
Where Is Research on Massive Open Online Courses Headed? A Data Analysis of the MOOC Research Initiative
ARTICLE
Dragan Gaševic, Vitomir Kovanovic, Srecko Joksimovic, George Siemens
IRRODL Volume 15, Number 5, ISSN 1492-3831 Publisher: Athabasca University Press
Abstract
This paper reports on the results of an analysis of the research proposals submitted to the MOOC Research Initiative (MRI) funded by the Gates Foundation and administered by Athabasca University. The goal of MRI was to mobilize researchers to engage into critical interrogation of MOOCs. The submissions--266 in Phase 1, out of which 78 was recommended for resubmission in the extended form in Phase 2, and finally, 28 funded--were analyzed by applying conventional and automated content analysis methods as well as citation network analysis methods. The results revealed the main research themes that could form a framework of the future MOOC research: i) student engagement and learning success, ii) MOOC design and curriculum, iii) self-regulated learning and social learning, iv) social network analysis and networked learning, and v) motivation, attitude and success criteria. The theme of social learning received the greatest interest and had the highest success in attracting funding. The submissions that planned on using learning analytics methods were more successful. The use of mixed methods was by far the most popular. Design-based research methods were also suggested commonly, but the questions about their applicability arose regarding the feasibility to perform multiple iterations in the MOOC context and rather a limited focus on technological support for interventions. The submissions were dominated by the researchers from the field of education (75% of the accepted proposals). Not only was this a possible cause of a complete lack of success of the educational technology innovation theme, but it could be a worrying sign of the fragmentation in the research community and the need to increased efforts towards enhancing interdisciplinarity.
Citation
Gaševic, D., Kovanovic, V., Joksimovic, S. & Siemens, G. (2014). Where Is Research on Massive Open Online Courses Headed? A Data Analysis of the MOOC Research Initiative. The International Review of Research in Open and Distributed Learning, 15(5), 134-176. Athabasca University Press. Retrieved August 13, 2022 from https://www.learntechlib.org/p/156217/.

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Keywords
- attitudes
- Citation Analysis
- content analysis
- Criteria
- curriculum design
- Educational Research
- higher education
- Independent Study
- Interdisciplinary Approach
- learner engagement
- Mixed Methods Research
- motivation
- network analysis
- online courses
- Qualitative Research
- Research Proposals
- social networks
- socialization
- Statistical Analysis
- success
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