Refining success and dropout in massive open online courses based on the intention–behavior gap
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In this paper we present an alternative typology for determining success and dropout in massive open online courses (MOOCs). This typology takes the perspectives of MOOC-takers into account and is based on the their intentions and subsequent behaviour. An explorative study using two MOOCs was carried out to test the applicability of the typology. Following the traditional approach based on course completion to identify educational success, success rates were 6.5 and 5.6%. The success rates from the perspectives of the MOOC-taker were 59 and 70%. These findings demonstrate that merely looking at course completion as a measure for success does not suffice in the context of MOOCs. This change in addressing MOOC success and dropout provides an alternative view and demonstrates the importance of MOOC-takers’ perspectives.
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Hackathons, citizen laboratories, and maker communities promote collaborative experimentation and the creation of solutions with social impact.
“Hackathons, laboratorios ciudadanos y comunidades makers promueven la experimentación colaborativa y la creación de soluciones con impacto social (Henderikx et al., 2017).”
From Entre Códigos y Corazones: Investigación e Inteligencia Artificial hacia una Tecnología más Humana (2025) · cites this paper as Henderikx et al., 2017
The Introduction and Discussion address MOOC participation, success, and dropout, not hackathons, citizen laboratories, or maker communities. Searches for those settings and for collaborative experimentation producing socially impactful solutions found no passage addressing the claim. (LLM, conf=0.76)
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Intention—Behavior Relations: A Conceptual and Empirical Review
Sheeran, P. (2002) · European Review of Social Psychology · doi:10.1080/14792772143000003 · Cited by 3,688 · see citing works
Predicting and Changing Behavior
Fishbein, M., & Ajzen, I. (2011) · doi:10.4324/9780203838020 · Cited by 2,807 · see citing works
Flagged first, then by citations
Research works printed but not linked: 21
- Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155-159. doi:10.1037/0033-2909.112.1.155 · DOI · Paper page
- Deci, E., & Ryan, R. (2002). Handbook of self-determination research. Rochester, NY: University Rochester Press.
- Eisenberg, E., & Dowsett, T. (1990). Student drop-out from a distance education project course: A new method of analysis. Distance Education, 11, 231-253. doi:10.1080/0158791900110205 · DOI
- Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley. doi:10.2307/2065853 · DOI · Paper page
- Garrison, D. R. (1987). Researching dropout in distance education. Distance Education, 8, 95-101. doi:10.1080/0158791870080107 · DOI
- Hassan, L. M., Shiu, E., & Shaw, D. (2014). Who says there is an intention-behaviour gap? Assessing the empirical evidence of an intention-behaviour gap in ethical consumption. Journal of Business Ethics, 136(2), 1-18. doi:10.1007/s10551-014-2440-0 · DOI
- Huin, L., Bergheaud, Y., Caron, P. A., Codina, A., & Disson, E. (2016). Measuring completion and dropout in MOOCs: A learner-centered model. In M. Khalil, M. Ebner, M. Koop, A. Lorenz, & M. Kalz (Eds.), Proceedings of the European MOOC Stakeholder Summit 2016 (pp. 55-68). Norderstedt: Books on Demand GmbH.
- 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, 133-160. doi:10.19173/irrodl. v15i1.1651 · DOI
- Jordan, K. (2015). Massive open online course completion rates revisited: Assessment, length and attrition. The International Review of Research in Open and Distributed Learning, 16, 341-358. doi:10.19173/irrodl.v16i3.2112 · DOI
- Kalz, M., Kreijns, K., Walhout, J., Castaño-Munoz, J., Espasa, A., & Tovar, E. (2015). Establishing a European cross-provider data collection about open online courses. The International Review of Research in Open and Distributed Learning, 16, 62-77. doi:10.19173/irrodl.v16i6.2150 · DOI
- Kreijns, K., Vermeulen, M., Kirschner, P. A., Buuren, H., & Acker, F. (2013). Adopting the Integrative Model of Behaviour Prediction to explain teachers' willingness to use ICT: A perspective for research on teachers' ICT usage in pedagogical practices. Technology, Pedagogy and Education, 22, 55-71. doi:1 0.1080/1475939X.2012.754371 · DOI
- Liyanagunawardena, T. R., Parslow, P., & Williams, S. A. (2014). Dropout: MOOC participants' perspective. In U. Kress, & C. Delgado Kloos (Eds.), Proceedings of the European MOOC Stakeholder Summit 2014 (pp. 95-100). Lausanne: eLearning Papers.
