.3.261

    Google Scholar 

  • Ames, C., & Archer, J. (1988). Achievement goals in the classroom: Students’ learning strategies and motivation processes. Journal of Educational Psychology, 80(3), 260-267.

    Google Scholar 

  • Anderman, E M., & Midgley, C. (1997). Changes in achievement goal orientations, perceived academic competence, and grades across the transition to middle-level schools. Contemporary Educational Psychology, 22(3), 269-298.

    Google Scholar 

  • Andersen, L., & Chen, J. A. (2016). Do high-ability students disidentify with science? A descriptive study of US ninth graders in 2009. Science Education, 100, 57-77. https://doi.org/10.1002/sce.21197

    Google Scholar 

  • Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman.

    Google Scholar 

  • Battle, A., & Wigfield, A. (2003). College women’s value orientations toward family, career, and graduate school. Journal of Vocational Behavior, 62, 56-75. https://doi.org/10.1016/S0001-8791(02)00037-4

    Google Scholar 

  • Bieg, S., Backes, S., & Mittag, W. (2011). The role of intrinsic motivation for teaching, teachers’ care and autonomy support in students’ self-determined motivation. Journal for Educational Research Online, 3(1), 122-140.

    Google Scholar 

  • Blackley, S., & Howell, J. (2015). A STEM Narrative: 15 Years in the Making. Australian Journal of Teacher Education, 40(7).

  • Blackwell, L. S., Trzesniewski, K. H., & Dweck, C. S. (2007). Implicit Theories of Intelligence Predict Achievement Across an Adolescent Transition: A Longitudinal Study and an Intervention. Child Development, 78(1), 246-263. doi:https://doi.org/10.1111/j.1467-8624.2007.00995.x

    Google Scholar 

  • Bostwick, K.C.P., Collie, R.J., Martin, A.J., & Durksen, T.L. (2017). Students’ growth mindsets, goals, and academic outcomes in mathematics. Zeitschrift für Psychologie, 225(2), 107-116.

    Google Scholar 

  • Burke, L.A., & Hutchins, H.M. (2007). Training transfer: An integrative literature review. Human Resource Development Review, 6(3), 263-296.

    Google Scholar 

  • Carmichael, C., Muir, T., & Callingham, R. (2017). The impact of within-school autonomy on students’ goal orientations and engagement with mathematics. Mathematics Education Research Journal, 29, 219-236.

    Google Scholar 

  • Chen, J.A., & Pajares, F. (2010). Implicit theories of ability of Grade 6 science students: Relation to epistemological beliefs and academic motivation and achievement in science. Contemporary Educational Psychology, 35, 75-87.

    Google Scholar 

  • Chen, J.A., & Tutwiler, M.S. (2017). Implicit theories of ability and self-efficacy: Testing alternative social cognitive models to science motivation. Zeitschrift für Psychologie, 225(2), 127-136.

    Google Scholar 

  • Cheng, A., Kopotic, K., & Zamarro, G. (2017). Can Parents’ Growth Mindset and Role Modelling Address STEM Gender Gaps?

    Google Scholar 

  • Chittum, J.R., Jones, B.D., Akalin, S., & Schram, Á.B. (2017). The effects of an afterschool STEM program on students’ motivation and engagement. International Journal of STEM Education, 4(11). https://doi.org/10.1186/s40594-017-0065-4

  • Chouinard, R., & Roy, N. (2008). Changes in high-school students’ competence beliefs, utility value and achievement goals in mathematics. British Journal of Educational Psychology, 78(1), 31-50.

    Google Scholar 

  • Chouinard, R., Karsenti, T., & Roy, N. (2007). Relations among competence beliefs, utility value, achievement goals, and effort in mathematics. British Journal of Educational Psychology, 77, 501-517. https://doi.org/10.1348/000709906X133589

    Google Scholar 

  • Christenson, S.L., Reschly, A.L., & Wylie, C. (Eds.). (2012). Handbook of research on student engagement. New York: Springer.

