PERCEIVED SUPPORT FROM INSTRUCTOR & PEERS AND STUDENTS’ SELF-REGULATED LEARNING DURING TEMPORARY ONLINE PIVOTED LEARNING

Year 2023, Volume: 24 Issue: 3, 192 - 208, 01.07.2023

Hue Nguyen

https://doi.org/10.17718/tojde.1140242

Abstract

The third wave of the Covid-19 pandemic has made every higher education institution in Taiwan implement online learning. Given the circumstance, supporting students in their online self-regulated learning (SRL) became more critical to enabling students’ learning maintenance and learning success. The present study explores the impact of instructor support and peers support on students’ SRL during temporary online pivoted learning. 123 undergraduate and graduate students in Taiwan were surveyed on two scales The Instructor Support and Peers Support Questionnaire and The Self-Regulated Online Learning Questionnaire (SOL-Q). The descriptive results indicated that students had relatively good perceptions of instructor support, peers support and the online SRL. Additionally, the correlation analysis revealed that both instructor support and peers support had positive and moderate relationships with dimensions of the online SRL. Furthermore, the regression analysis substantiated the importance of instructor support to dimensions of metacognitive skills, persistence, and environmental structuring. In contrast, peer support was essential to metacognitive skills, persistence, and help-seeking. Lastly, there was a negligible impact of provided support on time management behaviors. The research suggested that educators and institutions should provide adequate support for students and facilitate interactive online learning environments for peer-to-peer support.

Keywords

Instructor support & peer support, self-regulated learning, temporary online pivoted learning, quantitative research

