The interplay between self-determined motivation, self-regulated cognitive strategies, and prior achievement in predicting academic performance

References

• Alivernini, F., & Lucidi, F. (2008). The Academic Motivation Scale (AMS): Factorial structure, invariance and validity in the Italian context. Testing, Psychometrics, Methodology in Applied Psychology, 15, 211–220. doi:10.4473/TPM.15.4.3
   Google Scholar
• Alivernini, F., Lucidi, F., & Manganelli, S. (2008). Assessment of academic motivation: A mixed method study. International Journal of Multiple Research Approaches, 2(1), 71–82. doi:10.5172/mra.455.2.1.71
   Google Scholar
• Alivernini, F., & Manganelli, S. (2015). Country, school and students factors associated with extreme levels of science literacy across 25 countries. International Journal of Science Education, 37, 1992–2012. doi:10.1080/09500693.2015.1060648
   Web of Science ®Google Scholar
• Alivernini, F., & Manganelli, S. (2016). The classmates social isolation questionnaire (CSIQ): An initial validation. European Journal of Developmental Psychology, 13, 264–274. doi:10.1080/17405629.2016.1152174
   Web of Science ®Google Scholar
• Alivernini, F., Manganelli, S., Cavicchiolo, E., Girelli, L., Biasi, V., & Lucidi, F. (2018): Immigrant background and gender differences in primary students' motivations toward studying. The Journal of Educational Research, 111, 603–611. doi:10.1080/00220671.2017.1349073
   Web of Science ®Google Scholar
• Alivernini, F., Manganelli, S., & Lucidi, F. (2016). The last shall be the first: Competencies, equity and the power of resilience in the Italian school system. Learning and Individual Differences, 51, 19–28. doi:10.1016/j.lindif.2016.08.010
   Web of Science ®Google Scholar
• Allen, J., Robbins, S. B., Casillas, A., & Oh, I. S. (2008). Third-year college retention and transfer: Effects of academic performance, motivation, and social connectedness. Research in Higher Education, 49, 647–664.
   Web of Science ®Google Scholar
• Baker, S. R. (2004). Intrinsic, extrinsic, and amotivational orientations: Their role in university adjustment, stress, well-being, and subsequent academic performance. Current Psychology, 23, 189–202. doi:10.1007/s12144-004-1019-9
   Web of Science ®Google Scholar
• Bentler, P. M. (1990). Comparative fit indices in structural equation models. Psychological Bulletin, 107, 238–246. doi:10.1037/0033-2909.107.2.238
   PubMed Web of Science ®Google Scholar
• Cano, F. (2005). Epistemological beliefs and approaches to learning: Their change through secondary school and their influence on academic performance. British Journal of Educational Psychology, 75, 203–221. doi:10.1348/000709904X22683
   PubMed Web of Science ®Google Scholar
• Cassidy, S. (2011). Self-regulated learning in higher education: Identifying key component processes. Studies in Higher Education, 36, 989–1000. doi:10.1080/03075079.2010.503269
   Web of Science ®Google Scholar
• Corkin, D. M., Horn, C., & Pattison, D. (2017). The effects of an active learning intervention in biology on college students’ classroom motivational climate perceptions, motivation, and achievement. Educational Psychology, 37, 1106–1124. doi:10.1080/01443410.2017.1324128
   Web of Science ®Google Scholar
• Credé, M., & Phillips, L. A. (2011). A meta-analytic review of the motivated strategies for learning questionnaire. Learning and Individual Differences, 21, 337–346. doi:10.1016/j.lindif.2011.03.002
   Web of Science ®Google Scholar
• Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behaviour. New York: Plenum Press.
   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, 227–268. doi:10.1207/S15327965PLI1104_01
   Web of Science ®Google Scholar
• Deci, E. L., & Ryan, R. M. (2002). Handbook of self-determination research. Rochester, NY: University of Rochester Press.
