The Effect of Providing Lecture Recordings on Self-Regulated Learning in Online Learning
DOI:
https://doi.org/10.33394/bioscientist.v14i2.20370Keywords:
Self-regulated learning, lecture recordings, online learningAbstract
This study aimed to examine the effect of providing lecture recordings on students’ self-regulated learning (SRL) in online learning contexts characterized by unstable internet connectivity and limited access to course materials. A quasi-experimental pretest–posttest design was employed involving 52 students from the Biology Education Study Program at Tadulako University, with 26 students assigned to the control group and 26 to the treatment group. SRL data were collected using a questionnaire adapted from the Motivated Strategies for Learning Questionnaire (MSLQ), comprising five subscales: metacognition, time and study environment management, effort regulation, elaboration, and help-seeking. Students in the treatment group received YouTube links to lecture recordings via WhatsApp within 24 hours after each session, whereas those in the control group attended lectures without access to the recordings. Analysis of Covariance (ANCOVA), with pretest scores as the covariate, showed a significant difference in posttest composite SRL scores between the groups (F(1,49) = 32.806; p < 0.001; η²p = 0.401). Significant effects were also found for metacognition (η²p = 0.394), time management (η²p = 0.173), effort regulation (η²p = 0.153), and elaboration (η²p = 0.100), while help-seeking showed no significant difference. These findings suggest that providing lecture recordings through familiar and easily accessible platforms is an effective low-cost pedagogical strategy for enhancing students’ SRL in online learning environments with infrastructural constraints. Therefore, lecture recordings should be considered by lecturers and study program administrators when designing online instruction that supports students’ autonomous learning.
References
Aboagye, E., Yawson, J. A., & Appiah, K. N. (2020). COVID-19 and e-learning: The challenges of students in tertiary institutions. Social Education Research, 2(1), 1–8. https://doi.org/10.37256/ser.212021422
American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). https://doi.org/10.1037/0000165-000
Azevedo, R., & Hadwin, A. F. (2005). Scaffolding self-regulated learning and metacognition: Implications for the design of computer-based scaffolds. Instructional Science, 33, 367–379. https://doi.org/10.1007/s11251-005-1272-9
Banerjee, S. (2021). To capture the research landscape of lecture capture in university education. Computers & Education, 160, Article 104032. https://doi.org/10.1016/j.compedu.2020.104032
Barnard, L., Lan, W. Y., To, Y. M., Paton, V. O., & Lai, S.-L. (2009). Measuring self-regulation in online and blended learning environments. The Internet and Higher Education, 12(1), 1–6. https://doi.org/10.1016/j.iheduc.2008.10.005
Barnard-Brak, L., Lan, W. Y., & Paton, V. O. (2010). Profiles in self-regulated learning in the online learning environment. The International Review of Research in Open and Distributed Learning, 11(1), 61–80. https://doi.org/10.19173/irrodl.v11i1.769
Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies and academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1–13. https://doi.org/10.1016/j.iheduc.2015.04.007
Caixia, L., Bakar, Z. A., & Qianqian, A. (2025). Self-regulated learning and academic achievement in higher education: A decade systematic review. International Journal of Research and Innovation in Social Science, 9(3), 4488–4504. https://doi.org/10.47772/IJRISS.2025.90300358
Campbell, D. T., & Stanley, J. C. (1963). Experimental and quasi-experimental designs for research. Rand McNally.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
Cook, T. D., & Campbell, D. T. (1979). Quasi-experimentation: Design and analysis issues for field settings. Houghton Mifflin.
Credé, M., & Phillips, L. A. (2011). A meta-analytic review of the Motivated Strategies for Learning Questionnaire. Learning and Individual Differences, 21(4), 337–346. https://doi.org/10.1016/j.lindif.2011.03.002
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). SAGE Publications.
Diab, G. M. A. E. H., & Elgahsh, N. F. (2020). E-learning during COVID-19 pandemic: Obstacles faced by nursing students and its effect on their attitudes while applying it. American Journal of Nursing Science, 9(4), 295–309. https://doi.org/10.11648/j.ajns.20200904.33
Duncan, T. G., & McKeachie, W. J. (2005). The making of the Motivated Strategies for Learning Questionnaire. Educational Psychologist, 40(2), 117–128. https://doi.org/10.1207/s15326985ep4002_6
Faza, A., & Lestari, I. A. (2025). Self-regulated learning in the digital age: A systematic review of strategies, technologies, benefits, and challenges. The International Review of Research in Open and Distributed Learning, 26(2), 23–58. https://doi.org/10.19173/irrodl.v26i2.8119
Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). SAGE Publications.