    Google Scholar 

  • Cole, D. A. (1991). Preliminary support for a competency-based model of depression in children. Journal of Abnormal Psychology, 100, 181–190. https://doi.org/10.1037/0021-843X.100.2.181

    Google Scholar 

  • Council of Canadian Academies. (2015). Some assembly required: STEM skills and Canada's economic productivity. Ottawa: Council of Canadian Academies. Retrieved from http://www.scienceadvice.ca/uploads/ENG/AssessmentsPublicationsNewsReleases/STEM/STEMFullReportEn.pdf

  • Daniels, L. M., Stupnisky, R. H., Pekrun, R., Haynes, T. L., Perry, R. P., Newall, N. E. (2009). A longitudinal analysis of achievement goals: From affective antecedents to emotional effects and achievement outcomes. Journal of Educational Psychology, 101, 948-963. https://doi.org/10.1037/a0016096

    Google Scholar 

  • Dar-Nimrod, I., & Heine, S. J. (2006). Exposure to scientific theories affects women’s math performance. Science, 314(5798), 435-435.

    Google Scholar 

  • Deci, E.L., & Ryan, R.M. (1985). Intrinsic motivation and self-determination in human behavior. New York: Plenum.

    Google Scholar 

  • Degol, J. L., Wang, M.-T., Zhang, Y., & Allerton, J. (2018). Do Growth Mindsets in Math Benefit Females? Identifying Pathways between Gender, Mindset, and Motivation. Journal of Youth and Adolescence, 47(5), 976-990. doi:https://doi.org/10.1007/s10964-017-0739-8

    Google Scholar 

  • Dettmers, S., Trautwein, U., Lüdtke, O., Goetz, T., Frenzel, A.C., & Pekrun, R. (2011). Students’ emotions during homework in mathematics: Testing a theoretical model of antecedents and achievement outcomes. Contemporary Educational Psychology, 36, 25-35.

    Google Scholar 

  • Durik, A. M., Lovejoy, C. M., & Johnson, S. J. (2009). A longitudinal study of achievement goals for college in general: Predicting cumulative GPA and diversity in course selection. Contemporary Educational Psychology, 34, 113-119.

    Google Scholar 

  • Dweck, C.S. (2002). The development of ability conceptions. In A. Wigfield & J. S. Eccles (Eds.), Development of achievement motivation (pp. 57-88). San Diego: Academic Press.

    Google Scholar 

  • Dweck, C., & Leggett, E. (1988). A social-cognitive approach to motivation and personality. Psychological Review, 95, 256–273. https://doi.org/10.1037/0033-295X.95.2.256

    Google Scholar 

  • Eccles, J. S. (2005). Subjective task values and the Eccles et al. model of achievement related choices. In: A. J. Elliott & C. S. Dweck (Eds), Handbook of competence and motivation (pp. 105-121). New York: Guilford.

    Google Scholar 

  • Eccles, J. S. (2009). Who am I and what am I going to do with my life? Personal and collective identities as motivators of action. Educational Psychologist, 44, 78–89. https://doi.org/10.1080/00461520902832368

    Google Scholar 

  • Eccles, J., Adler, T.F., Futterman, R., Goff, S. B., Kaczala, C.M., Meece, J., and Midgeley, C. (1983). Expectancies, values and academic behaviors. In Spence, J. T. (ed.), Achievement and Achievement Motives, W. H. Freeman, San Francisco.

    Google Scholar 

  • Education Council. (2015). National STEM School Education Strategy 2016-2026. Australia: Education Council. Retrieved from http://www.scseec.edu.au/site/DefaultSite/filesystem/documents/National STEM School Education Strategy.pdf.

