Alexander, P. A., Kulikowich, J. M., & Jetton, T. L. (1994). The role of subject-matter knowledge and interest in the processing of linear and nonlinear texts. Review of Educational Research, 64(2), 201–252. https://doi.org/10.2307/1170694.
Article
Google Scholar
Anderman, E. M. (2020). Achievement motivation theory: Balancing precision and utility. Contemporary Educational Psychology, 61, 101864. https://doi.org/10.1016/j.cedpsych.2020.101864.
Article
Google Scholar
Antonakis, J., Bendahan, S., Jacquart, P., & Lalive, R. (2010). On making causal claims: A review and recommendations. The Leadership Quarterly, 21(6), 1086–1120. https://doi.org/10.1016/j.leaqua.2010.10.010.
Article
Google Scholar
Arens, A. K., Marsh, H. W., Pekrun, R., Lichtenfeld, S., Murayama, K., & vom Hofe, R. (2017). Math self-concept, grades, and achievement test scores: Long-term reciprocal effects across five waves and three achievement tracks. Journal of Educational Psychology,109(5), 621–634. https://doi.org/10.1037/edu0000163
Article
Google Scholar
Arens, A. K., Schmidt, I., & Preckel, F. (2019). Longitudinal relations among self-concept, intrinsic value, and attainment value across secondary school years in three academic domains. Journal of Educational Psychology, 111(4), 663–684. https://doi.org/10.1037/edu0000313.
Article
Google Scholar
Baars, M., Wijnia, L., de Bruin, A., & Paas, F. (2020). The relation between students’ effort and monitoring judgments during learning: A meta-analysis. Educational Psychology Review, 32(4), 979–1002. https://doi.org/10.1007/s10648-020-09569-3.
Article
Google Scholar
Bandura, A. (1997). Self-efficacy: The exercise of control. Henry Holt & Co..
Beauchaine, T. P. (2015). Respiratory sinus arrhythmia: A transdiagnostic biomarker of emotion dysregulation and psychopathology. Current Opinion in Psychology, 3, 43–47. https://doi.org/10.1016/j.copsyc.2015.01.017.
Article
Google Scholar
Beck, R. C. (1990). Motivation. Prentice Hall.
Becker, M., Vignoles, V. L., Owe, E., Brown, R., Smith, P. B., Easterbrook, M., Herman, G., de Sauvage, I., Bourguignon, D., Torres, A., Camino, L., Lemos, F. C. S., Ferreira, M. C., Koller, S. H., González, R., Carrasco, D., Cadena, M. P., Lay, S., Wang, Q., Bond, M. H., Trujillo, E. V., Balanta, P., Valk, A., Mekonnen, K. H., Nizharadze, G., Fülöp, M., Regalia, C., Manzi, C., Brambilla, M., Harb, C., Aldhafri, S., Martin, M., Macapagal, M. E. J., Chybicka, A., Gavreliuc, A., Buitendach, J., Gallo, I. S., Özgen, E., Güner, Ü. E., & Yamakoğlu, N. (2012). Culture and the distinctiveness motive: Constructing identity in individualistic and collectivistic contexts. Journal of Personality and Social Psychology, 102(4), 833–855. https://doi.org/10.1037/a0026853.
Article
Google Scholar
Bejjani, C., DePasque, S., & Tricomi, E. (2019). Intelligence mindset shapes neural learning signals and memory. Biological Psychology, 146, 107715. https://doi.org/10.1016/j.biopsycho.2019.06.003.
Article
Google Scholar
Berridge, K. C. (2018). Evolving concepts of emotion and motivation. Frontiers in Psychology, 9, 1647. https://doi.org/10.3389/fpsyg.2018.01647.
Article
Google Scholar
Betz, N. E., & Schifano, R. S. (2000). Evaluation of an intervention to increase realistic self-efficacy and interests in college women. Journal of Vocational Behavior, 56(1), 35–52. https://doi.org/10.1006/jvbe.1999.1690.
Article
Google Scholar
Bieg, M., Goetz, T., & Hubbard, K. (2013). Can I master it and does it matter? An intraindividual analysis on control–value antecedents of trait and state academic emotions. Learning and Individual Differences, 28, 102–108. https://doi.org/10.1016/j.lindif.2013.09.006.
Article
Google Scholar
Bong, M., & Skaalvik, E. M. (2003). Academic self-concept and self-efficacy: How different are they really? Educational Psychology Review, 15(1), 1–40. https://doi.org/10.1023/A:1021302408382.
Article
Google Scholar
Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16(1), 5–13. https://doi.org/10.1002/wps.20375.
Article
Google Scholar
Bossaert, G., Doumen, S., Buyse, E., & Verschueren, K. (2011). Predicting children’s academic achievement after the transition to first grade: A two-year longitudinal study. Journal of Applied Developmental Psychology, 32(2), 47–57. https://doi.org/10.1016/j.appdev.2010.12.002.
Article
Google Scholar
Brehm, J. W., & Self, E. S. (1989). The intensity of motivation. Annual Review of Psychology, 40, 109–131. https://doi.org/10.1146/annurev.ps.40.020189.000545.
Article
Google Scholar
Brouwer, A.-M., Hogervorst, M. A., van Erp, J. B. F., Heffelaar, T., Zimmerman, P. H., & Oostenveld, R. (2012). Estimating workload using EEG spectral power and ERPs in the n-back task. Journal of Neural Engineering, 9(4), 045008. https://doi.org/10.1088/1741-2560/9/4/045008.
Article
Google Scholar
Brouwer, A.-M., Hogervorst, M. A., Holewijn, M., & van Erp, J. B. F. (2014). Evidence for effects of task difficulty but not learning on neurophysiological variables associated with effort. International Journal of Psychophysiology, 93(2), 242–252. https://doi.org/10.1016/j.ijpsycho.2014.05.004.
Article
Google Scholar
Brown, B. B., & Larson, J. (2009). Peer Relationships in Adolescence. In R. M. Lerner & L. Steinberg (Eds.), Handbook of Adolescent Psychology (Vol. 2). John Wiley & Sons, Inc. https://doi.org/10.1002/9780470479193.adlpsy002004
Brunner, M., Keller, U., Dierendonck, C., Reichert, M., Ugen, S., Fischbach, A., & Martin, R. (2010). The structure of academic self-concepts revisited: The nested Marsh/Shavelson model. Journal of Educational Psychology, 102(4), 964–981. https://doi.org/10.1037/a0019644.
Article
Google Scholar
Burnette, J. L., O’Boyle, E. H., VanEpps, E. M., Pollack, J. M., & Finkel, E. J. (2013). Mind-sets matter: A meta-analytic review of implicit theories and self-regulation. Psychological Bulletin, 139(3), 655–701. https://doi.org/10.1037/a0029531.
