Abstracts
Abstract
This study examines the relationships between self-efficacy, task value, and the use of self-regulated learning strategies by massive open online course (MOOC) learners from a social cognitive perspective. A total of 184 participants who enrolled in two MOOCs completed surveys. The results of Pearson’s correlation analysis show a positive correlation between self-efficacy and the use of self-regulated learning strategies, as well as a positive correlation between task value and the use of self-regulated learning strategies. The results of hierarchical multiple regression analysis show that self-efficacy and task value are significant predictors of the use of self-regulated learning strategies. There was a statistically significant difference in the use of self-regulated learning strategies between learners who possessed high self-efficacy and those who possessed low self-efficacy. In addition, learners who had high task value showed statistically significant higher average self-regulated learning scores than those who had low task value. Implications and future research directions are discussed based on the findings.
Keywords:
- self-regulated learning,
- self-efficacy,
- task value,
- massive open online courses,
- MOOCs,
- social cognitive perspective
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Appendices
Bibliography
- Alario-Hoyos, C., Estévez-Ayres, I., Pérez-Sanagustín, M., Kloos, C. D., & Fernández-Panadero, C. (2017). Understanding learners’ motivation and learning strategies in MOOCs. The International Review of Research in Open and Distributed Learning, 18(3). doi: 10.19173/irrodl.v18i3.2996
- Artino, A. R. (2007a). Online military training: Using a social cognitive view of motivation and self-regulation to understand students’ satisfaction, perceived learning, and choice. Quarterly Review of Distance Education, 8(3), 191.
- Artino, A. R. (2007b). Self-regulated learning in online education: A review of the empirical literature. International Journal of Instructional Technology and Distance Learning, 4(6), 3-18.
- Artino, A. R. (2008). Promoting academic motivation and self-regulation: Practical guidelines for online instructors. TechTrends, 52(3), 37-45. doi: 10.1007/s11528-008-0153-x
- Artino, A. R., & Jones, K. D. (2012). Exploring the complex relations between achievement emotions and self-regulated learning behaviors in online learning. The Internet and Higher Education, 15(3), 170-175. doi: 10.1016/j.iheduc.2012.01.006
- Artino, A. R., & Stephens, J. M. (2006). Learning online: Motivated to self-regulate? Academic Exchange Quarterly, 10(4), 176-182. Retrieved from https://www.researchgate.net/publication/267362438_Learning_Online_Motivated_to_Self-Regulate
- Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
- Bandura, A. (1994). Self-efficacy. In V. S. Ramachaudran (Ed.), Encyclopedia of human behavior (pp. 71-81). New York, NY: Academic Press.
- 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. doi: 10.1016/j.iheduc.2008.10.005
- Barnard-Brak, L., Paton, V. O., & Lan, W. Y. (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. doi: 10.19173/irrodl.v11i1.769
- Breusch, T. S., & Pagan, A. R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica: Journal of the Econometric Society, 47(5), 1287-1294. doi: 10.2307/1911963
- 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, 27, 1-13. doi: 10.1016/j.iheduc.2015.04.007
- Cho, M. H., Demei, S., & Laffey, J. (2010). Relationships between self-regulation and social experiences in asynchronous online learning environments. Journal of Interactive Learning Research, 21(3), 297-316. Retrieved from https://www.learntechlib.org/p/29491
- Cho, M. H., & Jonassen, D. (2009). Development of the human interaction dimension of the Self‐Regulated Learning Questionnaire in asynchronous online learning environments. Educational Psychology, 29(1), 117-138. doi: 10.1080/01443410802516934
- Cho, M., & Shen, D. (2013). Self-regulation in online learning. Distance Education, 34(3), 290-301. doi: 10.1080/01587919.2013.835770
- Dabbagh, N., & Kitsantas, A. (2005). Using Web-based pedagogical tools as scaffolds for self-regulated learning. Instructional Science, 33(5-6), 513-540. doi: 10.1007/s11251-005-1278-3
- Ertmer, P. A., Newby, T. J., & MacDougall, M. (1996). Students’ responses and approaches to case-based instruction: The role of reflective self-regulation. American Educational Research Journal, 33, 719-752. doi: 10.3102/00028312033003719
- Gasevic, D., Kovanovic, V., Joksimovic, S., & Siemens, G. (2014). Where is research on massive open online courses headed? A data analysis of the MOOC Research Initiative. The International Review of Research in Open and Distributed Learning, 15(5). doi: 10.19173/irrodl.v15i5.1954
- Glance, D. G., Forsey, M., & Riley, M. (2013). The pedagogical foundations of massive open online courses. First Monday, 18(5). doi: 10.5210/fm.v18i5.4350
- Hodges, C. B. (2008). Self‐efficacy in the context of online learning environments: A review of the literature and directions for research. Performance Improvement Quarterly, 20(3‐4), 7-25. doi: 10.1002/piq.20001
- Hodges, C. (2016). The development of learner self-efficacy in MOOCs. In P. Kirby & G. Marks (Eds.), Proceedings of Global Learn 2016—Global conference on learning and technology (pp. 517-522). Retrieved from https://www.learntechlib.org/p/172763
- Hsu, J. T. (1997). Value, expectancy, metacognition, resource management, and academic achievement: A structural model of self-regulated learning in a distance education context (Doctoral dissertation). Retrieved from https://www.learntechlib.org/p/120360/
- Johnson, B., & Christensen, L. (2017). Educational research: Quantitative, qualitative, and mixed approaches (6th ed.). Thousand Oaks, CA: Sage Publications.
- Johnson, L., Becker, S., Estrada, V., & Freeman, A. (2014). NMC Horizon report: 2014 higher education edition. Austin, TX: New Media Consortium.