  • Elliot, A. J., & McGregor, H. A. (2001). A 2*2 Achievement goal framework. Journal of Educational Psychology, 80, 501-519. https://doi.org/10.1037/0022-3514.80.3.501

    Google Scholar 

  • Elliott, E. S., & Dweck, C. S. (1988). Goals: An approach to Motivation and Achievement. Journal of Personality and Social Psychology, 54, 5-12. https://doi.org/10.1037/0022-3514.54.1.5

    Google Scholar 

  • Falco, L.D., & Summers, J.J. (2017). Improving career decision self-efficacy and STEM self-efficacy in high school girls: Evaluation of an intervention. Journal of Career Development. https://doi.org/10.1177/0894845317721651

  • Fredricks, J.A., & Eccles, J.S. (2002). Children's competence and value beliefs from childhood through adolescence: Growth trajectories in two male-sex-typed domains. Developmental Psychology, 38(4), 519-533.

    Google Scholar 

  • 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.

    Google Scholar 

  • Friedel, J. M., Cortina, K. S., Turner, J. C., & Midgley, C. (2007). Achievement goals, efficacy beliefs and coping strategies in mathematics: The roles of perceived parent and teacher goal emphases. Contemporary Educational Psychology, 32, 434-458.

    Google Scholar 

  • Furrer, C., & Skinner, E. (2003). Sense of relatedness as a factor in children’s academic engagement and performance. Journal of Educational Psychology, 95(1), 148-162.

    Google Scholar 

  • Goetz, T., Lüdtke, O., Nett, U.E., Keller, M.M., & Lipnevich, A.A. (2013). Characteristics of teaching and students’ emotions in the classroom: Investigating differences across domains. Contemporary Educational Psychology, 38, 383-394.

    Google Scholar 

  • Gonida, E.N., Karabenick, S.A., Makara, K.A., & Hatzikyriakou, G.A. (2014). Perceived parent goals and student goal orientations as predictors of seeking or not seeking help: Does age matter? Learning and Instruction, 33, 120-130.

    Google Scholar 

  • Gough, A. (2015). STEM Policy and Science Education: Scientistic Curriculum and Sociopolitical Silences. Cultural Studies of Science Education, 10(2), 445-458.

    Google Scholar 

  • Guo, J., Parker, P. D., Marsh, H. W., & Morin, A. J. (2015). Achievement, motivation, and educational choices: A longitudinal study of expectancy and value using a multiplicative perspective. Developmental psychology, 51, 1163. https://doi.org/10.1037/a0039440

    Google Scholar 

  • Guo, J., Marsh, H. W., Parker, P. D., Morin, A. J., & Dicke, T. (2017). Extending expectancy-value theory predictions of achievement and aspirations in science: Dimensional comparison processes and expectancy-by-value interactions. Learning and Instruction, 49, 81-91. https://doi.org/10.1016/j.learninstruc.2016.12.007

    Google Scholar 

  • Hagger, M.S., Sultan, S., Hardcastle, S.J., Chatzisarantis, N.L.D. (2015). Perceived autonomy support and autonomous motivation toward mathematics activities in educational and out-of-school contexts is related to mathematics homework behavior and attainment. Contemporary Educational Psychology, 41, 111-123.

    Google Scholar 

  • Hamre, B.K., & Pianta, R.C. (2001). Early teacher–child relationships and the trajectory of children’s school outcomes through eighth grade. Child Development, 72(2), 625-638.

    Google Scholar 

  • Harackiewicz, J. M., Barron, K. E., Tauer, J. M., & Elliot, A. J. (2002). Predicting success in college: A longitudinal study of achievement goals and ability measures as predictors of interest and performance from freshman year through graduation. Journal of Educational Psychology, 94, 562–575. https://doi.org/10.1037/0022-0663.94.3.562

    Google Scholar 

  • Hiller, S. E., & Kitsantas, A. (2014). The effect of a horseshoe crab citizen science program on middle school student science performance and STEM career motivation. School Science and Mathematics, 114, 302-311.https://doi.org/10.1111/ssm.12081

    Google Scholar 

  • Hoyle, P. (2016). Must try harder: An evaluation of the UK government's policy directions in STEM education. Paper presented at the Research Conference 2016: Improving STEM learning, what will it take?, Brisbane.

