Abstract
This explorative study aimed to get an understanding of MOOC-success as seen from the perspective of the MOOC-taker and the types of barriers which might stand in the way of this success. Data of two MOOCs was used to illustrate MOOC-success from two perspectives and barriers encountered. Following the currently used approach to identify educational success, the success rate of MOOC-II was 5,6%. The success rates from the perspective of the MOOC-taker was 70%. In addition, data of MOOC-I and II showed that the encountered barriers were mainly non-MOOC-related. Workplace issues and lack of time were most frequently indicated. For MOOC-designers’ decision making regarding redesign of a MOOC after evaluation, it is valuable to have insight in these matters to prevent unnecessary design interventions.
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- 1.
Calculation: (422/6452) × 100%.
References
Koller, D., Ng, A., Do, C., Chen, Z.: Retention and intention in massive open online courses: in depth. Educ. Rev. 48(3), 62–63 (2013)
Henderikx, M., Kreijns, K., Kalz, M.: Refining success and dropout in MOOCs based on the intention-behavior gap, submitted
Fishbein, M., Ajzen, I.: Predicting and Changing Behavior: The Reasoned Action Approach. Taylor & Francis, Milton Park (2011)
Sheeran, P.: Intention—behavior relations: a conceptual and empirical review. Eur. Rev. Soc. Psychol. 12(1), 1–36 (2002)
Khalil, H., Ebner, M.: Interaction possibilities in MOOCs – how do they actually happen? In: International Conference on Higher Education Development, pp. 1–24. Mansoura University, Egypt (2013)
Levy, D., Schrire, S.: The case of a massive open online course at a college of education. Informally published manuscript. Kibbutzim College of Education, Technology and the Arts, Israel (2012). http://conference.nmc.org/files/smkbMOOC.pdf
McAuley, A., Stewart, B., Siemens, G., Cormier, D.: Massive open online courses: digital ways of knowing and learning. University of Prince Edward Island, Charlottetown (2010)
Belanger, Y., Thornton, J.: Bioelectricity: A Quantitative Approach. Durham, NC (2013). http://dukespace.lib.duke.edu/dspace/bitstream/handle/10161/6216/Duke_Bioelectricity_MOOC_Fall2012.pdf?sequence=1
Khalil, H., Ebner, M.: MOOCs completion rates and possible methods to improve rentention - a literature review. In: World Conference on Educational Multimedia, Hypermedia and Telecommunications, pp. 1236–1244. AACE, Chesapeak (2014)
Onah, D.F.O., Sinclair, J.E., Boyatt, R.: Dropout rates of massive open online courses: behavioural patterns. In: 6th International conference on Education and New Learning Technologies, pp. 5825–5834. EDULEARN14, Barcelona (2014)
Acknowledgement
This work is financed via a grant by the Dutch National Initiative for Education Research (NRO)/The Netherlands Organisation for Scientific Research (NWO) and the Dutch Ministry of Education, Culture and Science under the grant nr. 405-15-705 (SOONER/http://sooner.nu).
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Henderikx, M., Kreijns, K., Kalz, M. (2017). To Change or Not to Change? That’s the Question… On MOOC-Success, Barriers and Their Implications. In: Delgado Kloos, C., Jermann, P., Pérez-Sanagustín, M., Seaton, D., White, S. (eds) Digital Education: Out to the World and Back to the Campus. EMOOCs 2017. Lecture Notes in Computer Science(), vol 10254. Springer, Cham. https://doi.org/10.1007/978-3-319-59044-8_25
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DOI: https://doi.org/10.1007/978-3-319-59044-8_25
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