Fostering self-directed learning in MOOCs: Motivation, learning strategies, and instruction

Authors

  • Meina Zhu Wayne State University
  • Curtis J. Bonk Indiana University
  • Sara Berri Wayne State University

DOI:

https://doi.org/10.24059/olj.v26i1.2629

Keywords:

self-directed learning, SDL, motivation, learning strategies, instruction, MOOCs

Abstract

Given the increasing number of learners in massive open online courses (MOOCs), students’ self-directed learning (SDL) skills are necessary for their success. The purpose of this study was to explore learners’ motivation for enrolling in MOOCs and their SDL strategies, as well as instructional elements that support SDL from learners’ perspectives. This qualitative study adopted a phenomenological research design. The data source was semi-structured interviews with 15 learners from three MOOCs. The data were analyzed using thematic analysis. The researchers found that the motivation for enrolling in MOOCs included intrinsic motivation (e.g., curiosity, improving personal knowledge, and personal interest) and extrinsic motivation (e.g., supporting formal education and career development). The learning strategies used by MOOC learners were task strategies, self-monitoring, and self-management strategies. The task strategies included taking notes, reading texts or subtitles, watching videos, and conducting further research. The self-monitoring strategies included self-assessment, self-reflection, progress indicators, final projects, and authentic tasks. Learners’ self-management strategies (e.g., time management and resource management) varied depending on their diverse motivations. In addition, the instructional elements that support SDL were self-assessment and discussion forums, instructor feedback, flexibility, clearly stated learning goals, the authenticity of the content, and small learning units. The implications of the study are discussed in the paper.

References

Abdullatif, H., & Velázquez-Iturbide, J. Á. (2020). Relationship between motivations, personality traits and intention to continue using MOOCs. Education and Information Technologies, 25(5), 4417-4435. https://doi.org/10.1007/s10639-020-10161-z

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). https://doi.org/10.19173/irrodl.v18i3.2996

Barba, P., Kennedy, G., & Ainley, M. (2016). The role of students’ motivation and participation in predicting performance in a MOOC. Journal of Computer Assisted Learning, 32, 218–231. https://doi.org/10.1111/jcal.12130

Beaven, T., Hauck, M., Comas-Quinn, A., Lewis, T. & de los Arcos, B. (2014). MOOCs: striking the right balance between facilitation and self-determination. MERLOT Journal of Online Learning and Teaching, 10, 1, 31–43.

Bonk, C. J. (July 2009). The world is open: How Web technology is revolutionizing education. Jossey-Bass

Bonk, C. J., & Lee, M. M. (2017). Motivations, achievements, and challenges of self-directed informal learners in open educational environments and MOOCs. Journal of Learning for Development, 4(1), 36-57.

Bonk, C. J., Lee, M. M., Kou, X., Xu, S., & Sheu, F. R. (2015). Understanding the self-directed online learning preferences, goals, achievements, and challenges of MIT OpenCourseWare subscribers. Journal of Educational Technology & Society, 18(2), 349-368. http://www.ifets.info/journals/18_2/26.pdf

Bonk, C. J., Lee, M. M., Reeves, T. C., & Reynolds, T. H. (Eds.). (2015). MOOCs and open education around the world. Routledge.

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa

Braun, V., Clarke, V., & Rance, N. (2014). How to use thematic analysis with interview data. In A. Vossler & N. Moller (Eds.), The counselling & psychotherapy research handbook, 183–197. Sage.

Brockett, R. G., & Hiemstra, R. (1991). Self-direction in adult learning: Perspectives on theory, research, and practice. Routledge.

Brookfield, S. (2013). Powerful techniques for teaching adults. Jossey-Bass.