  • Hulleman, C., Durik, A., Schweigert, S., & Harackiewicz, J. (2008). Task values, achievement goals, and interest: An integrative analysis. Journal of Educational Psychology, 100, 398-416. https://doi.org/10.1037/0022-0663.100.2.398

    Google Scholar 

  • ICF & Cedefop. (2014). EU skills panorama stem skills analytical highlights. Brussels: Retrieved from http://skillspanorama.cedefop.europa.eu/sites/default/files/EUSP_AH_STEM_0.pdf

  • Itzek-Greulich, H., & Vollmer, C. (2017). Emotional and motivational outcomes of lab work in the secondary intermediate track: The contribution of a science center outreach lab. Journal of Research in Science Teaching, 54(1), 3-28.

    Google Scholar 

  • Jacobs, J. E., Lanza, S., Osgood, D. W., Eccles, J. S., & Wigfield, A. (2002). Changes in children’s self-competence and values: Gender and domain differences across grades one through twelve. Child development, 73, 509-527. https://doi.org/10.1111/1467-8624.00421

    Google Scholar 

  • Jang, H., Reeve, J., & Deci, E.L. (2010). Engaging students in learning activities: It is not autonomy support or structure but autonomy support and structure. Journal of Educational Psychology, 102(3), 588-600.

    Google Scholar 

  • Jansen, B.R.J., Louwerse, J., Straatemeier, M., Van der Ven, S.H.G., Klinkenberg, S., & Van der Maas, H.L.J. (2013). The influence of experiencing success in math on math anxiety, perceived math competence, and math performance. Learning and Individual Differences, 24, 190-197.

    Google Scholar 

  • Jensen, F., & Sjaastad, J. (2013). A Norwegian out-of-school mathematics project’s influence on secondary students’ STEM motivation. International Journal of Science and Mathematics Education, 11, 1437-1461.

    Google Scholar 

  • Jungert, T., & Koestner, R. (2015). Science adjustment, parental and teacher autonomy support and the cognitive orientation of science students. Educational Psychology, 35(3), 361-376.

    Google Scholar 

  • Kaplan, A., Gheen, M., & Midgley, C. (2002). Classroom goal structure and student disruptive behavior. British Journal of Educational Psychology, 72, 191-211.

    Google Scholar 

  • King, R.B. (2015). Sense of relatedness boosts engagement, achievement, and well-being: A latent growth model study. Contemporary Educational Psychology, 41, 26-38.

    Google Scholar 

  • Köller, O., Baumert, J., & Schnabel, K. (2001). Does interest matter? The relationship between academic interest and achievement in mathematics. Journal for Research in Mathematics Education, 32(5), 448-470.

    Google Scholar 

  • Larkin, K., & Jorgensen, R. (2016). ‘I hate maths: Why do we need to do maths?’: Using iPad video diaries to investigate attitudes and emotions towards mathematics in Year 3 and Year 6 students. International Journal of Science and Mathematics Education, 14, 925-944.

    Google Scholar 

  • Lazarides, R., & Rubach, C. (2017). Instructional characteristics in mathematics classrooms: Relationships to achievement goal orientation and student engagement. Mathematics Education Research Journal, 29, 201-217.

