Where is research on massive open online courses headed? A data analysis of the MOOC Research Initiative
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 submissi...
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2014
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oai:doaj.org-article:2acf85e57e85420d801e9a0d539470592021-12-02T19:25:21ZWhere is research on massive open online courses headed? A data analysis of the MOOC Research Initiative10.19173/irrodl.v15i5.19541492-3831https://doaj.org/article/2acf85e57e85420d801e9a0d539470592014-10-01T00:00:00Zhttp://www.irrodl.org/index.php/irrodl/article/view/1954https://doaj.org/toc/1492-3831This 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.Dragan GasevicVitomir KovanovicSrecko JoksimovicGeorge SiemensAthabasca University Pressarticlemassive online open coursesMOOCcontent analysisMOOC research analysisMOOC Research Initiativeeducation researchSpecial aspects of educationLC8-6691ENInternational Review of Research in Open and Distributed Learning, Vol 15, Iss 5 (2014) |
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massive online open courses MOOC content analysis MOOC research analysis MOOC Research Initiative education research Special aspects of education LC8-6691 |
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massive online open courses MOOC content analysis MOOC research analysis MOOC Research Initiative education research Special aspects of education LC8-6691 Dragan Gasevic Vitomir Kovanovic Srecko Joksimovic George Siemens Where is research on massive open online courses headed? A data analysis of the MOOC Research Initiative |
description |
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. |
format |
article |
author |
Dragan Gasevic Vitomir Kovanovic Srecko Joksimovic George Siemens |
author_facet |
Dragan Gasevic Vitomir Kovanovic Srecko Joksimovic George Siemens |
author_sort |
Dragan Gasevic |
title |
Where is research on massive open online courses headed? A data analysis of the MOOC Research Initiative |
title_short |
Where is research on massive open online courses headed? A data analysis of the MOOC Research Initiative |
title_full |
Where is research on massive open online courses headed? A data analysis of the MOOC Research Initiative |
title_fullStr |
Where is research on massive open online courses headed? A data analysis of the MOOC Research Initiative |
title_full_unstemmed |
Where is research on massive open online courses headed? A data analysis of the MOOC Research Initiative |
title_sort |
where is research on massive open online courses headed? a data analysis of the mooc research initiative |
publisher |
Athabasca University Press |
publishDate |
2014 |
url |
https://doaj.org/article/2acf85e57e85420d801e9a0d53947059 |
work_keys_str_mv |
AT dragangasevic whereisresearchonmassiveopenonlinecoursesheadedadataanalysisofthemoocresearchinitiative AT vitomirkovanovic whereisresearchonmassiveopenonlinecoursesheadedadataanalysisofthemoocresearchinitiative AT sreckojoksimovic whereisresearchonmassiveopenonlinecoursesheadedadataanalysisofthemoocresearchinitiative AT georgesiemens whereisresearchonmassiveopenonlinecoursesheadedadataanalysisofthemoocresearchinitiative |
_version_ |
1718376548143202304 |