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UPSI Digital Repository (UDRep)
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| Abstract : Universiti Pendidikan Sultan Idris |
| Barry J Zimmerman considered that self-regulated learning is an active learning process including strategy use, metacognition, and motivation. Self-regulation failure is the core problem of academic procrastination, which seriously threatens academic success. The present research aims to provide a complete outline of SRL and catch the trends and current hotspots. VOSviewer and Bibliometric software was used to analyze the data from the Web of Science core collection database. The results showed that there are a considerable number of publications of articles on self-regulated learning every year; the USA is the most influential country, and Maastricht University is the most productive institution; it is clear that most authors do not like to cooperate with others, which leads to major groups of writers like Azevedo Roger and Gasevic Dragan. The Frontiers in Psychology is an influential journal that received much more articles and citations. The main hotspots of self-regulated learning were: (a) self-regulated learning; (b) self-regulation; (c) metacognition; (d) motivation; (e) learning analytics. In a word, this study is useful for practitioners and scholars to comprehensively understand the trend of self-regulated learning research. Copyright for this article is retained by the author(s), with first publication rights granted to the journal. |
| References |
Aguilar, S. J., Karabenick, S. A., Teasley, S. D., & Baek, C. (2021). Associations between learning analytics dashboard exposure and motivation and self-regulated learning. Computers & Education, 162. https://doi.org/10.1016/j.compedu.2020.104085 Ahn, J., Campos, F., Hays, M., & DiGiacomo, D. (2019). Designing in Context: Reaching Beyond Usability in Learning Analytics Dashboard Design. Journal of Learning Analytics, 6(2), 70-85. https://doi.org/10.18608/jla.2019.62.5 Aljohani, N. R., Davis, H. C., & Ally, M. (2016). Student-centered learning analytics dashboards to empower students to take responsibility for their learning. In Transforming education in the Gulf region, 167-177. Anthonysamy, L., Koo, A. C., & Hew, S. H. (2020b). Self-regulated learning strategies in higher education: Fostering digital literacy for sustainable lifelong learning. Education and Information Technologies, 25(4), 2393-2414. https://doi.org/10.1007/s10639-020-10201-8 Artino, A. (2007). Self-regulated learning in online education: A review of the empirical literature. International Journal of Instructional Technology and Distance Learning, 4(6), 3-18. Retrieved from http://itdl.org/Journal/Jun_07/article01.htm Azevedo, R., & Gasevic, D. (2019). Analyzing Multimodal Multichannel Data about Self-Regulated Learning with Advanced Learning Technologies: Issues and Challenges. Computers in Human Behavior, 96, 207-210. https://doi.org/10.1016/j.chb.2019.03.025 Baek, C., & Doleck, T. Educational Data Mining versus Learning Analytics: A Review of Publications From 2015 to 2019. Interactive Learning Environments. Bakker, A. B., & de Vries, J. D. (2021). Job Demands-Resources theory and self-regulation: new explanations and remedies for job burnout. Anxiety Stress and Coping, 34(1), 1-21. https://doi.org/10.1080/10615806.2020.1797695 Balkis, M., & Duru, E. (2016). Procrastination, self-regulation failure, academic life satisfaction, and affective well-being: under regulation or misregulation form. European Journal of Psychology of Education, 31(3), 439-459. https://doi.org/10.1007/s10212-015-0266-5 Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ, 1986(23-28). Bodily, R., Kay, J., Aleven, V., Jivet, I., Davis, D., Xhakaj, F., & Verbert, K. (2018). Open learner models and learning analytics dashboards: a systematic review. Paper presented at the Proceedings of the 8th international conference on learning analytics and knowledge. https://doi.org/10.1145/3170358.3170409 Bolhuis, S. (2003). Towards process-oriented teaching for self-directed lifelong learning: a multidimensional perspective. Learning and Instruction, 13(3), 327-347. https://doi.org/10.1016/S0959-4752(02)00008-7 Callan, G. L., & Cleary, T. J. (2018). Multidimensional Assessment of Self-Regulated Learning With Middle School Math Students. School Psychology Quarterly, 33(1), 103-111. https://doi.org/10.1037/spq0000198 Callan, G. L., & Cleary, T. J. (2019). Examining cyclical phase relations and predictive influences of self-regulated learning processes on mathematics task performance. Metacognition and Learning, 14(1), 43-63. https://doi.org/10.1007/s11409-019-09191-x Contreras, F., & Abid, G. (2022). Social sustainability studies in the 21st century: A bibliometric mapping analysis using VOSviewer Software. Pakistan Journal of Commerce and Social Sciences (PJCSS), 16(1), 167-203. Cosnefroy, L., Fenouillet, F., Mazé, C., & Bonnefoy, B. (2018). On the relationship between the forethought phase of self-regulated learning and self-regulation