Article
Google Scholar
Burns, R. A., Crisp, D. A., & Burns, R. B. (2020). Re-examining the reciprocal effects model of self-concept, self-efficacy, and academic achievement in a comparison of the cross-lagged panel and random-intercept cross-lagged panel frameworks. British Journal of Educational Psychology, 90(1), 77–91. https://doi.org/10.1111/bjep.12265.
Article
Google Scholar
Carver, C. S., & White, T. L. (1994). Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS Scales. Journal of Personality and Social Psychology, 67(2), 319–333. https://doi.org/10.1037/0022-3514.67.2.319.
Article
Google Scholar
Casey, B. J. (2015). Beyond simple models of self-control to circuit-based accounts of adolescent behavior. Annual Review of Psychology, 66(1), 295–319. https://doi.org/10.1146/annurev-psych-010814-015156.
Article
Google Scholar
Cavanagh, J. F., & Frank, M. J. (2014). Frontal theta as a mechanism for cognitive control. Trends in Cognitive Sciences, 18(8), 414–421. https://doi.org/10.1016/j.tics.2014.04.012.
Article
Google Scholar
Chamorro-Premuzic, T., Harlaar, N., Greven, C. U., & Plomin, R. (2010). More than just IQ: A longitudinal examination of self-perceived abilities as predictors of academic performance in a large sample of UK twins. Intelligence, 38(4), 385–392. https://doi.org/10.1016/j.intell.2010.05.002.
Article
Google Scholar
Chen, W. W., & Wong, Y. L. (2015). Chinese mindset: Theories of intelligence, goal orientation and academic achievement in Hong Kong students. Educational Psychology, 35(6), 714–725. https://doi.org/10.1080/01443410.2014.893559.
Article
Google Scholar
Chen, S.-K., Yeh, Y.-C., Hwang, F.-M., & Lin, S. S. J. (2013). The relationship between academic self-concept and achievement: A multicohort–multioccasion study. Learning and Individual Differences, 23, 172–178. https://doi.org/10.1016/j.lindif.2012.07.021.
Article
Google Scholar
Chiu, M. M., & Klassen, R. M. (2010). Relations of mathematics self-concept and its calibration with mathematics achievement: Cultural differences among fifteen-year-olds in 34 countries. Learning and Instruction, 20(1), 2–17. https://doi.org/10.1016/j.learninstruc.2008.11.002.
Article
Google Scholar
Cleary, T. J., & Zimmerman, B. J. (2012). A cyclical self-regulatory account of student engagement: Theoretical foundations and applications. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of Research on Student Engagement (pp. 237–257). Springer US. https://doi.org/10.1007/978-1-4614-2018-7_11.
Cohen, G. L., Garcia, J., Purdie-Vaughns, V., Apfel, N., & Brzustoski, P. (2009). Recursive processes in self-affirmation: Intervening to close the minority achievement gap. Science, 324(5925), 400–403. https://doi.org/10.1126/science.1170769.
Article
Google Scholar
Collie, R. J., Martin, A. J., Malmberg, L.-E., Hall, J., & Ginns, P. (2015). Academic buoyancy, student’s achievement, and the linking role of control: A cross-lagged analysis of high school students. British Journal of Educational Psychology, 85(1), 113–130. https://doi.org/10.1111/bjep.12066.
Article
Google Scholar
Covington, M. V. (2000). Goal theory, motivation, and school achievement: An integrative review. Annual Review of Psychology, 51(1), 171–200. https://doi.org/10.1146/annurev.psych.51.1.171.
Article
Google Scholar
Critchley, H. D. (2002). Review: Electrodermal responses: What happens in the brain. The Neuroscientist, 8(2), 132–142. https://doi.org/10.1177/107385840200800209.
Article
Google Scholar
Crone, E. A., & Dahl, R. E. (2012). Understanding adolescence as a period of social–affective engagement and goal flexibility. Nature Reviews Neuroscience, 13(9), 636–650. https://doi.org/10.1038/nrn3313.
Article
Google Scholar
Csikzentmihalyi, M. (1990). Flow: The psychology of optimal experience. Harper & Row.
Cury, F., Fonseca, D. D., Zahn, I., & Elliot, A. (2008). Implicit theories and IQ test performance: A sequential mediational analysis. Journal of Experimental Social Psychology, 44(3), 783–791. https://doi.org/10.1016/j.jesp.2007.07.003.
Article
Google Scholar
D’Mello, S. K., Craig, S. D., Witherspoon, A., McDaniel, B., & Graesser, A. (2008). Automatic detection of learner’s affect from conversational cues. User Modeling and User-Adapted Interaction, 18(1–2), 45–80. https://doi.org/10.1007/s11257-007-9037-6.
Article
Google Scholar
Dalege, J., Borsboom, D., van Harreveld, F., van den Berg, H., Conner, M., & van der Maas, H. L. J. (2016). Toward a formalized account of attitudes: The Causal Attitude Network (CAN) model. Psychological Review, 123(1), 2–22. https://doi.org/10.1037/a0039802.
Article
Google Scholar
Davidow, J. Y., Insel, C., & Somerville, L. H. (2018). Adolescent development of value-guided goal pursuit. Trends in Cognitive Sciences, 22(8), 725–736. https://doi.org/10.1016/j.tics.2018.05.003.
Article
Google Scholar
De Kraker-Pauw, E., Van Wesel, F., Krabbendam, L., & Van Atteveldt, N. (2017). Teacher mindsets concerning the malleability of intelligence and the appraisal of achievement in the context of feedback. Frontiers in Psychology, 8, 1594. https://doi.org/10.3389/fpsyg.2017.01594.
Article
Google Scholar
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.
Article
Google Scholar
Dettmers, S., Trautwein, U., & Lüdtke, O. (2009). The relationship between homework time and achievement is not universal: Evidence from multilevel analyses in 40 countries. School Effectiveness and School Improvement, 20(4), 375–405. https://doi.org/10.1080/09243450902904601.
Article
Google Scholar
Dicke, T., Marsh, H. W., Parker, P. D., Pekrun, R., Guo, J., & Televantou, I. (2018). Effects of school-average achievement on individual self-concept and achievement: Unmasking phantom effects masquerading as true compositional effects. Journal of Educational Psychology, 110(8), 1112–1126. https://doi.org/10.1037/edu0000259.
Article
Google Scholar
Doumen, S., Broeckmans, J., & Masui, C. (2014). The role of self-study time in freshmen’s achievement. Educational Psychology, 34(3), 385–402. https://doi.org/10.1080/01443410.2013.785063.
Article
Google Scholar
Duff, D., Tomblin, J. B., & Catts, H. (2015). The influence of reading on vocabulary growth: A case for a Matthew effect. Journal of Speech, Language, and Hearing Research, 58(3), 853–864. https://doi.org/10.1044/2015_JSLHR-L-13-0310.
Article
Google Scholar
Dweck, C. S. (2000). Self-theories: Their role in motivation, personality and development. Psychology Press.
