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The role of students' motivation and participation in predicting performance in a MOOC

Published: 01 June 2016 Publication History

Abstract

Over the last 5years, massive open online courses MOOCs have increasingly provided learning opportunities across the world in a variety of domains. As with many emerging educational technologies, why and how people come to MOOCs needs to be better understood and importantly what factors contribute to learners' MOOC performance. It is known that online learning environments require greater levels of self-regulation, and that high levels of motivation are crucial to activate these skills. However, motivation is a complex construct and research on how it functions in MOOCs is still in its early stages. Research presented in this article investigated how motivation and participation influence students' performance in a MOOC, more specifically those students who persist to the end of the MOOC. Findings indicated that the strongest predictor of performance was participation, followed by motivation. Motivation influenced and was influenced by students' participation during the course. Moreover, situational interest played a crucial role in mediating the impact of general intrinsic motivation and participation on performance. The results are discussed in relation to how educators and designers of MOOCs can use knowledge emerging from motivational assessments and participation measures gleaned from learning analytics to tailor the design and delivery of courses. © 2016 John Wiley & Sons Ltd

References

[1]
Ainley, M. D. 2006. Connecting with learning: Motivation, affect and cognition in interest processes. Educational Psychology Review, Volume 18, pp.391-405.
[2]
Ainley, M. D. 2010. Interest in the dynamics of task behavior: Processes that link person and task in effective learning. In T. C.Urdan &S. A.Karabenick Eds., The decade ahead: Theoretical perspectives on motivation and achievement Volume 16A: Advances in motivation and achievement pp. pp.235-264. Bingley, UK: Emerald.
[3]
Ainley, M. D., &Patrick, L. 2006. Measuring self-regulated learning processes through tracking patterns of student interaction with achievement activities. Educational Psychology Review, Volume 18, pp.267-286.
[4]
Ames, C. 1992. Classrooms: Goals, structures, and student motivation. Journal of Educational Psychology, Volume 84, pp.261-271.
[5]
Belenky, D. M., &Nokes-Malach, T. J. 2012. Motivation and transfer: The role of mastery-approach goals in preparation for future learning. Journal of the Learning Sciences, Volume 21, pp.399-432.
[6]
Blackwell, L. S., Trzesniewski, K. H., &Dweck, C. S. 2007. Implicit theories of intelligence predict achievement across an adolescent transition: A longitudinal study and an intervention. Child Development, Volume 78, pp.246-263.
[7]
Bollen, K. A., &Stine, R. A. 1992. Bootstrapping goodness-of-fit measures in structural equation models. Sociological Methods and Research, Volume 21, pp.205-229.
[8]
Breslow, L., Pritchard, D. E., DeBoer, J., Stump, G. S., Ho, A. D., &Seaton, D. T. 2013. Studying learning in the worldwide classroom: Research into edX's first MOOC. Research & Practice in Assessment, Volume 8, pp.13-25. Retrieved from "http://mooc.pku.edu.cn/source/resource/01.pdf"
[9]
Christensen, G., Steinmetz, A., Alcorn, B., Bennett, A., Woods, D., &Emanuel, E. J. 2013. The MOOC phenomenon: Who takes massive open online courses and why? Social Science Research Network.
[10]
Clow, D. 2013. MOOCs and the funnel of participation. In D.Suthers, K.Verbert, E.Duval, &X.Ochoa Eds., Proceedings of the Third International Conference on Learning Analytics and Knowledge pp. pp.185-189. New York, NY: Association for Computing Machinery.
[11]
Daniel, J. 2012. Making sense of MOOCs: Musings in a maze of myth, paradox and possibility. Journal of Interactive Media in Education, Volume 3, pp.1-20.
[12]
De Barba, P. 2015. Achievement motivation and autonomous learning in online environments. Australia: PhD thesis in preparation, The University of Melbourne.
[13]
Durik, A. M., &Harackiewicz, J. M. 2007. Different strokes for different folks: How individual interest moderates the effects of situational factors on task interest. Journal of Educational Psychology, Volume 99, pp.597-610.
[14]
Dweck, C. S. 1986. Motivational processes affecting learning. American Psychologist, Volume 41, pp.1040-1048.
[15]
