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Subject Analysis in the Hotspots of MOOC Based on the Cooperative Team

Published: 05 July 2018 Publication History

Abstract

As a new type of teaching model, MOOC has been favored and praised by scholars since its introduction in China. It has triggered the "tsunami" in the history of education and "formed a true education revolution" and gradually changed the landscape of education. This paper takes the research of 1065 papers in the CSSCI as the subject, and analyzes the characteristics of the papers in the MOOC field from three aspects: the cooperation degree, the journal publication and the author co-authorship network. A representative research team analyzes the characteristics of the representative cooperative team in the MOOC field. Finally, it used the Google Scholar to retrieve all the MOOC-related papers published by the representative team members and build a "team-keyword" co-occurrence matrix. The results show that the research of MOOC in China mainly aims at six aspects: research on concept and connotation, MOOC and online education reform, MOOC and college teachers, MOOC and mobile learning, course construction and teaching mode of admiration.

References

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Mou, Z. The number is the highest in the world and 55 million people are studying at the forefront - China's MOOC construction has entered the forefront of the world (Feb, 2018)., DOI= http://www.moe.edu.cn/ S78/A08/moe_745/201801/t20180116_324673.html.
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Fan, M. R. 2017. Analysis of Research Hotspots and Development Trends of MOOC in China. Modern Educational Technology, 3(2017), 34--40.
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Shi, X.J. Li, and M. L. 2016. International MOOC Research Hotspots and Trends: Citespace Visualization Analysis Based on 2013-2015 Literature. Open Education Research, 1(2016), 90--99.
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Li, Y.R. 2015. A review of domestic research status of MOOCs (MOOCs): Hotspots and Trends: A Co-word Visualization Analysis based on the CNKI-published Keywords from 2009 to 2014. Audio Science and Education Research, 7(2015), 55--60.
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Zhu, X. H. M, R. M. and S, L. et al. 2016. Semantic Similarity Calculation of Words Based on HowNet and Term Forest {J}. Chinese Journal of Information, 4(2016):29--36.
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deWaard, I; Abajian, S; Gallagher, MS, et al. Using mLearning and MOOCs to Understand Chaos, Emergence, and Complexity in Education {J}. INTERNATIONAL REVIEW OF RESEARCH IN OPEN AND DISTANCE LEARNING. 2011, Vol. 12(No. 7):94--115.

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  1. Subject Analysis in the Hotspots of MOOC Based on the Cooperative Team

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    cover image ACM Other conferences
    ICEBT '18: Proceedings of the 2018 2nd International Conference on E-Education, E-Business and E-Technology
    July 2018
    202 pages
    ISBN:9781450364812
    DOI:10.1145/3241748
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Beijing University of Technology

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    Association for Computing Machinery

    New York, NY, United States

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    Published: 05 July 2018

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    1. MOOC
    2. co-word analysis
    3. cooperative team

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