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Cited by 720

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Exploring the factors affecting MOOC retention: A survey study

Open access
Hone, Kate S., El Said, Ghada R.·2016·Computers & Education
DOI 10.1016/j.compedu.2016.03.016
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Abstract

Massive Open Online Courses (MOOCs) hold the potential to open up educational opportunities to a global audience. However, evidence suggests that only a small proportion of MOOC participants go on to complete their courses and relatively little is understood about the MOOC design and implementation factors that influence retention. This paper reports a survey study of 379 participants enrolled at university in Cairo who were encouraged to take a MOOC of their own choice as part of their development. 122 participants (32.2%) went onto to complete an entire course. There were no significant differences in completion rates by gender, level of study (undergraduate or postgraduate) or MOOC platform. A post-MOOC survey of students' perceptions found that MOOC Course Content was a significant predictor of MOOC retention, with the relationship mediated by the effect of content on the Perceived Effectiveness of the course. Interaction with the instructor of the MOOC was also found to be significant predictor of MOOC retention. Overall these constructs explained 79% of the variance in MOOC retention.

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Metadata

Authors
Hone, K. S., & El Said, G. R.
Venue
Computers & Education
Publisher
Elsevier BV
Published
2016-07
Volume
98
Pages
157-168
ISSN
0360-1315 (ISSN-L)
DOI
10.1016/j.compedu.2016.03.016
OpenAlex
W2333693388
Cited by
720
References
18
FWCI
93.84
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Exploring the factors affecting MOOC retention: A survey study. https://app.cochat.ai/papers/10.1016/j.compedu.2016.03.016
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Hone, K. S., & El Said, G. R. (2016). Exploring the factors affecting MOOC retention: A survey study. Computers & Education. https://doi.org/10.1016/j.compedu.2016.03.016

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.