Eccles, J. S., &Wigfield, A. 2002. Motivational beliefs, values, and goals. Annual Review of Psychology, Volume 53, pp.109-132.
[16]
Eccles, J. S., Wigfield, A., &Schiefele, U. 1998. Motivation to succeed. In W.Damon &N.Eisenberg Eds., Handbook of child psychology: Vol. 3. Social, emotional, and personality development pp. pp.1017-1095. New York, NY: Wiley.
[17]
Elliot, A. J., &McGregor, H. A. 2001. A 2×2 achievement goal framework. Journal of Personality and Social Psychology, Volume 80, pp.501-519.
[18]
Garson, G. D. 2012. Structural equation modeling. Asheboro, NC: Statistical Associates Publishers.
[19]
Gogol, K., Brunner, M., Goetz, T., Martin, R., Ugen, S., Keller, U., ' Prenzel, F. 2014. 'My questionnaire is too long!' The assessments of motivational-affective constructs with three-item and single-item measures. Contemporary Educational Psychology, Volume 39, pp.188-205.
[20]
Greene, D. 2013. Learning analytics for smarter psychological interventions. Retrieved from "http://www.moocresearch.com/wp-content/uploads/2014/06/C9337_GREEN_MOOC-Research-InitiativeGreene9337.pdf"
[21]
Harackiewicz, J. M., Durik, A. M., Barron, K. E., Linnenbrink-Garcia, L., &Tauer, J. M. 2008. The role of achievement goals in the development of interest: Reciprocal relations between achievement goals, interest, and performance. Journal of Educational Psychology, Volume 100, pp.105-122.
[22]
Hart, C. 2012. Factors associated with student persistence in an online program of study: a review of the literature. Journal of Interactive Online Learning, Volume 11, pp.19-42. Retrieved from http://¿www.¿ncolr.¿org/¿jiol/¿issues/¿pdf/¿11.¿1.¿2.¿pdf
[23]
Hidi, S. 1990. Interest and its contribution as a mental resource for learning. Review of Educational Research, Volume 60, pp.549-571.
[24]
Hidi, S., &Harackiewicz, J. M. 2000. Motivating the academically unmotivated: A critical issue for the 21st century. Review of Educational Research, Volume 70, pp.151-179.
[25]
Hidi, S., &Renninger, K. A. 2006. The four-phase model of interest development. Educational Psychologist, Volume 41, pp.111-127.
[26]
Hulleman, C. S. 2007. The role of utility value in the development of interest and achievement. Madison, WI: Unpublished doctoral dissertation, University of Wisconsin.
[27]
Kennedy, G. E. 2004. Promoting cognition in multimedia interactivity research. Journal of Interactive Learning Research, Volume 15, pp.43-61.
[28]
Kim, J., Guo, P. J., Seaton, D. T., Mitros, P., Gajos, K. Z., &Miller, R. C. 2014. Understanding in-video dropouts and interaction peaks in online lecture videos. In M.Sahami, A.Fox, M. A.Hearst, &M. T. H.Chi. Eds., Proceedings of the First ACM Learning@Scale conference pp. pp.31-40. New York, NY: Association for Computing Machinery.
[29]
Kizilcec, R. F., Piech, C., &Schneider E. 2013. Deconstructing disengagement: Analyzing learner subpopulations in massive open online courses. In D.Suthers, K.Verbert, E.Duval, &X.Ochoa Eds., Proceedings of the Third International Conference on Learning Analytics and Knowledge pp. pp.170-179. New York, NY: Association for Computing Machinery.
[30]
Littlejohn, A. 2013. Understanding Massive Open Online Courses. UK, Caledonian Academy Glasgow, Caledonian University. Retrieved from "http://cemca.org.in/ckfinder/userfiles/files/EdTech%20Notes%202_Littlejohn_final_1June2013.pdf"
[31]
Liyanagunawardena, T. R., Adams, A. A., &Williams, S. A. 2013. MOOCs: a systematic study of the published literature 2008-2012. The International Review of Research in Open and Distance Learning, Volume 14. Retrieved from "http://www.irrodl.org"
[32]
McGregor, H. A., &Elliot, A. J. 2002. Achievement goals as predictors of achievement-relevant processes prior to task engagement. Journal of Educational Psychology, Volume 94, pp.381-394.
[33]
Milligan, C., Littlejohn, A., &Margaryan, A. 2013. Patterns of engagement in connectivist MOOCs. MERLOT Journal of Online Learning and Teaching, Volume 9. Retrieved from "http://jolt.merlot.org"
[34]
MOOCs@Edinburgh Group. 2013. MOOCs@Edinburgh Report #1. Retrieved from "https://www.era.lib.ed.ac.uk/bitstream/1842/6683/1/Edinburgh%20MOOCs%20Report%202013%20%231.pdf"
[35]
Mooney, C. Z., &Duval, R. D. 1993. Bootstrapping: A nonparametric approach to statistical inference. Newbury Park, CA: Sage.
[36]
Nicholls, J. G. 1984. Achievement motivation: Conceptions of ability, subjective experience, task choice, and performance. Psychological Review, Volume 91, pp.328-346.
[37]