- McBroom, W. H., & Reed, F. W. (1992). Toward a reconceptualization of attitude-behavior consistency. Social Psychology Quarterly, 55, 205-216. Retrieved from http://www.jstor.org/stable/2786946
- Peters, O. (1971). Theoretical aspects of correspondence instruction. In O. MacKenzie, & E. L. Christensen (Eds.), The changing world of correspondence study: International readings (pp. 223-228). University Park: Pennsylvania State University Press.
- Peters, O. (1992). Some observations on dropping out in distance education. Distance Education, 13, 234-269. doi:10.1080/0158791920130206 · DOI
- Roberts, D. (1984). Ways and means of reducing early student drop-out rates. Distance Education, 5, 50-71. doi:10.1080/0158791840050104 · DOI
- Sheeran, P., & Orbell, S. (2000). Self-schemas and the theory of planned behaviour. European Journal of Social Psychology, 30, 533-550. doi:10.1002/1099-0992(200007/08)30: 4<533::AID-EJSP6>3.0.CO;2-F Sutton, S. (1998). Predicting and explaining intentions and behavior: How well are we doing? Journal of Applied Social Psychology, 28, 1317-1338. doi:10.1111/j.1559-1816.1998.tb01679.x · DOI
- Sweet, R. (1986). Student dropout in distance education: An application of Tinto's model. Distance Education, 7, 201-213. doi:10.1080/0158791860070204 · DOI
- Tinto, V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research, 45, 89-125. doi:10.2307/1170024 · DOI · Paper page
- Tinto, V. (1982). Defining dropout: A matter of perspective. New Directions for Institutional Research, 1982, 3-15. doi:10.1002/ir.37019823603 · DOI
- Walji, S., Deacon, A., Small, J., & Czerniewicz, L. (2016). Learning through engagement: MOOCs as an emergent form of provision. Distance Education, 37, 208-223. doi:10.1080/01587919.2016.1184400 · DOI
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Examining the use of prompts to facilitate self-regulated learning in Massive Open Online Courses
Wong, J., Baars, M., de Koning, B. B., & Paas, F. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106596 · Cited by 88 · see citing works
Entre Códigos y Corazones: Investigación e Inteligencia Artificial hacia una Tecnología más Humana
Garcia-Heredia, N. B., & Mujica-Sequera, R. M. (2025) · Revista Docentes 2.0 · doi:10.37843/rted.v18i2.724
- Authors
- Henderikx, M. A., Kreijns, K., & Kalz, M.
- Affiliations
- Open University of the Netherlands (NL)
- Corresponding author
- Henderikx, Maartje A.
- Venue
- Distance Education
- Publisher
- Informa UK Limited
- Published
- 2017-09-02
- Volume
- 38
- Issue
- 3
- Pages
- 353-368
- ISSN
- 0158-7919 (ISSN-L)
- 1475-0198
- OpenAlex
- W2754780169
- Cited by
- 191
- References
- 2
- Citations by year
- 2026: 11 · 2025: 9 · 2024: 28 · 2023: 21 · 2022: 19 · 2021: 26 · 2020: 36 · 2019: 27 · 2018: 14
- FWCI
- 23.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Distance Education (publishedVersion, cc-by)
- DSpace (Open University in the Netherlands) (publishedVersion, cc-by)
- DSpace (Open University in the Netherlands) (submittedVersion, cc-by)
- DSpace (Open University in the Netherlands) (submittedVersion, other-oa)
- Funders
- Dutch National Initiative for Education Research (NRO) (405-15-705)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Social Sciences › Education › Online and Blended Learning
- Physical Sciences › Computer Science › Computer Science Applications › Open Education and E-Learning
- Keywords
- massive open online courses, MOOC dropout, intention-behavior gap, learner intentions, learner behavior, course completion, learner perceptions
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