    Google Scholar 

  • Liem, A. D., Lau, S., & Nie, Y. (2008). The role of self-efficacy, task value, and achievement goals in predicting learning strategies, task disengagement, peer relationship, and achievement outcome. Contemporary Educational Psychology, 33, 486-512. https://doi.org/10.1016/j.cedpsych.2007.08.001

    Google Scholar 

  • Liou, P. Y. (2017). Profiles of adolescents’ motivational beliefs in science learning and science achievement in 26 countries: Results from TIMSS 2011 data. International Journal of Educational Research, 81, 83-96. https://doi.org/10.1016/j.ijer.2016.11.006

    Google Scholar 

  • Marginson, S., Tytler, R., Freeman, B. & Roberts, K. (2013). STEM: Country comparisons. Report for the Australian Council of Learned Academies. Melbourne: Australia. Retrieved from http://dro.deakin.edu.au/eserv/DU:30059041/tytler-stemcountry-2013.pdf

  • Master, A., Cheryan, S., & Meltzoff, A.N. (2017a). Social group membership increases STEM engagement among preschoolers. Developmental Psychology, 53(2), 201-209.

    Google Scholar 

  • Master, A., Cheryan, S., Moscatelli, A., & Meltzoff, A.N. (2017b). Programming experience promotes higher STEM motivation among first-grade girls. Journal of Experimental Child Psychology, 160, 92-106.

    Google Scholar 

  • McDonald, C. (2016). STEM education: A review of the contribution of the disciplines of science, technology, engineering and mathematics. Science Education International, 27(4), 530-569.

    Google Scholar 

  • Meece, J., Blumenfeld, P. C., Hoyle, R. H. (1988). Students’ goal orientations and cognitive engagement in classroom activities. Journal of Educational Psychology, 80, 514-523. https://doi.org/10.1037/0022-0663.80.4.514

    Google Scholar 

  • Middleton, M.J., & Midgley, C. (1997). Avoiding the demonstration of lack of ability: An underexplored aspect of goal theory. Journal of Educational Psychology, 89, 710. https://doi.org/10.1037/0022-0663.89.4.710

    Google Scholar 

  • Middleton, M.J., Kaplan, A., & Midgley, C. (2004). The change in middle school students’ achievement goals in mathematics over time. Social Psychology of Education, 7(3), 289-311.

    Google Scholar 

  • Midgley, C., & Urdan, T. (2001). Academic self-handicapping and achievement goals: A further examination. Contemporary Educational Psychology, 26(1), 61-75.

    Google Scholar 

  • Morgan, R., & Kirby, C. (2016). The UK STEM education landscape: a report for the Lloyd’s register foundation from the royal academy of engineering education and skills committee. London: Retrieved from https://www.raeng.org.uk/publications/reports/uk-stem-education-landscape

  • Mosley, P., Ardito, G., & Scollins, L. (2016). Robotic cooperative learning promotes student STEM interest. American Journal of Engineering Education, 7(2), 117-128.

    Google Scholar 

  • Murayama, K., & Elliot, A. J. (2009). The joint influence of personal achievement goals and classroom goal structures on achievement-relevant outcomes. Journal of Educational Psychology, 101, 432-447.

    Google Scholar 

  • Murphy, S., MacDonald, A., Danaia, L., & Wang, C. (2019). An analysis of Australian STEM education strategies. Policy Futures in Education, 17(2), 122-139.

    Google Scholar 

  • Myers, A. P., & Berkowicz, J. (2015). The STEM Shift. Thousand Oaks, UNITED STATES: SAGE Publications.

    Google Scholar 

  • Nagy, G., Watt, H.M.G., Eccles, J.S., Trautwein, U., Lüdtke, O., & Baumert, J. (2010). The development of students’ mathematics self-concept in relation to gender: Different countries, different trajectories? Journal of Research on Adolescence, 20(2), 482-506.

    Google Scholar 

  • National Science and Technology Council. (2013). Federal science, technology, engineering and mathematics (STEM) education: 5-year strategic plan. Washington, D.C. Retrieved from https://www.whitehouse.gov/sites/whitehouse.gov/files/ostp/Federal_STEM_Strategic_Plan.pdf

  • Nicolaou, C., Evagorou, M., & Lymbouridou, C. (2015). Elementary school students’ emotions when exploring an authentic socio-scientific issue through the use of models. Science Education International, 26(2), 240-259.