References

• Albelbisi, N., & Yusop, F. (2019). Factors Influencing Learners’ Self –Regulated Learning Skills in a Massive Open Online Course (MOOC) Environment. Turkish Online Journal of Distance Education, 20(3), 1-16. DOI:10.17718/tojde.598191.
• Atmojo, S. E., Muhtarom, T., & Lukitoaji, B. (2020). The level of self-regulated learning and self-awareness in science learning in the covid-19 pandemic era. Jurnal Pendidikan IPA Indonesia, 9(4), 512–520. DOI: 10.15294/jpii.v9i4.25544.
• Barth, D. (2020). Seven ways of engaging the online learner to develop self-regulated learning skills. Journal of Teaching and Learning with Technology, 9(1), 19-29. DOI: 10.14434/jotlt.v9i1.29165.
• Boekaerts, M., & Cascallar, E. (2006). How far have we moved toward the integration of theory and practice in self- regulation? Educational Psychology Review, 18(3), 199-210. DOI:10.1007/s10648-006-9013-4.
• Broadbent, J., & Lodge, J. (2021). Use of live chat in higher education to support self-regulated help seeking behaviours: a comparison of online and blended learner perspectives. International Journal of Educational Technology in Higher Education, 18,17. DOI: 10.1186/s41239-021-00253-2.
• Carneiro, R., Lefrere, P., Steffens, K., & Underwood, J. (2011). Self-Regulated Learning in Technology Enhanced Learning Environments (Vol.5). Rotterdam, The Netherlands: Sense Publishers.
• Carter, R. A., Rice, M. F., Yang, S., & Jackson, H. A. (2020). Self-regulated learning in online learning environments: Strategies for remote learning. Information and Learning Science, 121(5), 321-329. DOI: 10.1108/ILS-04-2020-0114.
• Curley, R. G., & Strage, A. A. (1996). Instructional support and demands: Helping teachers help students meet increasing academic standards. Education, 117(1), 128.
• Duffy, M. C., & Azevedo, R. (2015). Motivation matters: Interactions between achievement goals and agent scaffolding for self-regulated learning within an intelligent tutoring system. Comp. Hum. Behav., 52, 338–348. DOI: 10.1016/j.chb. 2015.05.04.
• Earwaker, J. (1992). Helping and supporting students: Rethinking the issues. Buckingham. England: Open University Press.
• Edisherashvili, N., Saks, K., Pedaste, M., & Leijen, Ä. (2022). Supporting Self-Regulated Learning in Distance Learning Contexts at Higher Education Level: Systematic Literature Review. Front. Psychol., 12:792422. DOI: 10.3389/fpsyg.2021.792422.
• Falchikov, N. (1996, July 8-12). Improving learning through critical peer feedback and reflection. The HERDSA Conference 1996: Different approaches: Theory and practice in Higher Education, Perth, Australia.
• Gielen, S., Tops, L., Dochy, F., Onghena, P., & Smeets, S. (2010). Acomparative study of peer and teacher feedback and of various peerfeedback forms in a secondary school writing curriculum. British Educational Research Journal, 36, 143e162.
• Gikandia, J. W., & Morrowa, D. (2016). Designing and implementing peer formative feedback within online learning environments. Technol. Pedag. Educ., 25(2), 153–170. DOI: 10.1080/1475939X.2015.1058853.
• Hoyle, R. H., & Dent, A. M. (2018). Chapter 4 Developmental Trajectories of Skills and Abilities Relevant for Self-Regulation of Learning and Performance. In Schunk, D.H., & Greene, J.A. (Eds.). Handbook of Self-Regulation of Learning and Performance (2nd ed.). Routledge. DOI: 10.4324/9781315697048.
• Huang, K., & Law, V. (2018). Learners’ engagement online in peer help. American Journal of Distance Education, 32(3), 177–189. DOI:10.1080/08923647.2018.1475982.
• Jansen, R., Leeuwen, A., Janssen, J., Kester, L., & Kalz, M. (2018). Validation of the self-regulated online learning questionnaire. Journal of Computing in Higher Education, 29, 6–27. DOI: 10.1007/s12528-016-9125-x.
• Karabenick, S. A., & Knapp, J. R. (1991). Relationship of academic help seeking to the use of learning strategies and other instrumental achievement behavior in college students. Journal of Educational Psychology, 83(2), 221–230. DOI: 10.1037/0022-0663.83.2.221.
• Kocdar, S., Karadeniz, A., Bozkurt, A., & Buyuk, K. (2018). Measuring self-regulation in self-paced open and distance learning environments. Int. Rev. Res. Open Dist. Learn., 19(1), 25–42. DOI: 10.19173/irrodl.v19i1.3255.
• Lee, Y., & Choi, J. (2011). A review of online course dropout research: implications for practice and future research. Educ. Technol. Res. Dev., 59(5), 593–618. DOI: 10.1007/s11423-010-9177-y.
• Lim, J. H., Tai, K., Peter, A. K., & Morrison, E. W. (2019). Soliciting Resources From Others: An Integrative Review. Academy of Management Annals, 14(1), 122-159. DOI: 10.5465/annals.2018.0034.
• Liu, N. -F., & Carless, D. (2006). Peer feedback: The learning element of peer assessment. Teaching in Higher Education, 11(3), 279-290. DOI: 10.1080/13562510600680582.
• Lynch, R., & Dembo, M. (2004). The relationship between self-regulation and online learning in a blended learning context. The International Review of Research in Open and Distributed Learning, 5(2), 1-16. DOI: 10.19173/irrodl.v5i2.189.
• Ma, X., Liu, J., Liang, J., & Fan, C. (2020). An empirical study on the effect of group awareness in CSCL environments. Interactive Learrning Environment, 1–16. DOI: 10.1080/10494820.2020.1758730.