failure. A paraître dans IIER (Issues in Educational Research), 28(2). De Smul, M., Heirweg, S., Van Keer, H., Devos, G., & Vandevelde, S. (2018). How competent do teachers feel instructing self-regulated learning strategies? Development and validation of the teacher self-efficacy scale to implement self-regulated learning. Teaching and Teacher Education, 71, 214-225. https://doi.org/10.1016/j.tate.2018.01.001 Dignath, C., & Mevarech, Z. (2021). Introduction to special issue minds the gap between research and practice in the area of teachers' support of metacognition and SRL. Metacognition and Learning, 16(3), 517-521. https://doi.org/10.1007/s11409-021-09285-5 Dogan, Y. (2022). Higher Education EFL Learners' Online Self-Regulated Learning during the COVID-19 Pandemic: Relationships of Some Variables with Self-Regulation. Novitas-ROYAL (Research on Youth and Language), 16(2), 16-35. Dzinovic, V., Devic, R., & Deric, I. (2019). The role of self-control, self-efficacy, metacognition, and motivation in predicting school achievement. Psihologija, 52(1), 35-52. https://doi.org/10.2298/PSI180202027D Elaish, M. M., Shuib, L., Ghani, N. A., Mujtaba, G., & Ebrahim, N. A. (2019). A bibliometric analysis of m-learning from topic inception to 2015. International Journal of Mobile Learning and Organisation, 13(1), 91-112. https://doi.org/10.1504/IJMLO.2019.096470 Gao, X. (2022). Research on Expressive Writing in Psychology: A Forty-year Bibliometric Analysis and Visualization of Current Status and Research Trends. Frontiers in Psychology, 13, 917. https://doi.org/10.3389/fpsyg.2022.825626 Greene, J. A. (2021). Teacher support for metacognition and self-regulated learning: a compelling story and a prototypical model. Metacognition and Learning, 16(3), 651-666. https://doi.org/10.1007/s11409-021-09283-7 Hamidi, A., & Ramavandi, B. (2020). Evaluation and scientometric analysis of research on air pollution in developing countries from 1952 to 2018. Air Quality, Atmosphere & Health, 13, 797-806. https://doi.org/10.1007/s11869-020-00836-4 Jansen, R. S., van Leeuwen, A., Janssen, J., Jak, S., & Kester, L. (2019). Self-regulated learning partially mediates the effect of self-regulated learning interventions on achievement in higher education: A meta-analysis. Educational Research Review, 28. https://doi.org/10.1016/j.edurev.2019.100292 Kim, J., Jo, I. H., & Park, Y. (2016). Effects of learning analytics dashboard: analyzing the relations among dashboard utilization, satisfaction, and learning achievement. Asia Pacific Education Review, 17(1), 13-24. https://doi.org/10.1007/s12564-015-9403-8 Lawson, M. J., Vosniadou, S., Van Deur, P., Wyra, M., & Jeffries, D. (2019). Teachers' and Students' Belief Systems About the Self-Regulation of Learning. Educational Psychology Review, 31(1), 223-251. https://doi.org/10.1007/s10648-018-9453-7 Lee, D., Watson, S. L., & Watson, W. R. (2019). Systematic literature review on self-regulated learning in massive open online courses. Australasian Journal of Educational Technology, 35(1), 28-41. https://doi.org/10.14742/ajet.3749 Li, S., & Zheng, J. (2018). The Relationship Between Self-efficacy and Self-regulated Learning in One-to-One Computing Environment: The Mediated Role of Task Values. Asia-Pacific Education Researcher, 27(6), 455-463. https://doi.org/10.1007/s40299-018-0405-2 Lichtinger, E., & Kaplan, A. (2011). Purpose of engagement in academic self-regulation. New Directions for Teaching and Learning, 2011(126), 9-19. https://doi.org/10.1002/tl.440 Maldonado-Mahauad, J., Perez-Sanagustin, M., Kizilcec, R. F., Morales, N., & Munoz-Gama, J. (2018). Mining theory-based patterns from Big data: Identifying self-regulated learning strategies in Massive Open Online Courses. Computers in Human Behavior, 80, 179-196. https://doi.org/10.1016/j.chb.2017.11.011 Marra, R. M., Hacker, D. J., & Plumb, C. (2022). Metacognition and the development of self-directed learning in a problem-based engineering curriculum. Journal of Engineering Education, 111(1), 137-161. https://doi.org/10.1002/jee.20437 Matcha, W., Uzir, N. A., Gasevic, D., & Pardo, A. (2020). A Systematic Review of Empirical Studies on Learning Analytics Dashboards: A Self-Regulated Learning Perspective. Ieee Transactions on Learning Technologies, 13(2), 226-245. https://doi.org/10.1109/TLT.2019.2916802 Panadero, E. (2017). A Review of Self-regulated Learning: Six Models and Four Directions for Research. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.00422 Panadero, E., Andrade, H., & Brookhart, S. (2018). Fusing self-regulated learning and formative assessment: a roadmap of where we are, how we got here, and where we are going. Australian Educational Researcher, 45(1), 13-31. https://doi.org/10.1007/s13384-018-0258-y Park, Y., & Jo, I. H. (2015). Development of the learning analytics dashboard to support students’ learning performance. Journal of Universal Computer Science, 21(1), 110. Pintrich, P. R. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). https://doi.org/10.1037/t09161-000 |
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