    Google Scholar 

  • Nieto Moreno de Diezmas, E., & Dondarza Manzano, P. (2016). PLEs in primary school: The learners’ experience in the Piplep Project. Digital Education Review, 29, 45-61.

    Google Scholar 

  • Nugent, G., Barker, B., Grandgenett, N., & Adamchuk, V.I. (2010). Impact of robotics and geospatial technology interventions on youth STEM learning and attitudes. Journal of Research on Technology in Education, 42(4), 391-408.

    Google Scholar 

  • O’Connor, E., & McCartney, K. (2007). Examining teacher–child relationships and achievement as part of an ecological model of development. American Educational Research Journal, 44(2), 340-369.

    Google Scholar 

  • Office of the Chief Scientist. (2013). Science, technology, engineering and mathematics in the national interest: A strategic approach. Canberra: Australia. Retrieved from http://www.chiefscientist.gov.au/wp-content/uploads/STEMstrategy290713FINALweb.pdf.

  • Office of the Chief Scientist. (2016). Australia’s STEM workforce. Canberra: Australia. Retrieved from http://www.chiefscientist.gov.au/wp-content/uploads/Australias-STEM-workforce_full-report.pdf.

  • Office of the Chief Scientist. (2017). Science and maths in Australian secondary schools. Retrieved from: http://www.chiefscientist.gov.au/wp-content/uploads/2-Science-and-Maths-in-Australian-Secondary-Schools-datasheet-Web.pdf. Accessed 12 June 2018.

  • Office of Innovation and Improvement. (2016). STEM 2026: A vision for innovation in STEM education. Retrieved from: https://innovation.ed.gov/files/2016/09/AIR-STEM2026_Report_2016.pdf. Accessed 9 Nov 2018.

  • Pajares, F., Britner, S. L., & Valiante, G. (2000). Relation between achievement goals and self-beliefs of middle school students in writing and science. Contemporary educational psychology, 25, 406-422. https://doi.org/10.1006/ceps.1999.1027

    Google Scholar 

  • Patrick, H., Ryan, A. M., & Kaplan, A. (2007). Early adolescents’ perceptions of the classroom social environment, motivational beliefs, and engagement. Journal of Educational Psychology, 99(1), 83.

    Google Scholar 

  • Patrick, H., Mantzicopoulos, P., & Samarapungavan, A. (2009). Motivation for learning science in kindergarten: Is there a gender gap and does integrated inquiry and literacy instruction make a difference. Journal of Research in Science Teaching, 46(2), 166-191.

    Google Scholar 

  • Pekrun, R., & Linnenbrink-Garcia, L. (2012). Academic emotions and student engagement. In S.L. Christenson, A.L. Reschly, & C. Wylie (Eds.), handbook of research on student engagement (pp. 259-282). New York: Springer.

    Google Scholar 

  • Pekrun, R., Goetz, T., Titz, W., & Perry, R.P. (2002). Academic emotions in students’ self-regulated learning and achievement: A program of qualitative and quantitative research. Educational Psychologist, 37(2), 91-105.

    Google Scholar 

  • Pekrun, R., Elliot, A. J., Maier, M. A. (2006). Achievement goals and discrete achievement emotions: A theoretical model and prospective test. Journal of Educational Psychology, 98, 583-597.

    Google Scholar 

  • Pekrun, R., Elliot, A. J., Maier, M. A. (2009). Achievement goals and achievement emotions: Testing a model of their joint relations with academic performance. Journal of Educational Psychology, 101, 115-135.

    Google Scholar 

  • Pekrun, R., Lichtenfeld, S., Marsh, H.W., Murayama, K., & Goetz, T. (2017). Achievement emotions and academic performance: Longitudinal models of reciprocal effects. Child Development. https://doi.org/10.1111/cdev.12704

  • Petersen, J. L., & Hyde, J. S. (2017). Trajectories of self-perceived math ability, utility value and interest across middle school as predictors of high school math performance. Educational Psychology, 37, 438-456. https://doi.org/10.1080/01443410.2015.1076765

    Google Scholar 

  • Pintrich, P. R. (2000). The role of goal orientation in self–regulated learning. In M. Boekaerts, P. Pintrich, & M. Zeidner (Eds.), Handbook of self–regulation (pp. 451–502). San Diego: Academic Press.