Dweck, C. S. (2017). From needs to goals and representations: Foundations for a unified theory of motivation, personality, and development. Psychological Review, 124(6), 689–719. https://doi.org/10.1037/rev0000082.
Article
Google Scholar
Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109–132. https://doi.org/10.1146/annurev.psych.53.100901.135153.
Article
Google Scholar
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, 101859. https://doi.org/10.1016/j.cedpsych.2020.101859.
Article
Google Scholar
Eccles, J. S., Wigfield, A., Midgley, C., Reuman, D., Iver, D. M., & Feldlaufer, H. (1993). Negative effects of traditional middle schools on students’ motivation. The Elementary School Journal, 93(5), 553–574. https://doi.org/10.1086/461740.
Article
Google Scholar
Ehm, J.-H., Hasselhorn, M., & Schmiedek, F. (2019). Analyzing the developmental relation of academic self-concept and achievement in elementary school children: Alternative models point to different results. Developmental Psychology, 55(11), 2336–2351. https://doi.org/10.1037/dev0000796.
Article
Google Scholar
Fang, J., Huang, X., Zhang, M., Huang, F., Li, Z., & Yuan, Q. (2018). The big-fish-little-pond effect on academic self-concept: A meta-analysis. Frontiers in Psychology, 9, 1569. https://doi.org/10.3389/fpsyg.2018.01569.
Article
Google Scholar
Fink, A., Grabner, R. H., Neuper, C., & Neubauer, A. C. (2005). EEG alpha band dissociation with increasing task demands. Cognitive Brain Research, 24(2), 252–259. https://doi.org/10.1016/j.cogbrainres.2005.02.002.
Article
Google Scholar
Fong, C. J., Patall, E. A., Vasquez, A. C., & Stautberg, S. (2019). A meta-analysis of negative feedback on intrinsic motivation. Educational Psychology Review, 31(1), 121–162. https://doi.org/10.1007/s10648-018-9446-6.
Article
Google Scholar
Fraine, B., Damme, J., & Onghena, P. (2007). A longitudinal analysis of gender differences in academic self-concept and language achievement: A multivariate multilevel latent growth approach. Contemporary Educational Psychology, 32, 132–150. https://doi.org/10.1016/j.cedpsych.2006.10.005.
Article
Google Scholar
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. https://doi.org/10.1037/0012-1649.38.4.519.
Article
Google Scholar
Frijda, N. (1988). The law of emotion. American Psychologist, 43(5), 349–358. https://doi.org/10.1037//0003-066x.43.5.349.
Article
Google Scholar
Fulmer, S. M., & Frijters, J. C. (2009). A review of self-report and alternative approaches in the measurement of student motivation. Educational Psychology Review, 21(3), 219–246. https://doi.org/10.1007/s10648-009-9107-x.
Article
Google Scholar
Garon-Carrier, G., Boivin, M., Guay, F., Kovas, Y., Dionne, G., Lemelin, J.-P., Séguin, J. R., Vitaro, F., & Tremblay, R. E. (2016). Intrinsic motivation and achievement in mathematics in elementary school: A longitudinal investigation of their association. Child Development, 87(1), 165–175. https://doi.org/10.1111/cdev.12458.
Article
Google Scholar
Gaspard, H., Lauermann, F., Rose, N., Wigfield, A., & Eccles, J. S. (2020). Cross-domain trajectories of students’ ability self-concepts and intrinsic values in math and language arts. Child Development, 91(5), 1800–1818. https://doi.org/10.1111/cdev.13343.
Article
Google Scholar
Gendolla, G. H. E., & Richter, M. (2010). Effort mobilization when the self is involved: Some lessons from the cardiovascular system. Review of General Psychology, 14(3), 212–226. https://doi.org/10.1037/a0019742.
Article
Google Scholar
Gottfried, A. E., Marcoulides, G. A., Gottfried, A. W., & Oliver, P. H. (2013). Longitudinal pathways from math intrinsic motivation and achievement to math course accomplishments and educational attainment. Journal of Research on Educational Effectiveness, 6(1), 68–92. https://doi.org/10.1080/19345747.2012.698376.
Article
Google Scholar
Grafsgaard, J. F., Boyer, K. E., Phillips, R., & Lester, J. C. (2011). Modeling confusion: Facial expression, task, and discourse in task-oriented tutorial dialogue. In G. Biswas, S. Bull, J. Kay, & A. Mitrovic (Eds.), International Conference on Artificial Intelligence in Education (6738th ed., pp. 98–105). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-21869-9_15.
Grafsgaard, J. F., Wiggins, J. B., Boyer, K. E., Wiebe, E. N., & Lester, J. C. (2014). Predicting learning and affect from multimodal data streams in task-oriented tutorial dialogue. In J. Stamper, Z. Pardos, M. Mavrikis, & B. M. McLaren (Eds.), Proceedings of the 7th International Conference on Educational Data Mining (pp. 122–129). International Educational Data Mining Society. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.659.7572&rep=rep1&type=pdf. Accessed 10 July 2020.
Graham, S. (2020). An attributional theory of motivation. Contemporary Educational Psychology, 61, 101861. https://doi.org/10.1016/j.cedpsych.2020.101861.
Article
Google Scholar
Granger, C. W. J. (1980). Testing for causality: A personal viewpoint. Journal of Economic Dynamics and Control, 2, 329–352. https://doi.org/10.1016/0165-1889(80)90069-x.
Article
Google Scholar
Greene, J. A., & Azevedo, R. (2007). A theoretical review of Winne and Hadwin’s model of self-regulated learning: New perspectives and directions. Review of Educational Research, 77(3), 334–372. https://doi.org/10.3102/003465430303953.
Article
Google Scholar
Grigg, S., Perera, H. N., McIlveen, P., & Svetleff, Z. (2018). Relations among math self efficacy, interest, intentions, and achievement: A social cognitive perspective. Contemporary Educational Psychology, 53, 73–86. https://doi.org/10.1016/j.cedpsych.2018.01.007.
Article
Google Scholar
Grygiel, P., Modzelewski, M., & Pisarek, J. (2017). Academic self-concept and achievement in Polish primary schools: Cross-lagged modelling and gender-specific effects. European Journal of Psychology of Education, 32(3), 407–429. https://doi.org/10.1007/s10212-016-0300-2.
Article
Google Scholar
Guay, F., Marsh, H. W., & Boivin, M. (2003). Academic self-concept and academic achievement: Developmental perspectives on their causal ordering. Journal of Educational Psychology, 95(1), 124–136. https://doi.org/10.1037/0022-0663.95.1.124.
Article
Google Scholar
Guo, J., Marsh, H. W., Morin, A. J. S., Parker, P. D., & Kaur, G. (2015). Directionality of the associations of high school expectancy-value, aspirations, and attainment: A longitudinal study. American Educational Research Journal, 52(2), 371–402. https://doi.org/10.3102/0002831214565786.