Businesswire, (2020). New Udemy report shows surge in global online education in response to COVID-19. https://www.businesswire.com/news/home/20200430005243/en/

Butler, D. L., & Winne, P. H. (1995). Feedback and self-regulated learning: A theoretical synthesis. Review of Educational Research, 65(3), 245–281. https://doi.org/10.3102%2F00346543065003245

Candy, P. C. (1991). Self-direction for lifelong learning. A comprehensive guide to theory and practice. Jossey-Bass. https://eric.ed.gov/?id=ED353470

Chang, M. M. (2007). Enhancing web-based language learning through self-monitoring. Journal of Computer Assisted Learning, 23(3), 187–196.

https://doi.org/10.1111/j.1365-2729.2006.00203.x

Chang, R. I., Hung, Y. H., & Lin, C. F. (2015). Survey of learning experiences and influence of learning style preferences on user intentions regarding MOOCs. British Journal of Educational Technology, 46(3), 528-541. https://doi.org/10.1111/bjet.12275

Chen, P. J., & Chen, Y. H. (2014). Facilitating MOOCs learning through weekly meet-up: A case study in Taiwan. Proceedings of the first ACM conference on Learning@ scale conference,183–184. ACM. https://doi.org/10.1145/2556325.2567872

Chuang, I., & Ho, A. (2016). HarvardX and MITx: Four years of open online courses--fall 2012-summer 2016. https://dx.doi.org/10.2139/ssrn.2889436

Clow, D. (2013, April). MOOCs and the funnel of participation. In Proceedings of the third international conference on learning analytics and knowledge, 185-189.

https://doi.org/10.1145/2460296.2460332

Conole, G., & Brown, M. (2018). Reflecting on the impact of the open education movement. Journal of Learning for Development, 5(3), 187-203. https://jl4d.org/index.php/ejl4d/article/view/314/346

Delclos, V. R., & Harrington, C. (1991). Effects of strategy monitoring and proactive instruction on children's problem-solving performance. Journal of Educational Psychology, 83(1), 35.

https://psycnet.apa.org/buy/1991-19728-001

Durksen, T. L., Chu, M. W., Ahmad, Z. F., Radil, A. I., & Daniels, L. M. (2016). Motivation in a MOOC: A probabilistic analysis of online learners’ basic psychological needs. Social Psychology of Education, 19(2), 241–260. https://doi.org/10.1007/s11218-015-9331-9

edX (2020). 2020 impact report. https://www.edx.org/assets/2020-impact-report-en.pdf

Garrison, D. R. (1997). Self-directed learning: Toward a comprehensive model. Adult Education Quarterly, 48(1), 18–33. https://doi.org/10.1177/07417 13697 04800 103

Glynn, S. M., Brickman, P., Armstrong, N., & Taasoobshirazi, G. (2011). Science motivation questionnaire II: Validation with science majors and nonscience majors. Journal of Research in Science Teaching, 48(10), 1159-1176. https://doi.org/10.1002/tea.20442

Grow, G. O. (1991). Teaching learners to be self-directed. Adult Education Quarterly, 41(3), 125-149. http://journals.sagepub.com/doi/pdf/10.1177/0001848191041003001

Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18(1), 59-82. https://doi.org/10.1177/1525822X05279903

Haney, W., Russell, M., Gulek, C., & Fierros, E. (1998). Drawing on education: Using student drawings to promote middle school improvement. Schools in the Middle, 7(3), 38-43. https://eric.ed.gov/?id=EJ561666

Hew, K. F., & Cheung, W. S. (2014). Students’ and instructors’ use of massive open online courses (MOOCs): Motivations and challenges. Educational Research Review, 12, 45-58. https://doi.org/10.1016/j.edurev.2014.05.001

Jordan, K. (2014). Initial trends in enrolment and completion of massive open online courses. The International Review of Research in Open and Distributed Learning, 15(1), 133–160. https ://doi.org/10.19173 /irrod l.v15i1 .1651

Kauffman, D. F. (2004). Self-regulated learning in web-based environments: Instructional tools designed to facilitate cognitive strategy use, metacognitive processing, and motivational beliefs. Journal of Educational Computing Research, 30(1-2), 139-161. https://doi.org/10.2190%2FAX2D-Y9VM-V7PX-0TAD

