Thai University Students’ Self-Regulated Learning in an Online Learning Environment

Budsaba - Kanoksilapatham

Abstract


Language learners’ achievement is influenced by a variety of psychological factors, including attention, self-confidence, and motivation. In addition to the list, self-regulated learning (SRL) is another essential psychological component of learning, as evidenced by research on learning and performance. Meanwhile, rapid changes in current conditions induced by COVID-19 have prompted a shift from traditional face-to-face to online learning. In this learning environment, learners and instructors are physically apart, and thus very little is known about how their learning is navigated. To better understand how learners manage learning, this study examines Thai university students’ SRL application while taking an English course totally delivered online. Based on the administration of the 24-item Online Self-regulated Learning Questionnaire (OSLQ) at the end of the course, 75 out of the 84 students completed the questionnaire. Data analysis exhibited quite a high level of goal setting (GS) and environmental structuring (ES); however, they appeared to utilise a relatively lower level of task strategies (TS) and time management (TM). Overall, the findings underline the importance of instiling SRL in students and suggest that SRL may vary depending on academic contexts. The results contribute to our understanding of the association between learning environments and SRL, as well as providing practical pedagogical implications to enhance students’ success.  

 

Keywords: Thai learners; university students; OSLQ; online learning; English language                            


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Aldowah, H., Al-Samarraie, H., Alzahrani, A. I., & Alalwan, N. (2020). Factors affecting student dropout in MOOCs: A cause and effect decision‐making model. Journal of Computing in Higher Education, 32(2), 429-454.

Araka, E., Maina, E., Gitonga, R., & Oboko, R. (2020). Research trends in measurement and intervention tools for self-regulated learning for e-learning environments - systematic review (2008–2018). Research and Practice in Technology Enhanced Learning, 15(1), 1-21.

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.

Barnard-Brak, L., Paton, V. O., & Lan, W. Y. (2010). Self-regulation across time of first-generation online learners. ALT-J: Research in Learning Technology, 18(1), 61–70.

Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, pp. 27, 1–13.

Conde Gafaro, B. (2019). Exploring self-regulated language learning with MOOCs. Journal of Interactive Media in Education, 2019(1), article no. 14.

Davis, D., Chen, G., Zee, T. V. D., Hauff, C., & Houben, G. J. (2016). Retrieval practice and study planning in MOOCs: Exploring classroom-based self-regulated learning strategies at scale. In European Conference on Technology Enhanced Learning (pp. 57-71). Springer, Cham.

Ergen, B., & Kanadli, S. (2017). The effect of self-regulated learning strategies on academic achievement: A meta-analysis study. Eurasian Journal of Educational Research, 17(69), 55–74.

Farrelly, M. J., & Sinwongsuwat, K. (2021). Strategies used and challenges faced by Thai EFL teachers when eliciting talk during classroom interactions in high school contexts. SAGE Open, 11(4), 21582440211050385.

Feiz, P., & Hooman, H. A. (2013). Assessing the motivated strategies for learning questionnaire (MSLQ) in Iranian students: Construct validity and reliability. Procedia-Social and Behavioral Sciences, 84, 1820-1825.

Feng, W., Tang, J., & Liu, T. X. (2019). Understanding dropouts in MOOCs. In Proceedings of the AAAI Conference on Artificial Intelligence, 33(1), 517-524.

Flores, A. M. A., Espinosa, C. F., & Tadle, V. L. (2021). Digital problems and parental support among Thai learners during online learning. ASEAN Multidisciplinary Research Journal, 9, 115-125.

Fung, J. J., Yuen, M., & Yuen, A. H. (2018). Validity evidence for a Chinese version of the online self-regulated learning questionnaire with average students and mathematically talented students. Measurement and Evaluation in Counseling and Development, 51(2), 111-124.

Handoko, E., Gronseth, S. L., McNeil, S. G., Bonk, C. J., & Robin, B. R. (2019). Goal setting and MOOC completion: A study on the role of self-regulated learning in student performance in massive open online courses. International Review of Research in Open and Distributed Learning, 20(3), 38-58.

Harahap, A. C. P. (2020). Covid 19: Self-regulated learning mahasiswa. AL-IRSYAD, 10(1), 36-42.

Jackson, C. R. (2018). Validating and adapting the motivated strategies for learning questionnaire (MSLQ) for STEM courses at an HBCU. Aera Open, 4(4), 2332858418809346.

Jo, I., Park, Y., Kim, J., & Song, J. (2014). Analysis of online behavior & prediction of learning performance in blended learning environments. Educational Technology International, 15(2), 71–88.

Jouhari, Z., Haghani, F., & Changiz, T. (2015). Factors affecting self-regulated learning in medical students: a qualitative study. Medical education online, 20(1), 28694.

Kanoksilapatham, B. (2021). OER as Language Online Lessons to Enhance Thai University Students’ English Language Skills in the COVID-19 Pandemic Era. 3L: Southeast Asian Journal of English Language Studies, 27(2).

Kanoksilapatham, B. (2022). Digital Technology in English Education: Linguistic Gain and Pain Points. International Journal of Information and Education Technology, 12(4).

Katz, V. S., Jordan, A. B., & Ognyanova, K. (2021). Digital inequality, faculty communication, and remote learning experiences during the COVID-19 pandemic: A survey of US undergraduates. Plos one, 16(2), e0246641.