Article
Google Scholar
Hamaker, E. L., Kuiper, R. M., & Grasman, R. P. P. P. (2015). A critique of the cross-lagged panel model. Psychological Methods, 20(1), 102–116. https://doi.org/10.1037/a0038889.
Article
Google Scholar
Hansford, B. C., & Hattie, J. A. (1982). The relationship between self and achievement/performance measures. Review of Educational Research, 52(1), 123–142. https://doi.org/10.3102/00346543052001123.
Article
Google Scholar
Harackiewicz, J. M., Durik, A. M., Barron, K. E., Linnenbrink-Garcia, L., & Tauer, J. M. (2008). The role of achievement goals in the development of interest: Reciprocal relations between achievement goals, interest, and performance. Journal of Educational Psychology, 100(1), 105–122. https://doi.org/10.1037/0022-0663.100.1.105.
Article
Google Scholar
Harackiewicz, J. M., Tibbetts, Y., Canning, E., & Hyde, J. S. (2014). Harnessing values to promote motivation in education. In S. A. Karabenick & T. C. Urdan (Eds.), Advances in Motivation and Achievement (18th ed., pp. 71–105). Emerald Group Publishing Limited. https://doi.org/10.1108/S0749-742320140000018002.
Hattie, J., Hodis, F. A., & Kang, S. H. K. (2020). Theories of motivation: Integration and ways forward. Contemporary Educational Psychology, 61, 101865. https://doi.org/10.1016/j.cedpsych.2020.101865.
Article
Google Scholar
Haynes, C., Thompson, J., Licklider, B., Hendrich, S., Thompson, K., & Wiersema, J. (2016). Mindset about intelligence and connections to student effort: Opportunities for learning and action. Natural Sciences Education, 45(1), 1–10 nse2016.0004. https://doi.org/10.4195/nse2016.0004.
Article
Google Scholar
Hebbecker, K., Förster, N., & Souvignier, E. (2019). Reciprocal effects between reading achievement and intrinsic and extrinsic reading motivation. Scientific Studies of Reading, 23(5), 419–436. https://doi.org/10.1080/10888438.2019.1598413.
Article
Google Scholar
Henrich, J., Heine, S. J., & Norenzayan, A. (2010). The weirdest people in the world? Behavioral and Brain Sciences, 33(2–3), 61–83. https://doi.org/10.1017/S0140525X0999152X.
Article
Google Scholar
Hidi, S., & Harackiewicz, J. M. (2001). Motivating the academically unmotivated: A critical issue for the 21st century. Review of Educational Research, 70(2), 151–179. https://doi.org/10.3102/00346543070002151.
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.
Article
Google Scholar
Hofman, A., Jansen, B., de Mooij, S., Stevenson, C., & van der Maas, H. (2018). A solution to the measurement problem in the idiographic approach using computer adaptive practicing. Journal of Intelligence, 6(1), 14. https://doi.org/10.3390/jintelligence6010014.
Article
Google Scholar
Höft, L., & Bernholt, S. (2019). Longitudinal couplings between interest and conceptual understanding in secondary school chemistry: An activity-based perspective. International Journal of Science Education, 41(5), 607–627. https://doi.org/10.1080/09500693.2019.1571650.
Article
Google Scholar
Holland, P. (1986). Statistics and causal inference. Journal of the American Statistical Association, 81(396), 945–960. https://doi.org/10.1080/01621459.1986.10478354.
Article
Google Scholar
Holzman, J. B., & Bridgett, D. J. (2017). Heart rate variability indices as bio-markers of top-down self-regulatory mechanisms: A meta-analytic review. Neuroscience & Biobehavioral Reviews, 74, 233–255. https://doi.org/10.1016/j.neubiorev.2016.12.032.
Article
Google Scholar
Huang, C. (2011). Self-concept and academic achievement: A meta-analysis of longitudinal relations. Journal of School Psychology, 49(5), 505–528. https://doi.org/10.1016/j.jsp.2011.07.001.
Article
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? Psychological Bulletin, 136(3), 422–449. https://doi.org/10.1037/a0018947.
Article
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(2), 509–527. https://doi.org/10.1111/1467-8624.00421.
Article
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. https://doi.org/10.1016/j.lindif.2012.12.014.
Article
Google Scholar
Järvenoja, H., Järvelä, S., Törmänen, T., Näykki, P., Malmberg, J., Kurki, K., Mykkänen, A., & Isohätälä, J. (2018). Capturing motivation and emotion regulation during a learning process. Frontline Learning Research, 6(3), 85–104. https://doi.org/10.14786/flr.v6i3.369.
Article
Google Scholar
Kelley, N. J., Hortensius, R., Schutter, D. J. L. G., & Harmon-Jones, E. (2017). The relationship of approach/avoidance motivation and asymmetric frontal cortical activity: A review of studies manipulating frontal asymmetry. International Journal of Psychophysiology, 119, 19–30. https://doi.org/10.1016/j.ijpsycho.2017.03.001.
Article
Google Scholar
Kerdijk, W., Cohen-Schotanus, J., Mulder, B. F., Muntinghe, F. L. H., & Tio, R. A. (2015). Cumulative versus end-of-course assessment: Effects on self-study time and test performance. Medical Education, 49(7), 709–716. https://doi.org/10.1111/medu.12756.
Article
Google Scholar
Kleinginna, P. R., & Kleinginna, A. M. (1981). A categorized list of emotion definitions, with suggestions for a consensual definition. Motivation and Emotion, 5(4), 345–379. https://doi.org/10.1007/BF00992553.
Article
Google Scholar
Klimesch, W. (2012). Alpha-band oscillations, attention, and controlled access to stored information. Trends in Cognitive Sciences, 16(12), 606–617. https://doi.org/10.1016/j.tics.2012.10.007.
Article
Google Scholar
Koenka, A. C. (2020). Academic motivation theories revisited: An interactive dialog between motivation scholars on recent contributions, underexplored issues, and future directions. Contemporary Educational Psychology, 61, 101831. https://doi.org/10.1016/j.cedpsych.2019.101831.
Article
Google Scholar
Kool, W., & Botvinick, M. (2018). Mental labour. Nature Human Behaviour, 2(12), 899–908. https://doi.org/10.1038/s41562-018-0401-9.
Article
Google Scholar
Koriat, A., Ma’ayan, H., & Nussinson, R. (2006). The intricate relationships between monitoring and control in metacognition: Lessons for the cause-and-effect relation between subjective experience and behavior. Journal of Experimental Psychology: General, 135(1), 36–69. https://doi.org/10.1037/0096-3445.135.1.36.
Article
Google Scholar
Kuhl, J. (1984). Volitional aspects of achievement motivation and learned helplessness: Toward a comprehensive theory of action control. In B. A. Maher & W. B. Maher (Eds.), Progress in Experimental Personality Research (13th ed., pp. 99–171). Elsevier. https://doi.org/10.1016/B978-0-12-541413-5.50007-3.