   Google Scholar
• Diseth, A. (2011). Self-efficacy, goal orientations and learning strategies as mediators between preceding and subsequent academic achievement. Learning and Individual Differences, 21, 191–195. doi:10.1016/j.lindif.2011.01.003
   Web of Science ®Google Scholar
• Diseth, A., Pallesen, S., Brunborg, G. S., & Larsen, S. (2010). Academic achievement among first semester undergraduate psychology students: The role of course experience, effort, motives and learning strategies. Higher Education, 59, 335–352. doi:10.1007/s10734-009-9251-8
   Web of Science ®Google Scholar
• Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14, 4–58. doi:10.1177/1529100612453266
   Google Scholar
• Dowson, M., & McInerney, D. M. (2004). The development and validation of the goal orientation and learning strategy survey (GOAL-S). Educational and Psychological Measurement, 64, 290–310. doi:10.1177/0013164403251335
   Web of Science ®Google Scholar
• Entwistle, N., & McCune, V. (2004). The conceptual bases of study strategy inventories. Educational Psychology Review, 16, 325–345. doi:10.1007/s10648-004-0003-0
   Web of Science ®Google Scholar
• Fenollar, P., Roman, S., & Cuestas, P. J. (2007) University students’ academic performance: An integrative conceptual framework and empirical analysis. British Journal of Educational Psychology, 77, 873–891. doi:10.1348/000709907X189118
   PubMed Web of Science ®Google Scholar
• Ferla, J., Valcke, M., & Cai, Y. (2009). Academic self-efficacy and academic self concept: Reconsidering structural relationships. Learning and Individual Differences, 19, 499−505. doi:10.1016/j.lindif.2009.05.004
   Web of Science ®Google Scholar
• Gifford, D. D., Briceño-Perriott, J., & Mianzo, F. (2006). Locus of control: Academic achievement and retention in a sample of university first-year students. Journal of College Admission, 191, 19–25.
   Google Scholar
• Guay, F., Marsh, H. W., & Boivin, M. (2003). Academic self-concept and academic achievement: Developmental perspectives and their causal ordering. Journal of Educational Psychology, 95, 124−136. doi:10.1037//0022-0663.95.1.1241
   Web of Science ®Google Scholar
• Haarala-Muhonen, A., Ruohoniemi, M., & Lindblom-Ylanne, S. (2011). Factors effecting the study pace of first-year law students: in search of study counselling tools. Studies in Higher Education, 36, 911–922. doi:10.1080/03075079.2010.488722
   Web of Science ®Google Scholar
• Heikkila, A., Niemivirta, M., Nieminen, J., & Lonka, K. (2011). Interrelations among university students’ approaches to learning, regulation of learning, and cognitive and attributional strategies: A person oriented approach. Higher Education, 61, 513–529. doi:10.1007/s10734-010-9346-2
   Web of Science ®Google Scholar
• Hu, L. T., & Bentler. P. M. (1999). Cut-off criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. doi:10.1080/10705519909540118
   Web of Science ®Google Scholar
• Joreskog, K. G., & Sorbom, D. (1993). LISREL 8: User’s guide. Chicago: Scientific Software.
   Google Scholar
• Kember, D., Leung, D. Y. P., & McNaught, C. (2008). A workshop activity to demonstrate that approaches to learning are influenced by the teaching and learning environment. Active Learning in Higher Education, 9 (1), 43–56. doi:10.1177/14697874070867451
   Google Scholar
• Kuhn, D. (1999). A developmental model of critical thinking. Educational Researcher, 28, 16–25. doi:10.3102/0013189X028002016
   Google Scholar
• Kusurkar,R. A., Ten Cate, T. J., Vos C. M. P., Westers, P., & Croiset, G. (2013). How motivation affects academic performance: A structural equation modelling analysis. Advances in Health Science Education, 18, 57–69. doi:10.1007/s10459-012-9354-3
   PubMed Web of Science ®Google Scholar
• Liu, W. C., Wang, C. K. J., Kee, Y. H., Koh, C., Lim, B. S. C., & Chua, L. (2014). College students’ motivation and learning strategies profiles and academic achievement: A self-determination theory approach. Educational Psychology, 34, 338–353. doi:10.1080/01443410.2013.785067
   Web of Science ®Google Scholar
• Manganelli, S., Alivernini, F., Mallia, L., & Biasi, V. (2015). The development and psychometric properties of the Self-Regulated Knowledge Scale – University (SRKS-U). Educational, Cultural and Psychological Studies, 12, 235–254. doi:10.7358/ecps-2015-012-mang
   Google Scholar
• Miquelon, P., Vallerand, R. J., Grouzet, F. M. E., & Cardinal, G. (2005). Perfectionism, academic motivation, and psychological adjustment: An integrative model. Personality and Social Psychology Bulletin, 31, 913–924. doi:10.1177/0146167204272298
   PubMed Web of Science ®Google Scholar
• Moseley, D., Baumfield, V., Elliott, J., Gregson, M., Higgins, S., Miller, J., & Newton, D. P. (2005). Frameworks for thinking: A handbook for teaching and learning. Cambridge: Cambridge University Press.