Preacher, K. J., &Hayes, A. F. 2004. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, Volume 36, pp.717-731.
[38]
Preacher, K. J., Rucker, D. D., &Hayes, A. F. 2007. Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, Volume 42, pp.185-227.
[39]
Pintrich, P. R. 2000. Multiple goals, multiple pathways: The role of goal orientation in learning and achievement. Journal of Educational Psychology, Volume 92, pp.544-555.
[40]
Pintrich, P. R. 2003. A motivational science perspective on the role of student motivation in learning and teaching contexts. Journal of Educational Psychology, Volume 95, pp.667-686.
[41]
Pintrich, P. R., Smith, D. A., García, T., &McKeachie, W. J. 1991. A manual for the use of the Motivated Strategies for Learning Questionnaire MSLQ. Ann Arbor, MI: National Centre For Research to Improve Postsecondary Teaching and Learning.
[42]
Rayyan, S., Seaton, D. T., Belcher, J., Pritchard, D. E., &Chuang, I. 2013. Participation and performance in 8.02x electricity and magnetism: The first physics MOOC from MITx. In P. V.Engelhardt, A. D.Churukian, &D. L.Jones Eds., Proceedings of the 2013 Physics Education Research Conference pp. pp.289-292. College Park, MD: American Association of Physics Teachers.
[43]
Renninger, K. A. 1990. Children's play interests, representation, and activity. In R.Fivush &K.Hudson Eds., Knowing and remembering in young children pp. pp.127-165. New York, NY: Cambridge University Press.
[44]
Rotgans, J. I., &Schmidt, H. G. 2011. Situational interest and academic achievement in the active-learning classroom. Learning and Instruction, Volume 21, pp.58-67.
[45]
Senko, C., Hulleman, C. S., &Harackiewicz, J. M. 2011. Achievement goal theory at the crossroads: Old controversies, current challenges, and new directions. Educational Psychologist, Volume 46, pp.26-47.
[46]
Siemens, G. 2005. Connectivism: A learning theory for the digital age. International Journal of Instructional Technology and Distance Learning, Volume 2. Retrieved from "http://www.itdl.org"
[47]
Sun, J. C. Y., &Rueda, R. 2012. Situational interest, computer self-efficacy and self-regulation: Their impact on student engagement in distance education. British Journal of Educational Technology, Volume 43, pp.191-204.
[48]
Vallerand, R. J., Fortier, M. S., &Guay, F. 1997. Self-determination and persistence in a real-life setting: Toward a motivational model of high school dropout. Journal of Personality and Social Psychology, Volume 72, pp.1161-1175.
[49]
Vanthournout, G., Gijbels, D., Coertjens, L., Donche, V., &Van Petegem, P. 2012. Students' persistence and academic success in a first-year professional bachelor program: The influence of students' learning strategies and academic motivation. Education Research International, Volume 2012, pp.1-10.
[50]
Wanous, J. P., Reichers, A. E., &Hudy, M. J. 1997. Overall job satisfaction: How good are single-item measures? Journal of Applied Psychology, Volume 82, pp.247-252.
[51]
Wigfield, A., &Cambria, J. 2010. Students' achievement values, goal orientations, and interest: Definitions, development, and relations to achievement outcomes. Developmental Review, Volume 30 Issue 1, pp.1-35.
[52]
Wigfield, A., &Eccles, J. S. 1992. The development of achievement task values: A theoretical analysis. Developmental Review, Volume 12, pp.265-310.
[53]
Wigfield, A., &Eccles, J. S. 2000. Expectancy-value theory of achievement motivation. Contemporary Educational Psychology, Volume 25, pp.68-81.
[54]
Yang, C. C., Tsai, I., Kim, B., Cho, M. H., &Laffey, J. M. 2006. Exploring the relationships between students' academic motivation and social ability in online learning environments. The Internet and Higher Education, Volume 9, pp.277-286.
[55]
Yuan, L., &Powell, S. 2013. MOOCs and open education: Implications for higher education {White paper}. Bolton, UK: Joint Information Systems Committee, Centre for Educational Technology and Interoperability Standards. Retrieved from "http://publications.cetis.ac.uk/2013/667"

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Published In

cover image Journal of Computer Assisted Learning
Journal of Computer Assisted Learning  Volume 32, Issue 3
June 2016
104 pages
ISSN:0266-4909
EISSN:1365-2729
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John Wiley & Sons, Inc.

United States

Publication History

Published: 01 June 2016

Author Tags

  1. MOOC
  2. learning analytics
  3. motivation
  4. participation
  5. performance
  6. persistence

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