Ladd, G. W., Herald-Brown, S. L., & Kochel, K. P. (2009). Peers and motivation. In K. R. Wenzel & A. Wigfield (Eds.), Handbook of motivation at school (pp. 323–348). Routledge/Taylor & Francis Group.
Lanfranchi, P. A., Pépin, J.-L., & Somers, V. K. (2017). Cardiovascular Physiology. In Principles and Practice of Sleep Medicine (pp. 142–154.e4). Elsevier. https://doi.org/10.1016/B978-0-323-24288-2.00014-3.
Lazarus, R. S. (1999). Hope: An emotion and a vital coping resource against despair. Social Research, 66(2), 653–678.
Google Scholar
Lazowski, R. A., & Hulleman, C. S. (2016). Motivation interventions in education: A meta-analytic review. Review of Educational Research, 86(2), 602–640. https://doi.org/10.3102/0034654315617832.
Article
Google Scholar
Lüftenegger, M., & Chen, J. A. (2017). Conceptual issues and assessment of implicit theories. Zeitschrift für Psychologie, 225(2), 99–106. https://doi.org/10.1027/2151-2604/a000286.
Article
Google Scholar
Lumley, M. A., Gustavson, B. J., Partridge, R. T., & Labouvie-Vief, G. (2005). Assessing alexithymia and related emotional ability constructs using multiple methods: Interrelationships among measures. Emotion, 5(3), 329–342. https://doi.org/10.1037/1528-3542.5.3.329.
Article
Google Scholar
Maehr, M. L., & Zusho, A. (2009). Achievement goal theory: The past, present, and future. In K. R. Wenzel & A. Wigfield (Eds.), Handbook of motivation at school (pp. 77–104). Routledge/Taylor & Francis Group.
Marsh, H. W., & Craven, R. G. (2006). Reciprocal effects of self-concept and performance from a multidimensional perspective: Beyond seductive pleasure and unidimensional perspectives. Perspectives on Psychological Science, 1(2), 133–163. https://doi.org/10.1111/j.1745-6916.2006.00010.x.
Article
Google Scholar
Marsh, H. W., & Martin, A. J. (2011). Academic self-concept and academic achievement: Relations and causal ordering. British Journal of Educational Psychology, 81(1), 59–77. https://doi.org/10.1348/000709910X503501.
Article
Google Scholar
Marsh, H. W., & O’Neill, R. (1984). Self description questionnaire III: The construct validity of multidimensional self-concept ratings by late adolescents. Journal of Educational Measurement, 21(2), 153–174. https://doi.org/10.1111/j.1745-3984.1984.tb00227.x.
Article
Google Scholar
Marsh, H. W., Byrne, B. M., & Yeung, A. S. (1999). Causal ordering of academic self-concept and achievement: Reanalysis of a pioneering study and revised recommendations. Educational Psychologist, 34(3), 155–167. https://doi.org/10.1207/s15326985ep3403_2.
Article
Google Scholar
Marsh, H. W., Craven, R. G., Hinkley, J. W., & Debus, R. L. (2003). Evaluation of the big-two-factor theory of academic motivation orientations: An evaluation of Jingle-Jangle Fallacies. Multivariate Behavioral Research, 38(2), 189–224. https://doi.org/10.1207/S15327906MBR3802_3.
Article
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 Development, 76(2), 397–416. https://doi.org/10.1111/j.1467-8624.2005.00853.x.
Article
Google Scholar
Marsh, H. W., Pekrun, R., Lichtenfeld, S., Guo, J., Arens, A. K., & Murayama, K. (2016). Breaking the double-edged sword of effort/trying hard: Developmental equilibrium and longitudinal relations among effort, achievement, and academic self-concept. Developmental Psychology, 52(8), 1273–1290. https://doi.org/10.1037/dev0000146.
Article
Google Scholar
Marsh, H. W., Pekrun, R., Murayama, K., Arens, A. K., Parker, P. D., Guo, J., & Dicke, T. (2018). An integrated model of academic self-concept development: Academic self-concept, grades, test scores, and tracking over 6 years. Developmental Psychology, 54(2), 263–280. https://doi.org/10.1037/dev0000393.
Article
Google Scholar
Martin, A. J. (2009). Motivation and engagement across the academic life span: A developmental construct validity study of elementary school, high school, and university/college students. Educational and Psychological Measurement, 69(5), 794–824. https://doi.org/10.1177/0013164409332214.
Article
Google Scholar
Massin, O. (2017). Towards a definition of efforts. Motivation Science, 3(3), 230–259. https://doi.org/10.1037/mot0000066.
Article
Google Scholar
McNeish, D., & Hamaker, E. L. (2019). A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus. Psychological Methods, 25(5), 610–635. https://doi.org/10.31234/osf.io/j56bm.
Article
Google Scholar
Mega, C., Ronconi, L., & De Beni, R. (2014). What makes a good student? How emotions, self-regulated learning, and motivation contribute to academic achievement. Journal of Educational Psychology, 106(1), 121–131. https://doi.org/10.1037/a0033546.
Article
Google Scholar
Mendes, W. B. (2016). Comment: Looking for affective meaning in “Multiple Arousal” theory: A comment to Picard, Fedor, and Ayzenberg. Emotion Review, 8(1), 77–79. https://doi.org/10.1177/1754073914565521.
Article
Google Scholar
Miyamoto, A., Pfost, M., & Artelt, C. (2018). Reciprocal relations between intrinsic reading motivation and reading competence: A comparison between native and immigrant students in Germany: Reading Motivation and Reading Competence. Journal of Research in Reading, 41(1), 176–196. https://doi.org/10.1111/1467-9817.12113.
Article
Google Scholar
Molden, D. C., & Dweck, C. S. (2006). Finding “meaning” in psychology: A lay theories approach to self-regulation, social perception, and social development. American Psychologist, 61(3), 192–203. https://doi.org/10.1037/0003-066X.61.3.192.
Article
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. Review of Educational Research, 79(3), 1129–1167. https://doi.org/10.3102/0034654309337522.
Article
Google Scholar
Möller, J., Retelsdorf, J., Köller, O., & Marsh, H. W. (2011). The reciprocal Internal/External Frame of Reference model: An integration of models of relations between academic achievement and self-concept. American Educational Research Journal, 48(6), 1315–1346. https://doi.org/10.3102/0002831211419649.
Article
Google Scholar
Molloy, L. E., Gest, S. D., & Rulison, K. L. (2011). Peer influences on academic motivation: Exploring multiple methods of assessing youths’ most “influential” peer relationships. The Journal of Early Adolescence, 31(1), 13–40. https://doi.org/10.1177/0272431610384487.
Article
Google Scholar
Mumm, J., & Mutlu, B. (2011). Designing motivational agents: The role of praise, social comparison, and embodiment in computer feedback. Computers in Human Behavior, 27(5), 1643–1650. https://doi.org/10.1016/j.chb.2011.02.002.