    Google Scholar 

  • Reeve, J. (2009). Why teachers adopt a controlling motivating style toward students and how they can become more autonomy supportive. Educational Psychologist, 44(3), 159-175.

    Google Scholar 

  • Robnett, R. D., & Leaper, C. (2013). Friendship groups, personal motivation, and gender in relation to high school students’ STEM career interest. Journal of Research on Adolescence, 23, 652-664. https://doi.org/10.1111/jora.12013

    Google Scholar 

  • Rosenzweig, E., & Wigfield, A. (2016). STEM motivation interventions for adolescents: A promising start, but further to go. Educational Psychologist, 51(2), 146-163.

    Google Scholar 

  • Ryan, R.M., & Deci, E.L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68-78.

    Google Scholar 

  • Schukajlow, S., & Rakoczy, K. (2016). The power of emotions: Can enjoyment and boredom explain the impact of individual preconditions and teaching methods on interest and performance in mathematics? Learning and Instruction, 44, 117-127.

    Google Scholar 

  • Schunk, D. H., Pintrich, P. R., & Meece, J. L. (2008). Motivation in education: Theory, research, and applications. Upper Saddle River, NJ: Merrill Prentice Hall.

    Google Scholar 

  • Shanahan, M., Burke, L. E., & Francis, K. (2016). Using a boundary object perspective to reconsider the meaning of STEM in a Canadian context. Canadian Journal of Science, Mathematics and Technology Education, 16(2), 129-139.

    Google Scholar 

  • Simon, R.A., Aulls, M.W., Dedic, H., Hubbard, K., & Hall, N.C. (2015). Exploring student persistence in STEM programs: A motivational model. Canadian Journal of Education, 38(1).

  • Skaalvik, E. (1997). Self-enhancing and self-defeating ego orientation: Relations with task and avoidance orientation, achievement, self-perceptions, and anxiety. Journal of Educational Psychology, 89, 71-81. https://doi.org/10.1037/0022-0663.89.1.71

    Google Scholar 

  • Sorvo, R., Koponen, T., Viholainen, H., Aro, T., Räikkönen, E., Peura, P., Dowker, A., & Aro, M. (2017). Math anxiety and its relationship with basic arithmetic skills among primary school children. British Journal of Educational Psychology, 87, 309-327.

    Google Scholar 

  • Spilt, J.L., Hughes, J.N., Wu, J.Y., & Kwok, O.M. (2012). Dynamics of teacher–student relationships: Stability and change across elementary school and the influence on children’s academic success. Child Development, 83(4), 1180-1195.

    Google Scholar 

  • Stefanou, C.R., Perencevich, K.C., DiCintio, M., & Turner, J.C. (2004). Supporting autonomy in the classroom: Ways teachers encourage student decision making and ownership. Educational Psychologist, 39(2), 97-110.

    Google Scholar 

  • Sutton, R.E., & Wheatley, K.F. (2003). Teachers’ emotions and teaching: A review of the literature and directions for future research. Educational Psychology Review, 15(4), 327-358.

    Google Scholar 

  • Thomson, S., De Bortoli, L., & Underwood, C. (2016). PISA 2015: A first look at Australia’s results. Retrieved from Victoria, Australia: Retrieved from http://research.acer.edu.au/cgi/viewcontent.cgi?article=1021&context=ozpisa

  • Thomson, S., De Bortoli, L., & Underwood, C. (2017a). PISA 2015: Reporting Australia's results. Retrieved from Camberwell, Victoria: https://research.acer.edu.au/ozpisa/22/

  • Thomson, S., Wernert, N., O'Grady, E., & Rodrigues, S. (2017b). TIMSS 2015: Reporting Australia’s results. Retrieved from Camberwell, Victoria: https://research.acer.edu.au/timss_2015/2/

  • Tsai, Y-M., Kunter, M., Lüdtke, O., Trautwein, U., & Ryan, R.M. (2008). What makes lessons interesting? The role of situational and individual factors in three school subjects. Journal of Educational Psychology, 100(2), 460-472.