   Google Scholar
• Muthén, L. K., & Muthén, B. O. (1998–2012). Mplus user’s guide (7th ed). Los Angeles, CA: Muthén & Muthén
   Google Scholar
• Niemiec, C. P., & Ryan, R. M. (2009). Autonomy, competence, and relatedness in the classroom: Applying self-determination theory to educational practice. Theory and Research in Education, 7, 133–144. doi:10.1177/1477878509104318
   Web of Science ®Google Scholar
• Ning, H. K. & Downing, K. (2014). A latent profile analysis of university students’ self-regulated learning strategies. Studies in Higher Education, 40, 1328–1346. doi:10.1080/03075079.2014.880832
   Web of Science ®Google Scholar
• Phan, H. P. (2009). Relations between goals, self‐efficacy, critical thinking and deep processing strategies: A path analysis. Educational Psychology, 29, 777–799. doi:10.1080/01443410903289423
   Web of Science ®Google Scholar
• Phan, H. P. (2010). Students’ academic performance and various cognitive processes of learning: An integrative framework and empirical analysis. Educational Psychology, 30, 297–322. doi:10.1080/01443410903573297
   Web of Science ®Google Scholar
• Pike, G. R. & Saupe, J. L. (2002). Does high school matter? An analysis of three methods of predicting first-year grades. Research in Higher Education, 43, 187–207.
   Web of Science ®Google Scholar
• Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In M. Boekaerts, P.R. Pintrich, and M. Zeidner (Eds.), Handbook of Self-Regulation (pp. 451–502). San Diego, CA: Academic Press.
   Google Scholar
• Pintrich, P. R. (2003). A motivational science perspective on the role of student motivation in learning and teaching contexts. Journal of Educational Psychology, 95, 667–686. doi:10.1037/0022-0663.95.4.667
   Web of Science ®Google Scholar
• Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16: 385–407. doi:10.1007/s10648-004-0006-x
   Web of Science ®Google Scholar
• Pintrich, P. R., & Schunck, D. H. (2002). Motivation in education. New Jersey: Merrill Prentice Hall.
   Google Scholar
• Pintrich, P. R. & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology 82 (1), 33–40. doi:10.1037//0022-0663.82.1.33
   Web of Science ®Google Scholar
• Ramsden, P. (1992). Learning to teach in higher education. London: Routledge.
   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, 159–175. doi:10.1080/00461520903028990
   Web of Science ®Google Scholar
• Reeve, J. Deci, E. L., & Ryan, R. M. (2004). SDT: A dialectical framework for understanding sociocultural influences on student motivation. In D. M. McInerney, & S. Van Etten (Eds.), Big theories revisited (pp. 31–60). Greenwich: Information Age Publishing.