Article
Google Scholar
Murayama, K., Pekrun, R., Lichtenfeld, S., & vom Hofe, R. (2013). Predicting long-term growth in students’ mathematics achievement: The unique contributions of motivation and cognitive strategies. Child Development, 84(4), 1475–1490. https://doi.org/10.1111/cdev.12036.
Article
Google Scholar
Narciss, S., & Huth, K. (2006). Fostering achievement and motivation with bug-related tutoring feedback in a computer-based training for written subtraction. Learning and Instruction, 16(4), 310–322. https://doi.org/10.1016/j.learninstruc.2006.07.003.
Article
Google Scholar
Nelson, T. O., & Leonesio, R. J. (1988). Allocation of self-paced study time and the “Labor-in-Vain Effect.”. Journal of Experimental Psychology: Learning, Memory, and Cognition, 14(4), 676–686. https://doi.org/10.1037/0278-7393.14.4.676.
Article
Google Scholar
Nesselroade, J. R. (1991). Interindividual differences in intraindividual change. In L. M. Collins & J. L. Horn (Eds.), Best methods for the analysis of change: Recent advances, unanswered questions, future directions (pp. 92–105). American Psychological Association. https://doi.org/10.1037/10099-006.
Niemivirta, M., & Tapola, A. (2007). Self-efficacy, interest, and task performance: Within-task changes, mutual relationships, and predictive effects. Zeitschrift Für Pädagogische Psychologie, 21(3/4), 241–250. https://doi.org/10.1024/1010-0652.21.3.241.
Article
Google Scholar
Niepel, C., Brunner, M., & Preckel, F. (2014a). The longitudinal interplay of students’ academic self-concepts and achievements within and across domains: Replicating and extending the reciprocal internal/external frame of reference model. Journal of Educational Psychology, 106(4), 1170–1191. https://doi.org/10.1037/a0036307.
Article
Google Scholar
Niepel, C., Brunner, M., & Preckel, F. (2014b). Achievement goals, academic self-concept, and school grades in mathematics: Longitudinal reciprocal relations in above average ability secondary school students. Contemporary Educational Psychology, 39(4), 301–313. https://doi.org/10.1016/j.cedpsych.2014.07.002.
Article
Google Scholar
Nolen, S., & Ward, C. (2008). Sociocultural and situative approaches to studying motivation. In In Advances in motivation and achievement (15th ed., pp. 425–460). Emerald Group Publishing Limited. https://doi.org/10.1016/S0749-7423(08)15013-0.
Nuutila, K., Tuominen, H., Tapola, A., Vainikainen, M.-P., & Niemivirta, M. (2018). Consistency, longitudinal stability, and predictions of elementary school students’ task interest, success expectancy, and performance in mathematics. Learning and Instruction, 56, 73–83. https://doi.org/10.1016/j.learninstruc.2018.04.003.
Article
Google Scholar
Nye, B. D., Karumbaiah, S., Tokel, S. T., Core, M. G., Stratou, G., Auerbach, D., & Georgila, K. (2018). Engaging with the scenario: Affect and facial patterns from a scenario-based intelligent tutoring system. In C. P. Rosé, R. Martínez-Maldonado, H. U. Hoppe, R. Luckin, M. Mavrikis, K. Porayska-Pomsta, B. McLaren, & B. du Boulay (Eds.), Artificial Intelligence in Education (10947th ed., pp. 352–366). Springer International Publishing. https://doi.org/10.1007/978-3-319-93843-1_26.
OECD. (2016). Netherlands 2016: Foundations for the future, Reviews of National Policies for Education. OECD Publishing Paris. https://doi.org/10.1787/9789264257658-en.
Pekrun, R. (2006). The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review, 18(4), 315–341. https://doi.org/10.1007/s10648-006-9029-9.
Article
Google Scholar
Pekrun, R., Vogl, E., Muis, K. R., & Sinatra, G. M. (2017). Measuring emotions during epistemic activities: The epistemically-related emotion scales. Cognition and Emotion, 31(6), 1268–1276. https://doi.org/10.1080/02699931.2016.1204989.
Article
Google Scholar
Pinxten, M., Marsh, H. W., De Fraine, B., Van Den Noortgate, W., & Van Damme, J. (2014). Enjoying mathematics or feeling competent in mathematics? Reciprocal effects on mathematics achievement and perceived math effort expenditure. British Journal of Educational Psychology, 84(1), 152–174. https://doi.org/10.1111/bjep.12028.
Article
Google Scholar
Plant, E. A., Ericsson, K. A., Hill, L., & Asberg, K. (2005). Why study time does not predict grade point average across college students: Implications of deliberate practice for academic performance. Contemporary Educational Psychology, 30(1), 96–116. https://doi.org/10.1016/j.cedpsych.2004.06.001.
Article
Google Scholar
Pollet, T. V., & Saxton, T. K. (2019). How diverse are the samples used in the journals ‘evolution & human behavior’ and ‘evolutionary psychology’? Evolutionary Psychological Science, 5(3), 357–368. https://doi.org/10.1007/s40806-019-00192-2.
Article
Google Scholar
Putwain, D. W., Becker, S., Symes, W., & Pekrun, R. (2018). Reciprocal relations between students’ academic enjoyment, boredom, and achievement over time. Learning and Instruction, 54, 73–81. https://doi.org/10.1016/j.learninstruc.2017.08.004.
Article
Google Scholar
Rao, N., & Sachs, J. (1999). Confirmatory factor analysis of the chinese version of the motivated strategies for learning questionnaire. Educational and Psychological Measurement, 59(6), 1016–1029. https://doi.org/10.1177/00131649921970206.
Article
Google Scholar
Renninger, K. A., & Hidi, S. (2011). Revisiting the conceptualization, measurement, and generation of interest. Educational Psychologist, 46(3), 168–184. https://doi.org/10.1080/00461520.2011.587723.
Article
Google Scholar
Retelsdorf, J., Köller, O., & Möller, J. (2014). Reading achievement and reading self-concept – Testing the reciprocal effects model. Learning and Instruction, 29, 21–30. https://doi.org/10.1016/j.learninstruc.2013.07.004.
Article
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. Psychological Bulletin, 130(2), 261–288. https://doi.org/10.1037/0033-2909.130.2.261.
Article
Google Scholar
Robinaugh, D. J., Hoekstra, R. H. A., Toner, E. R., & Borsboom, D. (2020). The network approach to psychopathology: A review of the literature 2008–2018 and an agenda for future research. Psychological Medicine, 50(3), 353–366. https://doi.org/10.1017/S0033291719003404.
Article
Google Scholar
Rudolph, K. D., Lambert, S. F., Clark, A. G., & Kurlakowsky, K. D. (2001). Negotiating the transition to middle school: The role of self-regulatory processes. Child Development, 72(3), 929–946. https://doi.org/10.1111/1467-8624.00325.