Kauffman, D. F., & Kiewra, K. (2010). What makes the matrix so effective: An empirical test of indexing, extraction, and localization effects. Instructional Science, 38(6), 679–706. https://doi.org/10.1007/s11251-009-9095-8

Kauffman, D. F., Zhao, R., & Yang, Y. S. (2011). Effects of online note taking formats and self-monitoring prompts on learning from online text: Using technology to enhance self-regulated learning. Contemporary Educational Psychology, 36(4), 313-322. https://doi.org/10.1016/j.cedpsych.2011.04.001

Kiewra, A. K., DuBois, N. F., Christian, D., McShane, A., Meyerhoffer, M., & Roskelley, D. (1991). Note-taking functions and techniques. Journal of Educational Psychology, 83(2), 240–245. https://psycnet.apa.org/doi/10.1037/0022-0663.83.2.240

Kim, M., Jung, E., Altuwaijri, A., Wang, Y., & Bonk, C. J. (2014, Spring). Analyzing the human learning and development potential of websites available for informal learning. International Journal of Self-Directed Learning, 11(1), 12-28.

Kizilcec, R. F., & Halawa, S. (2015). Attrition and Achievement Gaps in Online Learning. In Proceedings of the Second ACM Conference on Learning @ Scale. http://dx.doi.org/10.1145/2724660.2724680

Kizilcec, R. F., Pérez-Sanagustín, M., & Maldonado, J. J. (2016). Recommending self-regulated learning strategies does not improve performance in a MOOC. In Proceedings of the third (2016) ACM conference on learning@ scale, 101-104. https://doi.org/10.1145/2876034.2893378

Kizilcec, R. F., & Schneider, E. (2015). Motivation as a lens to understand online learners: Toward data-driven design with the OLEI scale. ACM Transactions on Computer-Human Interaction, 22(2), 1-24. https://doi.org/10.1145/2699735

Kobayashi, K. (2005). What limits the encoding effect of note-taking? A meta-analytic examination. Contemporary Educational Psychology, 30(2), 242–262. https://doi.org/10.1016/j.cedpsych.2004.10.001

Koller, D., Ng, A., Do, C., & Chen, Z. (2013). Retention and intention in massive open online courses: In depth. EDUCAUSE Review, 48(3), 62–63.

Kop, R., & Fournier, H. (2010). New dimensions to self-directed learning in an open networked learning environment. International Journal for Self-Directed Learning, 7(2), 1–19. https ://docs.wixst atic.com/ugd/dfdea f_b1740 fab6a d144a 980da 17036 39aee b4.pdf

Kop, R., Fournier, H., & Mak, J. S. F. (2011). A pedagogy of abundance or a pedagogy to support human beings? Participant support on massive open online courses. International Review of Research in Open and Distributed Learning, 12(7), 74-93. https://doi.org/10.19173/irrodl.v12i7.1041

Lan, W. Y. (1998). Teaching self-monitoring skills in statistics. Self-regulated learning: From teaching to self-reflective practice, 86-105.

Littlejohn, A., Hood, N., Milligan, C., & Mustain, P. (2016). Learning in MOOCs: Motivations and self-regulated learning in MOOCs. The Internet and Higher Education, 29, 40-48. https://doi.org/10.1016/j.iheduc.2015.12.003

Liu, M., Kang, J., & McKelroy, E. (2015). Examining learners’ perspective of taking a MOOC: reasons, excitement, and perception of usefulness. Educational Media International, 52(2), 129–146. https://doi.org/10.1080/09523987.2015.1053289

Lohr, S. (2020). Remember the MOOCs? After near-death, they’re booming. The New York Times. https://www.nytimes.com/2020/05/26/technology/moocs-online-learning.html

Loizzo, J., Ertmer, P. A., Watson, W. R., & Watson, S. L. (2017). Adult MOOC learners as self-directed: Perceptions of motivation, success, and completion. Online Learning, 21(2), n2. https://doi.org/10.24059/olj.v21i2 .889

Maag, J. W., Rutherford Jr, R. B., & Digangi, S. A. (1992). Effects of self‐monitoring and contingent reinforcement on on‐task behavior and academic productivity of learning‐disabled students: A social validation study. Psychology in the Schools, 29(2), 157-172.

