Enhancing Students’ Learning Motivation through Student-Centered Learning Approaches
Abstract
Learning motivation is a central determinant of students’ engagement, persistence, and academic success across educational levels. In recent decades, student-centered learning has been widely promoted as an instructional paradigm capable of addressing motivational shortcomings commonly associated with traditional teacher-centered approaches. However, empirical findings on its motivational effectiveness remain dispersed and vary across instructional models and educational contexts. This study aims to synthesize quantitative evidence on the impact of student-centered learning on students’ learning motivation through a comprehensive meta-analysis. Following PRISMA 2020 guidelines, a systematic search was conducted across Scopus, Web of Science, ERIC, and Google Scholar to identify peer-reviewed empirical studies published between 2005 and 2024. Forty-two studies met the inclusion criteria, representing a total sample of 6,318 students from primary, secondary, and higher education contexts across 18 countries. Effect sizes were calculated using Hedges’ g and analyzed under a random-effects model to account for between-study heterogeneity. The results reveal that student-centered learning has a statistically significant and positive effect on students’ learning motivation, with a pooled effect size of g = 0.67, indicating a moderate to strong impact. Subgroup analyses show that problem-based and project-based learning yield stronger motivational effects than collaborative and inquiry-based approaches, while longer intervention durations are associated with greater motivational gains. The findings provide robust empirical support for student-centered learning as an effective pedagogical strategy for enhancing student motivation and offer important theoretical and practical implications for instructional design, teacher professional development, and education policy.
Downloads
References
Benabou, R., & Tirole, J. (2003). Intrinsic and extrinsic motivation. Review of Economic Studies, 70(3), 489–520. https://doi.org/10.1111/1467-937X.00253
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2021). Introduction to meta-analysis (2nd ed.). Wiley.
Bransford, J. D., Brown, A. L., & Cocking, R. R. (2000). How people learn: Brain, mind, experience, and school. National Academy Press.
Chen, C. H., & Yang, Y. C. (2019). Revisiting the effects of project-based learning on students’ academic achievement: A meta-analysis. Educational Research Review, 26, 71–81. https://doi.org/10.1016/j.edurev.2018.11.001
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
DerSimonian, R., & Laird, N. (1986). Meta-analysis in clinical trials. Controlled Clinical Trials, 7(3), 177–188. https://doi.org/10.1016/0197-2456(86)90046-2
Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109–132. https://doi.org/10.1146/annurev.psych.53.100901.135153
Egger, M., Davey Smith, G., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315(7109), 629–634. https://doi.org/10.1136/bmj.315.7109.629
Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410–8415. https://doi.org/10.1073/pnas.1319030111
Hedges, L. V., & Olkin, I. (1985). Statistical methods for meta-analysis. Academic Press.
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
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003). Measuring inconsistency in meta-analyses. BMJ, 327(7414), 557–560. https://doi.org/10.1136/bmj.327.7414.557
Higgins, J. P. T., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M. J., & Welch, V. A. (2022). Cochrane handbook for systematic reviews of interventions (2nd ed.). Wiley.
Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? Educational Psychology Review, 16(3), 235–266. https://doi.org/10.1023/B:EDPR.0000034022.16470.f3
Hmelo-Silver, C. E., Duncan, R. G., & Chinn, C. A. (2007). Scaffolding and achievement in problem-based and inquiry learning. Educational Psychologist, 42(2), 99–107. https://doi.org/10.1080/00461520701263368
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. https://doi.org/10.1037/a0019682
Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work. Educational Psychologist, 41(2), 75–86. https://doi.org/10.1207/s15326985ep4102_1
Knowles, M. S., Holton, E. F., & Swanson, R. A. (2015). The adult learner (8th ed.). Routledge.
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
Niemiec, C. P., & Ryan, R. M. (2009). Autonomy, competence, and relatedness in the classroom. Theory and Research in Education, 7(2), 133–144. https://doi.org/10.1177/1477878509104318
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., … Moher, D. (2021). The PRISMA 2020 statement. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Pintrich, P. R. (2003). A motivational science perspective on the role of student motivation in learning and teaching contexts. Journal of Educational Psychology, 95(4), 667–686. https://doi.org/10.1037/0022-0663.95.4.667
Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223–231. https://doi.org/10.1002/j.2168-9830.2004.tb00809.x
Prince, M., & Felder, R. (2006). Inductive teaching and learning methods. Journal of Engineering Education, 95(2), 123–138. https://doi.org/10.1002/j.2168-9830.2006.tb00884.x
Reeve, J. (2012). A self-determination theory perspective on student engagement. Handbook of Research on Student Engagement. https://doi.org/10.1007/978-1-4614-2018-7_7
Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation (2nd ed.). Guilford Press.
Schunk, D. H., Meece, J. L., & Pintrich, P. R. (2014). Motivation in education: Theory, research, and applications (4th ed.). Pearson.
Strobel, J., & van Barneveld, A. (2009). When is PBL more effective? Interdisciplinary Journal of Problem-Based Learning, 3(1), 44–58. https://doi.org/10.7771/1541-5015.1046
Walker, A., & Leary, H. (2009). A problem based learning meta analysis. Interdisciplinary Journal of Problem-Based Learning, 3(1), 12–43. https://doi.org/10.7771/1541-5015.1048
Wigfield, A., & Eccles, J. S. (2000). Expectancy–value theory of achievement motivation. Contemporary Educational Psychology, 25(1), 68–81. https://doi.org/10.1006/ceps.1999.1015
Wigfield, A., Tonks, S., & Klauda, S. L. (2016). Expectancy-value theory. Handbook of Motivation at School (2nd ed.). Routledge.