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Visualization Analysis of Global Self-Regulated Learning Status, Hotspots, and Future Trends Based on Knowledge Graph

Author

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  • Linchao Huang

    (School of Mathematics and Statistics, Qiannan Normal University for Nationalities, Duyun 558000, China)

  • Jincheng Zhou

    (School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China
    Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, Duyun 558000, China
    Key Laboratory of Complex Systems and Intelligent Optimization of Qiannan, Duyun 558000, China)

  • Dan Wang

    (School of Mathematics and Statistics, Qiannan Normal University for Nationalities, Duyun 558000, China
    Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, Duyun 558000, China
    Key Laboratory of Complex Systems and Intelligent Optimization of Qiannan, Duyun 558000, China)

  • Fang Wang

    (School of Chemistry and Chemical Engineering, Qiannan Normal University for Nationalities, Duyun 558000, China)

  • Jiu Liu

    (School of Mathematics and Statistics, Qiannan Normal University for Nationalities, Duyun 558000, China)

  • Dingpu Shi

    (School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China)

  • Xiaohong Chen

    (School of Mathematics and Statistics, Qiannan Normal University for Nationalities, Duyun 558000, China)

  • Duo Yang

    (School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China)

  • Qingna Pan

    (School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China)

Abstract

Self-regulated learning (SRL) has been an important topic in the field of global educational psychology research since the last century, and its emergence is related to researchers’ reflections on several educational reforms. To better study the research history and developmental trend of SRL, in this work, the Web of Science core collection database was used as a sample source, “self-regulated learning” was searched as the theme, and 1218 SSCI documents were collected from 30 September 1986, to 2022. We used CiteSpace software to visualize and analyze the number of publications, countries, institutions, researchers, keywords, highly cited literature, authors’ co-citations, keyword clustering, and timeline in the field of self-regulated learning research, and to draw related maps. It was found that the articles related to self-regulated learning were first published in the American Journal of Educational Research in 1986, and that self-regulated learning-related research has received increasing attention in recent decades, wherein research on self-regulated learning is roughly divided into three periods: the budding period from 1986 to 2002, the flat development period from 2003 to 2009, and the rapid development period from 2010 to 2022. The number of papers published in the United States, China, Australia, and Germany is relatively high, and the number of papers published in Spain is low compared with that in the United States. During this period, the University of North Carolina in the United States and McGill University in Canada were the institutions with the most publications; Azevedo Roger and Lajoie Susanne P were the most-published scholars in the field of self-regulated learning research; the journal publication with the highest impact factor was Computers Education; and the primary research interests in self-regulated learning mainly focused on Performance, Strategy, Students, Achievement, Motivation, and Metacognition. Furthermore, the most-cited study related to SRL research was Formative assessment and self-regulated learning: a model and seven principles of good feedback practice.

Suggested Citation

  • Linchao Huang & Jincheng Zhou & Dan Wang & Fang Wang & Jiu Liu & Dingpu Shi & Xiaohong Chen & Duo Yang & Qingna Pan, 2023. "Visualization Analysis of Global Self-Regulated Learning Status, Hotspots, and Future Trends Based on Knowledge Graph," Sustainability, MDPI, vol. 15(3), pages 1-20, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2798-:d:1057025
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    References listed on IDEAS

    as
    1. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    2. Yating Zhao & Jingjing Guo & Chao Bao & Changyong Liang & Hemant K Jain, 2020. "Knowledge Graph Analysis of Human Health Research Related to Climate Change," IJERPH, MDPI, vol. 17(20), pages 1-19, October.
    3. Dingpu Shi & Jincheng Zhou & Dan Wang & Xiaopeng Wu, 2022. "Research Status, Hotspots, and Evolutionary Trends of Intelligent Education from the Perspective of Knowledge Graph," Sustainability, MDPI, vol. 14(17), pages 1-18, September.
    4. Duomin Wang & Yubin Huangfu & Zuoji Dong & Yiqi Dong, 2022. "Research Hotspots and Evolution Trends of Carbon Neutrality—Visual Analysis of Bibliometrics Based on CiteSpace," Sustainability, MDPI, vol. 14(3), pages 1-27, January.
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