- Joo, Y., Bong, M., & Choi, H. (2000). Self-efficacy for self-regulated learning, academic self-efficacy, and Internet self-efficacy in Web-based instruction. Educational Technology Research and Development, 48(2), 5-17. doi: 10.1007/BF02313398
- Kim, K. J., & Bonk, C. J. (2006). The future of online teaching and learning in higher education: The survey says. Educause Quarterly, 29(4), 22-30. Retrieved from https://er.educause.edu/articles/2006/1/the-future-of-online-teaching-and-learning-in-higher-education-the-survey-says
- Kizilcec, R. F., Pérez-Sanagustín, M., & Maldonado, J. J. (2016, April). Recommending self-regulated learning strategies does not improve performance in a MOOC. Paper presented at Learning@Scale 2016, Edinburgh. doi: 10.1145/2876034.2893378
- Kizilcec, R. F., Pérez-Sanagustín, M., & Maldonado, J. J. (2017). Self-regulated learning strategies predict learner behavior and goal attainment in massive open online courses. Computers & Education, 104, 18-33. doi: 10.1016/j.compedu.2016.10.001
- Lee, C. Y. (2002). The impact of self-efficacy and task value on satisfaction and performance in a Web-based course (Unpublished doctoral dissertation). University of Central Florida, Orlando, FL.
- 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. doi: 10.14742/ajet.3749
- Margaryan, A., Bianco, M., & Littlejohn, A. (2015). Instructional quality of massive open online courses (MOOCs). Computers & Education, 80, 77-83. doi: 10.1016/j.compedu.2014.08.005
- Milligan, C., & Littlejohn, A. (2016). How health professionals regulate their learning in massive open online courses. The Internet and Higher Education, 31, 113-121. doi: 10.1016/j.iheduc.2016.07.005
- Milligan, S. K., & Griffin, P. (2016). Understanding learning and learning design in MOOCs: A measurement-based interpretation. Journal of Learning Analytics, 3(2), 88-115. doi: 10.18608/jla.2016.32.5
- Nawrot, I., & Doucet, A. (2014, April). Building engagement for MOOC students: Introducing support for time management on online learning platforms. Paper presented at the 23rd International World Wide Web Conference, Seoul, South Korea. doi: 10.1145/2567948.2580054
- Onah, D. F. O, & Sinclair, J. E. (2016, September). A multi-dimensional investigation of self-regulated learning in a blended classroom context: A case study on eLDa MOOC. In M. E. Auer, G. Guralnick, & J. Uhomoibhi (Eds.), Proceedings of the 19th International Conference on Interactive Collaborative Learning (pp. 63-85). Springer. doi: 10.1007/978-3-319-50340-0
- Pajares, F. (2002). Overview of social cognitive theory and of self-efficacy. Received from http://people.wku.edu/richard.miller/banduratheory.pdf
- Pappano, L. (2012, November 2). The year of the MOOC. The New York Times. Retrieved from https://www.edinaschools.org/cms/lib/MN01909547/Centricity/Domain/272/The%20Year%20of%20the%20MOOC%20NY%20Times.pdf
- Perna, L. W., Ruby, A., Boruch, R. F., Wang, N., Scull, J., Ahmad, S., & Evans, C. (2014). Moving through MOOCs: Understanding the progression of users in massive open online courses. Educational Researcher, 43(9), 421-432. doi: 10.3102/0013189X14562423
- Pintrich, P. R. (1999). The role of motivation in promoting and sustaining self-regulated learning. International Journal of Educational Research, 31(6), 459-470. doi: 10.1016/S0883-0355(99)00015-4
- Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33-40. doi: 10.1037/0022-0663.82.1.33
- Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). Ann Arbor, MI: The University of Michigan.
- Pintrich, P. R., Smith, D. A., Garcia, T., & McKeachie, W. J. (1993). Reliability and predictive validity of the Motivated Strategies for Learning Questionnaire (MSLQ). Educational and Psychological Measurement, 53(3), 801-813. doi: 10.1177/0013164493053003024
- Schulze, A. S. (2014). Massive open online courses (MOOCs) and completion rates: Are self-directed adult learners the most successful at MOOCs? (Doctoral dissertation, Pepperdine University). Retrieved from https://pqdtopen.proquest.com/pubnum/3622996.html
- Schunk, D. H., & Zimmerman, B. J. (1998). Self-regulated learning: From teaching to self-reflective practice. New York, NY: Guilford Press.
- Shea, P., & Bidjerano, T. (2010). Learning presence: Towards a theory of self-efficacy, self-regulation, and the development of a communities of inquiry in online and blended learning environments. Computers & Education, 55(4), 1721-1731. doi: 10.1016/j.compedu.2010.07.017
- Tsai, C. C., Chuang, S. C., Liang, J. C., & Tsai, M. J. (2011). Self-efficacy in Internet-based learning environments: A literature review. Journal of Educational Technology & Society, 14(4). Retrieved from http://www.jstor.org/stable/jeductechsoci.14.4.222
- Wang, S. L., & Lin, S. S. (2007). The application of social cognitive theory to Web‐based learning through NetPorts. British Journal of Educational Technology, 38(4), 600-612. doi: 10.1111/j.1467-8535.2006.00645.x
- Whipp, J. L., & Chiarelli, S. (2004). Self-regulation in a Web-based course: A case study. Educational Technology Research and Development, 52(4), 5-22. doi: 10.1007/BF02504714
- Zimmerman, B. J. (1989). A social cognitive view of self-regulated academic learning. Journal of educational psychology, 81(3), 329-339. doi: 10.1037/0022-0663.81.3.329
- Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13-39). San Diego, CA: 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., & Pons, M. M. (1986). Development of a structured interview for assessing student use of self-regulated learning strategies. American Educational Research Journal, 23(4), 614-628. doi: 10.3102/00028312023004614