    Google Scholar 

  • Tzohar-Rozen, M., & Kramarski, B. (2014). Metacognition, motivation, and emotions: Contribution of self-regulated learning to solving mathematical problems. Global Education Review, 1(4), 76-95.

    Google Scholar 

  • Urdan, T. (2004). Predictors of academic self-handicapping and achievement: Examining achievement goals, classroom goal structures, and culture. Journal of Educational Psychology, 96, 251-264. https://doi.org/10.1037/0022-0663.96.2.251

    Google Scholar 

  • Vansteenkiste, M., Lens, W., & Deci, E.L. (2006). Intrinsic versus extrinsic goal contents in self-determination theory: Another look at the quality of academic motivation. Educational Psychologist, 41(1), 19-31.

    Google Scholar 

  • Vrugt, A., & Oort, F. J. (2008). Metacognition, achievement goals, study strategies and academic achievement: pathways to achievement. Metacognition Learning, 30, 123-146.

    Google Scholar 

  • Wang, M. T., & Degol, J. (2013). Motivational pathways to STEM career choices: Using expectancy–value perspective to understand individual and gender differences in STEM fields. Developmental Review, 33, 304-340. https://doi.org/10.1016/j.dr.2013.08.001

    Google Scholar 

  • Wang, M-T., & Holcombe, R. (2010). Adolescents’ perceptions of school environment, engagement, and academic achievement in middle school. American Educational Research Journal, 47(3), 633-662.

    Google Scholar 

  • Wang, C., Hatzigianni, M., Shahaeian, A., Murray, E., & Harrison, L. J. (2016). The combined effects of teacher-child and peer relationships on children's social-emotional adjustment. Journal of School Psychology, 59, 1-11. https://doi.org/10.1016/j.jsp.2016.09.003.

  • Wang, C., Harrison, L. J., McLeod, S., Walker, S., & Spilt, J. L. (2017). Can teacher–child relationships support human rights to freedom of opinion and expression, education and participation? International Journal of Speech-Language Pathology. https://doi.org/10.1080/17549507.2018.1408855.

  • Wegner, C., Strehlke, F., & Weber, P. (2014). Investigating the differences between girls and boys regarding the factors of frustration, boredom and insecurity they experience during science lessons. Themes in Science and Technology Education, 7(1), 35-45.

    Google Scholar 

  • Wolters, C.A. (2004). Advancing achievement goal theory: Using goal structures and goal orientations to predict students' motivation, cognition, and achievement. Journal of Educational Psychology, 96(2), 236-250.

    Google Scholar 

  • Wolters, C.A., Yu, S.L., & Pintrich, P.R. (1996). The relation between goal orientation and students’ motivational beliefs and self-regulated learning. Learning and Individual Differences, 8(3), 211-238.

    Google Scholar 

  • Zusho, A., Pintrich, P. R., Cortina, K. S. (2005). Motives, goals, and adaptive patterns of performance in Asian American and Anglo American students. Learning and Individual Differences, 15, 141-158.

    Google Scholar 

Download references

Acknowledgements

The authors would like to acknowledge Paige Lee for her assistance in conducting this review.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Amy MacDonald.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Murphy, S., MacDonald, A., Wang, C.A. et al. Towards an Understanding of STEM Engagement: a Review of the Literature on Motivation and Academic Emotions. Can. J. Sci. Math. Techn. Educ. 19, 304–320 (2019). https://doi.org/10.1007/s42330-019-00054-w

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s42330-019-00054-w

Keywords

Navigation