Khalil, H., & Ebner, M. (2014). MOOCs Completion Rates and Possible Methods to Improve Retention - A Literature Review. In J. Viteli & M. Leikomaa (Eds.), Proceedings of EdMedia 2014, World Conference on Educational Media and Technology, 1305-1313. Tampere, Finland: Association for the Advancement of Computing in Education

(AACE).

Kizilcec, R. F., Pérez-Sanagustin, M., & Maldonado, J. J. (2017). Self-regulated learning strategies predict learner behaviour and goal attainment in Massive Open Online Courses. Computers & Education, 104, 18-33.

Kumar, J., & Al-Samarraie, H. (2019). An investigation of novice pre-university students’ views towards MOOCs: the case of Malaysia. The Reference Librarian, 60(2), 134-147.

Lau, K. L. (2021). Adaptation and validation of a Chinese online self-regulated learning questionnaire. Journal of Psychoeducational Assessment, 07342829211059979.

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.

Li, K., & Moore, D. R. (2018). Motivating students in massive open online courses (MOOCs) using the attention, relevance, confidence, satisfaction (arcs) model. Journal of Formative Design in Learning, 2(2), 102–113.

Lim, C., Ab Jalil, H., Ma’rof, A., & Saad, W. (2020). Peer learning, self-regulated learning and academic achievement in blended learning courses: A structural equation modeling approach. International Journal of Emerging Technologies in Learning (IJET), 15(3), 110-125.

Littlejohn, A., Hood, N., Milligan, C., & Mustain, P. (2016). Learning in MOOCs: Motivations and self-regulated learning in MOOCs. The Internet and Higher Education, pp. 29, 40–48.

Martinez-Lopez, R., Yot, C., Tuovila, I., & Perera-Rodríguez, V. H. (2017). Online self-regulated learning questionnaire in a Russian MOOC. Computers in Human Behavior, 75, 966-974.

Nagrecha, S., Dillon, J. Z., & Chawla, N. V. (2017, April). MOOC dropout prediction: Lessons learned from making pipelines interpretable. In Proceedings of the 26th International Conference on World Wide Web Companion (pp. 351–359).

Onoda, S. (2022). Enhancing creative thinking, critical thinking, and interactional skills through problem-solving group projects among undergraduate English majors in Japan. 3L: Southeast Asian Journal of English Language Studies, 28(2).

Pelikan, E. R., Lüftenegger, M., Holzer, J., Korlat, S., Spiel, C., & Schober, B. (2021). Learning during COVID-19: The role of self-regulated learning, motivation, and procrastination for perceived competence. Zeitschrift für Erziehungswissenschaft, 24(2), 393-418.

Pinto Santubera, C., Ortiz Salgado, R., Muñoz Mendoza, C. L., Yáñez Alvarado, M., & Letelier Sanza, P. (2020). Cuestionario de autorregulación del aprendizaje en línea (Online Self-regulated Learning Questionnaire, OSLQ): Estudio de validez y fiabilidad de la versión en español. Estudios pedagógicos (Valdivia), 46(2), 251-266.

Pintrich, P. R., Smith, D., Garcia, T., & McKeachie, W. (1991). A manual for the use of the motivated strategies for learning questionnaire (MSLQ), National Center for Research to improve post secondary teaching and learning, Uni of Michigan: Ann Arbor.

Poitras, E. G., & Lajoie, S. P. (2017). Using technology-rich environments to foster self-regulated learning in social studies. In Handbook of self-regulation of learning and performance (pp. 166-180). Routledge.

Rosé, C. P., Ferschke, O., Tomar, G., Yang, D., Howley, I., Aleven, V., & Baker, R. (2015). Challenges and opportunities of dual-layer MOOCs: Reflections from an edX deployment study. Proceedings of the 11th International Conference on Computer Supported Collaborative Learning, Gothenburg, Sweden, 848-851.

Rufini, S. É., Fernandes, J. G., Bianchini, L. G. B., & Alliprandini, P. M. Z. (2021). Brazilian version of online self-regulated learning questionnaire (OSLQ): Evidence of validity. Psicologia: Teoria e Pesquisa, 37.

Schunk, D. H. (2001). Self-regulation through goal setting. ERIC Digests, ED462671.

Shah, D. (2018). By the numbers: MOOCS in 2016. Class Central’s MOOC Report.

Sukman, K., & Mhunkongdee, T. (2021). Thai EFL learners’ voices on learning English online during the COVID-19 pandemic. International Journal of English Language Teaching, 9(2), 1-9.

Taghizade, A., Azimi, E., & Mirzaee, R. (2020). Validity evidence for a Persian version of the online self-regulated learning questionnaire. Interdisciplinary Journal of Virtual Learning in Medical Sciences, 11(1), 13-24.

Taylor, R. (2012). Review of the motivated strategies for learning questionnaire (MSLQ) using reliability generalisation techniques to assess scale reliability. (Doctoral dissertation: Auburn University, Alabama.)

Zheng, L. (2016). The effectiveness of self-regulated learning scaffolds on academic performance in computer-based learning environments: A meta-analysis. Asia Pacific Education Review, 17(2), 187–202.

Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into practice, 41(2), 64-70.

Zimmerman, B. J. (2013). Theories of self-regulated learning and academic achievement: An overview and analysis. Self-regulated learning and academic achievement, 1-36.

Zimmerman, B. J., & Schunk, D. H. (2011). Self-regulated learning and performance: An introduction and an overview. In Zimmerman, B.; Schunk, D.H., Handbook of Self-Regulation of Learning Band Performance, pp. 1-12. Routledge: Taylor, Francis Group.




DOI: http://dx.doi.org/10.17576/3L-2023-2902-09

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