• Mălureanu, F., & Enachi-Vasluianu, L. (2021). Strategies Of Supporting Students' Interaction In Online Learning. Bucharest: "Carol I" National Defence University, 1, 205-210. DOI:10.12753/2066-026X-21-027.
• Moore, M. G. (1989). Three types of interaction. American Journal of Distance Education, 3(2), 1–7. DOI:10.1080/08923648909526659.
• Muilenburg, L. Y., & Berge, Z. L. (2005). Student barriers to online learning: A factor analytic study. Distance Education, 26(1), 29–48. DOI: 10.1080/01587910500081269.
• Newman, R. S. (2008). The motivational role of adaptive help seeking in self-regulated learning. In Schunk, D. H., & Zimmerman, B. J. (Eds.), Motivation and self-regulated learning. Theory, research, and applications (pp. 327–350). New York. NY: Routledge.
• Ng, CF. (2021). The Physical Learning Environment of Online Distance Learners in Higher Education – A Conceptual Model. Front. Psychol., 12:635117. DOI: 10.3389/fpsyg.2021.635117.
• Nordmann, E., Horlin, C., Hutchison, J., Murray, J-A., Robson, L., Seery, M., & MacKay, J. R. D. (2020). Ten simple rules for supporting a temporary online pivot in higher education. PLoS Comput Biol, 16(10): e1008242. DOI: 10.1371/journal.pcbi.1008242.
• Omar, E. -N. M. M. A., Abdalrahim, A., Drewish, A., Saeed, Y. M., & Abdalbagi. Y. M. (2015). Test of Information Technology (IT) - Self Efficacy and Online Learning Interaction Components on Student Retention: A Study of Synchronous Learning Environment," 2015 Fifth International Conference on e-Learning (econf), 165-173, DOI: 10.1109/ECONF.2015.17.
• Panadero, E., Alonso-Tapia, J., & Reche, E. (2013). Rubrics vs. Self-assessment scripts effect on self-regulation, performance and self-efficacy in pre- service teachers. Studies in Educational Evaluation, 39(3), 125–132. DOI: 10.1016/j.stueduc.2013. 04.001.
• Rice, M. F., & Carter, R. A. (2016). Online teacher work to support self-regulation of learning in students with disabilities at a fully online state virtual school, Online Learning, 20(4), 118-135. DOI:10.24059/olj.v20i4.1054.
• Rovai, A. P., & Downey, J. R. (2010). Why some distance education programs fail while others succeed in a global environment. The Internet and Higher Education, 13(3), 141–147. DOI: 10.1016/j.iheduc.2009.07.001.
• Sang, J. L., Srinivasan, S., Trail-Constant, T., Lewis, D., & Lopez, S. (2011). Examining the relationship among student perception of support, course satisfaction, and learning outcomes in online learning. Internet and Higher Education, 14(3), 158–163. DOI: 10.1016/j.iheduc.2011.04.001.
• Sason, H., & Kellerman, A. (2021). Teacher-Student Interaction in Distance Learning in Emergency Situations. Journal of Information Technology Education: Research, 20, 479-501. DOI: 10.28945/4884.
• Schunk, D. H., Meece, J., & Pintrich, P. (2014). Motivation in Education: Theory, Research, and Applications (4th ed.). Harlow. United Kingdom: Pearson Education.
• Schunk, D. H., & Greene, J. A. (2018). Historical, Contemporary, and Future Perspectives on Self-Regulated Learning and Performance. In Schunk, D.H., & Greene, J.A. (Eds.). Handbook of Self-Regulation of Learning and Performance (2nd ed.). Routledge. DOI: 10.4324/9781315697048.
• Selim, H. M. (2007). Critical success factors for e-learning acceptance: Confirmatory factor models. Computers & Education, 49(2), 396–413. DOI: 10.1016/j.compedu.2005.09.004.
• Senthilnathan, S. (2019). Usefulness of Correlation Analysis. SSRN Electronic Journal. DOI: 10.2139/ssrn.3416918.
• Thorpe, M. (2002). Rethinking learner support: The challenge of collaborative online learning. Open Learning, 17(2), 105–119. DOI: 10.1080/02680510220146887.
• Trentepohl, S., & Leutner, D. (2022). Time Management in Higher Education. In The Society for Research into Higher Education and Open University Press. https://encyclopedia.pub/entry/22580.
• Usher, E. L. (2012). Self-Efficacy for Self-Regulated Learning. In Seel N.M. (Ed.), Encyclopedia of the Sciences of Learning. DOI: 10.1007/978-1-4419-1428-6_835.
• 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. DOI: 10.1080/10447318.2018.1543084.
• Yu-Hui, C., & Yu-Chang, H. (2013). Peer feedback to facilitate project-based learning in an online environment. International Review of Research in Open and Distance Learning, 14(5), 258-276. DOI:10.19173/irrodl.v14i5.1524.
• Zimmerman, B. J. (1990). Self-Regulated Learning and Academic Achievement: An Overview, Educational Psychologist, 25(1), 3-17, DOI:10.1207/s15326985ep2501_2.
• Zimmerman, B. J., & Bandura, A. (1994). Impact of Self-Regulatory Influences on Writing Course Attainment. American Educational Research Journal, 31(4), 845-862. DOI: 10.3102/00028312031004845.
• Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. Handbook of self-regulation (pp.13–39). San Diego: Academic Press.
• Zimmerman, B. J. (2002). Becoming a Self-Regulated Learner: An Overview. Theory Into Practice, 41(2), 64-70. DOI:10.1207/s15430421tip4102_2.
• Zimmerman, B. J. (2008). Investigating self-regulation and motivation: historical background, methodological developments, and future prospects. American Educational Research Journal, 45(1), 166-183. DOI:10.3102/0002831207312909.