Makany, T., Kemp, J., & Dror, I. E. (2009). Optimising the use of note‐taking as an external cognitive aid for increasing learning. British Journal of Educational Technology, 40(4), 619-635. https://doi.org/10.1111/j.1467-8535.2008.00906.x

Malone, L. D., & Mastropieri, M. A. (1991). Reading comprehension instruction: Summarization and self-monitoring training for students with learning disabilities. Exceptional Children, 58(3), 270-279. https://doi.org/10.1177%2F001440299105800309

Merriam, S. B. (2001). Andragogy and self-directed learning: Pillars of adult learning theory. In S. B. Merriam (Ed.), The new update on adult learning theory, (Vol. 89) (pp 3-13). San Francisco: Jossey- Bass.

Milligan, C., & Littlejohn, A. (2016). How health professionals regulate their learning in massive open online courses. The Internet and Higher Education, 31, 113-121. https://doi.org/10.1016/j.iheduc.2016.07.005

Milligan, C., & Littlejohn, A. (2017). Why study on a MOOC? The motives of students and professionals. International Review of Research in Open and Distance Learning, 18(2), 92–102. https://doi.org/10.19173/irrodl.v18i2.3033

MIT (2001). MIT to make nearly all course materials available free on the World Wide Web. MIT News. http://web.mit.edu/newsoffice/2001/ocw.html

Nawrot, I., & Doucet, A. (2014). 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, 1077-1082. https://doi.org/10.1145/2567948.2580054

Ossiannilsson, E., Altinay, F., & Altinay, Z. (2015). Analysis of MOOCs practices from the perspective of learner experiences and quality culture. Educational Media International, 52(4), 272-283.

https://doi.org/10.1080/09523987.2015.1125985

Pintrich, P., Wolters, C., & Baxter, G. (2000). Assessing metacognition and self-regulated learning. In G. Schraw & J. C. Impara (Eds.), Issues in the measurement of metacognition, 43–97. Buros Institute of Mental Measurements.

Reich, J., & Ruipérez-Valiente, J. A. (2019). The MOOC pivot. Science, 363(6423), 130-131. https://doi.org/10.1126/science.aav7958

Rieber, L. P. (2017). Participation patterns in a massive open online course (MOOC) about statistics. British Journal of Educational Technology, 48(6), 1295–1304. https://doi.org/10.1111/bjet.12504

Rohs, M., & Ganz, M. (2015). MOOCs and the claim of education for all: A disillusion by empirical data. International review of research in open and distributed learning, 16(6), 1-19. https://doi.org/10.19173/irrodl.v16i6.2033

Romero-Frías, E., Arquero, J. L., & del Barrio-García, S. (2020). Exploring how student motivation relates to acceptance and participation in MOOCs. Interactive Learning Environments, 1-17. https://doi.org/10.1080/10494820.2020.1799020

Schrum, L., & Hong, S. (2002). Dimensions and strategies for online success: Voices from experienced educators. Journal of Asynchronous Learning Networks, 6(1), 57–67. http://actxelearning.pbworks.com/f/10.1.1.109.3649.pdf

Schunk D. H. (1982). Progress of self-monitoring: effects on children’s self-efficacy and achievement. Journal of Experimental Education, 51 (2), 89–93. https://doi.org/10.1080/00220973.1982.11011845

Shah, D. (2019). A review of MOOC stats and trends in 2019. Class Central. https://www.classcentral.com/report/moocs-stats-and-trends-2019/