Hattie, J. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge.
Hidayah, S. (2022). Online learning during the pandemic in Indonesia: A case study on digital divide and sociality among students. Humaniora, 34(2), 149–158.
Jansen, R. S., van Leeuwen, A., Janssen, J., Conijn, R., & Kester, L. (2020). Supporting learners’ self-regulated learning in massive open online courses. Computers & Education, 146, Article 103771. https://doi.org/10.1016/j.compedu.2019.103771
Järvelä, S., & Hadwin, A. F. (2013). New frontiers: Regulating learning in computer-supported collaborative learning. Educational Psychologist, 48(1), 25–39. https://doi.org/10.1080/00461520.2012.748006
Karabenick, S. A., & Gonida, E. N. (2018). Academic help seeking as a self-regulated learning strategy. In D. H. Schunk & J. A. Greene (Eds.), Handbook of self-regulation of learning and performance (2nd ed., pp. 421–433). Routledge. https://doi.org/10.4324/9781315697048-27
Kay, R. H. (2012). Exploring the use of video podcasts in education: A comprehensive review of the literature. Computers in Human Behavior, 28(3), 820–831. https://doi.org/10.1016/j.chb.2012.01.011
Li, C., Duan, P., Padua, S. A., & Li, C. (2022). The impact of self-regulated learning strategies on academic performance for online learning during COVID-19. Frontiers in Psychology, 13, Article 1047680. https://doi.org/10.3389/fpsyg.2022.1047680
Mayer, R. E. (2009). Multimedia learning (2nd ed.). Cambridge University Press.
Newman, R. S. (2002). How self-regulated learners cope with academic difficulty: The role of adaptive help seeking. Theory Into Practice, 41(2), 132–138. https://doi.org/10.1207/s15430421tip4102_10
Nordmann, E., Küepper-Tetzel, C. E., Robson, L., Phillipson, S., Lipan, G. I., & McGeorge, P. (2022). Lecture capture: Practical recommendations for students and instructors. Scholarship of Teaching and Learning in Psychology, 8(3), 174–193. https://doi.org/10.1037/stl0000190
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
O’Callaghan, F. V., Neumann, D. L., Jones, L., & Creed, P. A. (2017). The use of lecture recordings in higher education: A review of institutional, student, and lecturer issues. Education and Information Technologies, 22(1), 399–415. https://doi.org/10.1007/s10639-015-9451-z
OECD. (2019). Education at a glance 2019: OECD indicators. OECD Publishing. https://doi.org/10.1787/f8d7880d-en
Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 8, Article 422. https://doi.org/10.3389/fpsyg.2017.00422
Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 451–502). Academic Press. https://doi.org/10.1016/B978-012109890-2/50043-3
Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16, 385–407. https://doi.org/10.1007/s10648-004-0006-x
Pintrich, P. R., Smith, D. A. F., García, T., & McKeachie, W. J. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). University of Michigan. https://files.eric.ed.gov/fulltext/ED338122.pdf
Pintrich, P. R., Smith, D. A. F., García, T., & McKeachie, W. J. (1993). Reliability and predictive validity of the Motivated Strategies for Learning Questionnaire. Educational and Psychological Measurement, 53(3), 801–813. https://doi.org/10.1177/0013164493053003024
Sangster, A., Stoner, G., & Flood, B. (2020). Insights into accounting education in a COVID-19 world. Accounting Education, 29(5), 431–562. https://doi.org/10.1080/09639284.2020.1808487
Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin.
Topale, L. (2016). The strategic use of lecture recordings to facilitate an active and self-directed learning approach. BMC Medical Education, 16, Article 201. https://doi.org/10.1186/s12909-016-0723-0
UNICEF Indonesia. (2021). Situation analysis on digital learning in Indonesia. UNICEF Indonesia.
Voelkel, S., Bates, A., Gleave, T., Larsen, C., Stollar, E. J., Wattret, G., & Mello, L. V. (2023). Lecture capture affects student learning behaviour. FEBS Open Bio, 13(2), 217–232. https://doi.org/10.1002/2211-5463.13548
Wong, J., Baars, M., Davis, D., Van der Zee, T., Houben, G.-J., & Paas, F. (2019). Supporting self-regulated learning in online learning environments and MOOCs: A systematic review. International Journal of Human–Computer Interaction, 35(4–5), 356–373. https://doi.org/10.1080/10447318.2018.1543084
Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13–39). Academic Press. https://doi.org/10.1016/B978-012109890-2/50031-7
Zimmerman, B. J., & Schunk, D. H. (Eds.). (2011). Handbook of self-regulation of learning and performance. Routledge.
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