Article
Google Scholar
Sachisthal, M. S. M., Jansen, B. R. J., Peetsma, T. T. D., Dalege, J., van der Maas, H., & Raijmakers, M. E. J. (2019). Introducing a science interest network model to reveal country differences. Journal of Educational Psychology, 111(6), 1063–1080. https://doi.org/10.1037/edu0000327.
Article
Google Scholar
Sachisthal, M. S. M., Jansen, B. R. J., Dalege, J., & Raijmakers, M. E. J. (2020). Relating teenagers’ science interest network characteristics to later science course enrolment: An analysis of Australian PISA 2006 and Longitudinal Surveys of Australian Youth data. Australian Journal of Education, 64(3), 264–281. https://doi.org/10.1177/0004944120957477.
Article
Google Scholar
Savi, A. O., Ruijs, N. M., Maris, G. K. J., & van der Maas, H. L. J. (2018). Delaying access to a problem-skipping option increases effortful practice: Application of an A/B test in large-scale online learning. Computers & Education, 119, 84–94. https://doi.org/10.1016/j.compedu.2017.12.008.
Article
Google Scholar
Scharmer, A. L. (2020). The Reciprocal relation of motivation and academic achievement in typically developing elementary and high-school students: A systematic review and meta-analysis of longitudinal studies [Master thesis].[masked for double blind review].
Scheiter, K., Ackerman, R., & Hoogerheide, V. (2020). Looking at mental effort appraisals through a metacognitive lens: Are they biased? Educational Psychology Review, 32(4), 1003–1027. https://doi.org/10.1007/s10648-020-09555-9.
Article
Google Scholar
Scherbaum, C. A., Cohen-Charash, Y., & Kern, M. J. (2006). Measuring general self-efficacy: A comparison of three measures using item response theory. Educational and Psychological Measurement, 66(6), 1047–1063. https://doi.org/10.1177/0013164406288171.
Article
Google Scholar
Scherrer, V., & Preckel, F. (2019). Development of motivational variables and self-esteem during the school career: A meta-analysis of longitudinal studies. Review of Educational Research, 89(2), 211–258. https://doi.org/10.3102/0034654318819127.
Article
Google Scholar
Scherrer, V., Preckel, F., Schmidt, I., & Elliot, A. J. (2020). Development of achievement goals and their relation to academic interest and achievement in adolescence: A review of the literature and two longitudinal studies. Developmental Psychology, 56(4), 795–814. https://doi.org/10.1037/dev0000898.
Article
Google Scholar
Schiefele, U. (1999). Interest and Learning From Text. Scientific Studies of Reading, 3(3), 257–279. https://doi.org/10.1207/s1532799xssr0303_4.
Article
Google Scholar
Schöber, C., Schütte, K., Köller, O., McElvany, N., & Gebauer, M. M. (2018). Reciprocal effects between self-efficacy and achievement in mathematics and reading. Learning and Individual Differences, 63, 1–11. https://doi.org/10.1016/j.lindif.2018.01.008.
Article
Google Scholar
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.
Article
Google Scholar
Scott Rigby, C., Deci, E. L., Patrick, B. C., & Ryan, R. M. (1992). Beyond the intrinsic-extrinsic dichotomy: Self-determination in motivation and learning. Motivation and Emotion, 16(3), 165–185. https://doi.org/10.1007/BF00991650.
Article
Google Scholar
Seaton, M., Parker, P., Marsh, H. W., Craven, R. G., & Yeung, A. S. (2014). The reciprocal relations between self-concept, motivation and achievement: Juxtaposing academic self-concept and achievement goal orientations for mathematics success. Educational Psychology, 34(1), 49–72. https://doi.org/10.1080/01443410.2013.825232.
Article
Google Scholar
Sewasew, D., & Koester, L. S. (2019). The developmental dynamics of students’ reading self-concept and reading competence: Examining reciprocal relations and ethnic-background patterns. Learning and Individual Differences, 73, 102–111. https://doi.org/10.1016/j.lindif.2019.05.010.
Article
Google Scholar
Sewasew, D., & Schroeders, U. (2019). The developmental interplay of academic self-concept and achievement within and across domains among primary school students. Contemporary Educational Psychology, 58, 204–212. https://doi.org/10.1016/j.cedpsych.2019.03.009.
Article
Google Scholar
Shavelson, R. J., Hubner, J. J., & Stanton, G. C. (1976). Self-concept: Validation of construct interpretations. Review of Educational Research, 46(3), 407–441. https://doi.org/10.3102/00346543046003407.
Article
Google Scholar
Sisk, V. F., Burgoyne, A. P., Sun, J., Butler, J. L., & Macnamara, B. N. (2018). To what extent and under which circumstances are growth mind-sets important to academic achievement? Two meta-analyses. Psychological Science, 29(4), 549–571. https://doi.org/10.1177/0956797617739704.
Article
Google Scholar
Skinner, E. (1995). Perceived control, motivation, & coping (8th ed.). SAGE Publications, Inc. https://doi.org/10.4135/9781483327198.
Skinner, E., Wellborn, J. G., & Connell, J. P. (1990). What It takes to do well in school and whether I’ve got it: A process model of perceived control and children’s engagement and achievement in school. Journal of Educational Psychology, 82(1), 22–32. https://doi.org/10.1037/0022-0663.82.1.22.
Article
Google Scholar
Spangler, D. P., & Friedman, B. H. (2015). Effortful control and resiliency exhibit different patterns of cardiac autonomic control. International Journal of Psychophysiology, 96(2), 95–103. https://doi.org/10.1016/j.ijpsycho.2015.03.002.
Article
Google Scholar
Taras, V., Kirkman, B., & Steel, P. (2010). Examining the impact of culture’s consequences: A three-decade, multilevel, meta-analytic review of Hofstede’s cultural value dimensions. The Journal of Applied Psychology, 95(3), 405–439. https://doi.org/10.1037/a0018938.
Article
Google Scholar
Tavakolian, K. (2016). Systolic time intervals and new measurement methods. Cardiovascular Engineering and Technology, 7(2), 118–125. https://doi.org/10.1007/s13239-016-0262-1.
Article
Google Scholar
Trautwein, U., Lüdtke, O., Marsh, H. W., & Nagy, G. (2009). Within-school social comparison: How students perceive the standing of their class predicts academic self-concept. Journal of Educational Psychology, 101(4), 853–866. https://doi.org/10.1037/a0016306.
Article
Google Scholar
Trigwell, K., Ashwin, P., & Millan, E. S. (2013). Evoked prior learning experience and approach to learning as predictors of academic achievement: Predictors of academic achievement. British Journal of Educational Psychology, 83(3), 363–378. https://doi.org/10.1111/j.2044-8279.2012.02066.x.
Article
Google Scholar
Undorf, M., & Ackerman, R. (2017). The puzzle of study time allocation for the most challenging items. Psychonomic Bulletin & Review, 24(6), 2003–2011. https://doi.org/10.3758/s13423-017-1261-4.