Shah, D. (2020). By the numbers: MOOCs during the pandemic. Class Central. https://www.classcentral.com/report/mooc-stats-pandemic/

Terras, M. M., & Ramsay, J. (2015). Massive open online courses

(MOOCs): Insights and challenges from a psychological perspective. British Journal of Educational Technology, 46(3), 472-487. https://doi.org/10.1111/bjet.12274

Titsworth, S., & Kiewra, K. A. (2004). Organizational lecture cues and student note taking. Contemporary Educational Psychology, 29, 447–461. https://doi.org/10.1016/j.cedpsych.2003.12.001

Veletsianos, G., Collier, A., & Schneider, E. (2015). Digging deeper into learners’ experiences in MOOCs: Participation in social networks outside of MOOCs, notetaking and contexts surrounding content consumption. British Journal of Educational Technology, 46(3), 570-587. https://doi.org/10.1111/bjet.12297

Walji, S., Deacon, A., Small, J., Czerniewicz, L., & Czerniewicz, L. (2016). Learning through engagement: MOOCs as an emergent form of provision. Distance Education, 37(2), 208-223. https://doi.org/10.1080/01587919.2016.1184400

Wang, Y., & Baker, R. (2015). Content or platform: Why do students complete MOOCs? Journal of Online Learning and Teaching, 11(1), 17.

Weller, M. (2014). Battle for open: How openness won and why it doesn’t feel like victory. London: Ubiquity Press. https://doi.org/10.5334/bam

Wiley, D., & Hilton III, J. (2009). Openness, dynamic specialization, and the disaggregated future of higher education. The International Review of Research in Open and Distributed Learning, 10(5). https://doi.org/10.19173/irrodl.v10i5.768

Winne, P. H. (1996). A metacognitive view of individual differences in self-regulated learning. Learning and Individual Differences, 8(4), 327–353. https://doi.org/10.1016/S1041-6080(96)90022-9

Yin, R. (2013). Case study research: Design and methods (5th ed.). Sage.

Zhang, K., Bonk, C. J., Reeves, T. C., & Reynolds, T. H. (Eds.). (2020). MOOCs and open education in the Global South: Challenges, successes, and opportunities. Routledge.

Zheng, S., Rosson, M. B., Shih, P. C., & Carroll, J. M. (2015). Understanding student motivation, behaviors and perceptions in MOOCs. In Proceedings of the 18th ACM conference on computer supported cooperative work & social computing, 1882-1895. https://doi.org/10.1145/2675133.2675217

Zhu, M. (2021). Enhancing MOOC learners’ skills for self-directed learning. Distance Education, 42(3), 441-460. https://doi.org/10.1080/01587919.2021.1956302

Zhu, M., & Bonk, C. J. (2019a). Designing MOOCs to facilitate participant self-directed learning: An analysis of instructor perspectives and practices. International Journal of Self-Directed Learning, 16(2), 39–60. https://6c02e432-3b93-4c90-8218-8b8267d6b37b.flesusr.com/ugd/6c1db2_3ab135498618442abe908811fb68a1b2.pdf.

Zhu, M., & Bonk, C. J. (2019b). Designing MOOCs to facilitate participant self-monitoring for self-directed learning. Online Learning, 23(4), 106–134. https://doi.org/10.24059/olj.v23i4.2037.

Zhu, M., Bonk, C. J., & Doo, M. Y. (2020). Self-directed learning in MOOCs: Exploring the relationships among motivation, self-monitoring, and self-management. Educational Technology Research & Development, 68(5), 2073–2093. https://doi.org/10.1007/s11423-020-09747-8

Zhu, M., Bonk, C., & Sari, A. (2018). Instructors’ experience of designing MOOCs in higher education: Considerations and challenges. Online Learning, 22(4), 203-241. https://doi.org/10.24059/olj.v22i4.1495

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2022-03-01

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Section II