   Google Scholar
• Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students’ academic performance: A systematic review and meta-analysis. Psychological Bulletin, 138, 353–387. doi:10.1037/a0026838
   PubMed Web of Science ®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, 261–288. doi:10.1037/0033-2909.130.2.261
   PubMed Web of Science ®Google Scholar
• Rozendaal, J. S., Minnaert, A., & Boekaerts, M. (2003). Motivation and self-regulated learning in secondary vocational education: Information-processing type and gender differences. Learning and Individual Differences, 13, 273–289. doi:10.1016/S1041-6080(03)00016-5
   Web of Science ®Google Scholar
• Ryan, R. M., & Connell, J. P. (1989). Perceived locus of causality and internalization: Examining reasons for acting in two domains. Journal of Personality and Social Psychology, 57, 749–761. doi:10.1037//0022-3514.57.5.749
   PubMed Web of Science ®Google Scholar
• Ryan, R. M., & Deci, E. L. (2000). SDT and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55, 68–78. doi:10.1037//0003-066X.55.1.68
   PubMed Web of Science ®Google Scholar
• Sierens, E., Vansteenkiste, M., Goossens, M. L., Soenens, B., & Dochy. F. (2009). The synergistic relationship of perceived autonomy support and structure in the prediction of self-regulated learning. British Journal of Educational Psychology, 79, 57–68. doi:10.1348/000709908X304398
   PubMed Web of Science ®Google Scholar
• Soenens, B., Sierens, E., Vansteenkiste, M., Dochy, F., & Goossens, M. L. (2012). Psychologically controlling teaching: Examining outcomes, antecedents, and mediators. Journal of Educational Psychology, 104 (1), 108–120. doi:10.1037/a0025742
   Web of Science ®Google Scholar
• Stefanou, C., Stolk, J. D., Prince, M., Chen, J. C., & Lord, S. M. (2013). Self-regulation and autonomy in problem- and project-based learning environments. Active Learning in Higher Education, 14, 109–122. doi:10.1177/1469787413481132
   Web of Science ®Google Scholar
• Steiger, J. H. (1990). Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research, 25, 173–180. doi:10.1207/s15327906mbr2502_4
   PubMed Web of Science ®Google Scholar
• Stolk, J., & Harari, J. (2014). Student motivations as predictors of high-level cognitions in project-based classrooms. Active Learning in Higher Education, 15 (3), 231–247. doi:10.1177/1469787414554873
   Web of Science ®Google Scholar
• Vallerand, R. J., Pelletier, L. G., Blais, M. R., Brière, N. M., Senécal, C., & Vallières, E. F. (1992). The Academic Motivation Scale: A measure of intrinsic, extrinsic, and amotivation in education. Educational and Psychological Measurement, 52, 1003–1019. doi:10.1177/0013164492052004025
   Web of Science ®Google Scholar
• Vallerand, R. J., Pelletier, L. G., Blais, M. R., Brière, N. M., Senécal, C., & Vallières, E. F. (1993). On the assessment of intrinsic, extrinsic, and amotivation in education: Evidence on the concurrent and construct validity of the Academic Motivation Scale. Educational and Psychological Measurement, 53, 159–172. doi:10.1177/0013164493053001018
   Web of Science ®Google Scholar
• Vansteenkiste, M., Sierens, E., Soenens, B., Luyckx, K., & Lens, W. (2009). Motivational profiles froma a self-determination perspective: The quality of motivation matters. Journal of Educational Psychology, 101, 671–688. doi:10.1037/a0015083
   Web of Science ®Google Scholar
• Vansteenkiste, M., Zhou, M., Lens, W., & Soenens, B. (2005). Experiences of autonomy and control among Chinese learners: Vitalizing or immobilizing? Journal of Educational Psychology, 97, 468–483. doi:10.1037/0022-0663.97.3.468
   Web of Science ®Google Scholar
• Vermunt, J. D. (1998). The regulation of constructive learning processes. British Journal of Educational Psychology, 68, 149–171. doi:10.1111/j.2044-8279.1998.tb01281.x
   Web of Science ®Google Scholar
• Weinstein, C. E., & Palmer, D. R. (2002). Learning and study strategies inventory user manual. Clearwater, FL: H&H Publishing Company, Inc.
   Google Scholar
• Yip, M. C. W. (2007). Differences in learning and study strategies between high and low achieving university students: A Hong Kong study. Educational Psychology, 27, 597–606. doi:10.1080/01443410701309126
   Web of Science ®Google Scholar
• Zeegers, P. (2004). Student learning in higher education: A path analysis of academic achievement in science. Higher Education Research and Development, 23( 1), 35–56.
   Google Scholar
• Zimmerman, B.J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of Self-Regulation: Theory, Research, and Applications. San Diego, CA: Academic Press.
   Google Scholar
• Zimmerman, B. J., & Schunk, D. H. (2011). Self-regulated learning and performance: An introduction and an overview. In B. J. Zimmerman, & D. H. Schunk (Eds.), Handbook of Self-Regulation of Learning and Performance. New York: Routledge.
   Google Scholar