Article
Google Scholar
Usami, S., Murayama, K., & Hamaker, E. L. (2019). A unified framework of longitudinal models to examine reciprocal relations. Psychological Methods, 24(5), 637–657. https://doi.org/10.1037/met0000210.
Article
Google Scholar
Valentine, J. C., & Dubois, D. L. (2005). Effects of self-beliefs on academic achievement and vice versa. In H. W. Marsh, R. G. Craven, & D. M. McInerney (Eds.), International advances in self research: New frontiers for self research (2nd ed., pp. 53–78). Information Age.
Valentine, J. C., DuBois, D. L., & Cooper, H. (2004). The relation between self-beliefs and academic achievement: A meta-analytic review. Educational Psychologist, 39(2), 111–133. https://doi.org/10.1207/s15326985ep3902_3.
Article
Google Scholar
van Amelsvoort, M., & Krahmer, E. J. (2009). Appraisal of children’s facial expressions while performing mathematics problems. In N. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 1698–1703). Cognitive Science Society https://escholarship.org/uc/item/6cs1f9t5. Accessed 10 July 2020.
van der Maas, H., Dolan, C. V., Grasman, R. P. P. P., Wicherts, J. M., Huizenga, H. M., & Raijmakers, M. E. J. (2006). A dynamical model of general intelligence: The positive manifold of intelligence by mutualism. Psychological Review, 113(4), 842–861. https://doi.org/10.1037/0033-295X.113.4.842.
Article
Google Scholar
van der Maas, H., Kan, K.-J., Marsman, M., & Stevenson, C. E. (2017). Network models for cognitive development and intelligence. Journal of Intelligence, 5(2), 16. https://doi.org/10.3390/jintelligence5020016.
Article
Google Scholar
Vansteenkiste, M., Simons, J., Lens, W., Sheldon, K. M., & Deci, E. L. (2004). Motivating learning, performance, and persistence: The synergistic effects of intrinsic goal contents and autonomy-supportive contexts. Journal of Personality and Social Psychology, 87(2), 246–260. https://doi.org/10.1037/0022-3514.87.2.246.
Article
Google Scholar
Vignoles, V. L., Owe, E., Becker, M., Smith, P. B., Easterbrook, M. J., Brown, R., González, R., Didier, N., Carrasco, D., Cadena, M. P., Lay, S., Schwartz, S. J., Des Rosiers, S. E., Villamar, J. A., Gavreliuc, A., Zinkeng, M., Kreuzbauer, R., Baguma, P., Martin, M., et al. (2016). Beyond the “east-west” dichotomy: Global variation in cultural models of selfhood. Journal of Experimental Psychology. General, 145(8), 966–1000. https://doi.org/10.1037/xge0000175.
Article
Google Scholar
Viljaranta, J., Tolvanen, A., Aunola, K., & Nurmi, J.-E. (2014). The developmental dynamics between interest, self-concept of ability, and academic performance. Scandinavian Journal of Educational Research, 58(6), 734–756. https://doi.org/10.1080/00313831.2014.904419.
Article
Google Scholar
Vu, T.-V., Finkenauer, C., Huizinga, M., Novin, S., & Krabbendam, L. (2017). Do individualism and collectivism on three levels (country, individual, and situation) influence theory-of-mind efficiency? A cross-country study. PLoS One, 12(8), e0183011. https://doi.org/10.1371/journal.pone.0183011.
Article
Google Scholar
Walgermo, B. R., Foldnes, N., Uppstad, P. H., & Solheim, O. J. (2018). Developmental dynamics of early reading skill, literacy interest and readers’ self-concept within the first year of formal schooling. Reading and Writing, 31(6), 1379–1399. https://doi.org/10.1007/s11145-018-9843-8.
Article
Google Scholar
Watt, H. M. G. (2004). Development of adolescents’ self-perceptions, values, and task perceptions according to gender and domain in 7th- through 11th-grade Australian students. Child Development, 75(5), 1556–1574. https://doi.org/10.1111/j.1467-8624.2004.00757.x.
Article
Google Scholar
Weiner, B. (2010). The development of an attribution-based theory of motivation: A history of ideas. Educational Psychologist, 45(1), 28–36. https://doi.org/10.1080/00461520903433596.
Article
Google Scholar
Wigfield, A., & Koenka, A. C. (2020). Where do we go from here in academic motivation theory and research? Some reflections and recommendations for future work. Contemporary Educational Psychology, 61, 101872. https://doi.org/10.1016/j.cedpsych.2020.101872.
Article
Google Scholar
Wigfield, A., Eccles, J. S., & Rodriguez, D. (1998). The development of children’s motivation in school contexts. Review of Research in Education, 23, 73–118. JSTOR. https://doi.org/10.2307/1167288.
Article
Google Scholar
Wigfield, A., Turci, L., Cambria, J., & Eccles, J. S. (2019). Motivation in education. In R. M. Ryan (Ed.), The Oxford Handbook of Human Motivation (2nd ed.). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780190666453.013.24.
Yeager, D. S., & Walton, G. M. (2011). Social-psychological interventions in education: They’re not magic. Review of Educational Research, 81(2), 267–301. https://doi.org/10.3102/0034654311405999.
Article
Google Scholar
Yeager, D. S., Purdie-Vaughns, V., Garcia, J., Apfel, N., Brzustoski, P., Master, A., Hessert, W. T., Williams, M. E., & Cohen, G. L. (2014). Breaking the cycle of mistrust: Wise interventions to provide critical feedback across the racial divide. Journal of Experimental Psychology: General, 143(2), 804–824. https://doi.org/10.1037/a0033906.
Article
Google Scholar
Yeager, D. S., Hanselman, P., Walton, G. M., Murray, J. S., Crosnoe, R., Muller, C., Tipton, E., Schneider, B., Hulleman, C. S., Hinojosa, C. P., Paunesku, D., Romero, C., Flint, K., Roberts, A., Trott, J., Iachan, R., Buontempo, J., Yang, S. M., Carvalho, C. M., et al. (2019). A national experiment reveals where a growth mindset improves achievement. Nature, 573(7774), 364–369. https://doi.org/10.1038/s41586-019-1466-y.
Article
Google Scholar
Yu, S., & Levesque-Bristol, C. (2020). A cross-classified path analysis of the self-determination theory model on the situational, individual and classroom levels in college education. Contemporary Educational Psychology, 61, 101857. https://doi.org/10.1016/j.cedpsych.2020.101857.
Article
Google Scholar
Zwicker, M. V., Nohlen, H. U., Dalege, J., Gruter, G.-J. M., & van Harreveld, F. (2020). Applying an attitude network approach to consumer behaviour towards plastic. Journal of Environmental Psychology, 69, 101433. https://doi.org/10.1016/j.jenvp.2020.101433.
Article
Google Scholar