IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i22p15157-d973818.html
   My bibliography  Save this article

Research Status, Hotspots, and Evolutionary Trends of Global Digital Education via Knowledge Graph Analysis

Author

Listed:
  • Duo Yang

    (School of Computer and Information, 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)

  • Dingpu Shi

    (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)

  • Dan Wang

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

  • Xiaohong Chen

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

  • Jiu Liu

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

Abstract

With the rapid development of emerging technologies such as big data, artificial intelligence, and blockchain and their wide application in education, digital education has received widespread attention in the international education field. The outbreak of COVID-19 in December 2019 further catalyzed the digitalization process in various industries, including education, and forced the education system to carry out digital reform and innovation. Digital education transformation has become a new hotspot of great interest in countries around the world and a major direction for education reform practices. Therefore, to better understand the status of global digital education research, this study uses CiteSpace (6.1.R2) visual analysis software to visualize and quantitatively analyze the literature on digital education research in the social science citation index (SSCI). First, the basic information of digital education was analyzed in terms of annual publication volume, authors, countries, and research institutions. Secondly, the main fields, basic contents, and research hotspots of digital education research were analyzed by keyword co-occurrence analysis mapping and keyword time zone mapping. Finally, the research frontiers and development trends of digital education between 2000 and 6 September 2022 were analyzed by cocitation clustering and citations. The results show that, based on the changes in annual publication volume, we can divide the development pulse of the digital education research field into three stages: the budding stage (2000–2006), the slow development stage (2007–2017), and the rapid development stage (6 September 2018–2022); there are 26 core authors in this field of research, among which Selwyn N has the highest number of publications; the USA, England, Spain, Australia, and Germany have the highest number of publications; Open Univ is the institution with the most publications; digital education’s research hotspots are mainly focused on interdisciplinary field practice research and adaptive education research based on big data support. The research frontiers are mainly related to five areas: interdisciplinary development, educational equity, digital education practice, digital education evaluation, and digital education governance. This paper systematically analyzes the latest developments in global digital education research, and objectively predicts that human–computer interdisciplinary teaching models and smart education may become a future development trend of digital education. The findings of this study are useful to readers for understanding the full picture of digital education research so that researchers can conduct more in-depth and targeted research to promote better development of digital education.

Suggested Citation

  • Duo Yang & Jincheng Zhou & Dingpu Shi & Qingna Pan & Dan Wang & Xiaohong Chen & Jiu Liu, 2022. "Research Status, Hotspots, and Evolutionary Trends of Global Digital Education via Knowledge Graph Analysis," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15157-:d:973818
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/22/15157/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/22/15157/
    Download Restriction: no
    ---><---

    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. Chaomei Chen & Loet Leydesdorff, 2014. "Patterns of connections and movements in dual-map overlays: A new method of publication portfolio analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(2), pages 334-351, February.
    3. Deborah Agostino & Michela Arnaboldi & Melisa Diaz Lema, 2021. "New development: COVID-19 as an accelerator of digital transformation in public service delivery," Public Money & Management, Taylor & Francis Journals, vol. 41(1), pages 69-72, January.
    4. Priscila Berger & Jens Wolling, 2019. "They Need More Than Technology-Equipped Schools: Teachers’ Practice of Fostering Students’ Digital Protective Skills," Media and Communication, Cogitatio Press, vol. 7(2), pages 137-147.
    5. Marta Marsilio & Giulia Cappellaro & Corrado Cuccurullo, 2011. "The Intellectual Structure Of Research Into PPPs," Public Management Review, Taylor & Francis Journals, vol. 13(6), pages 763-782, September.
    6. 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.
    7. S. Phineas Upham & Henry Small, 2010. "Emerging research fronts in science and technology: patterns of new knowledge development," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 15-38, April.
    8. Jiazhen Zhang & Jeremy Cenci & Vincent Becue & Sesil Koutra & Christos S. Ioakimidis, 2020. "Recent Evolution of Research on Industrial Heritage in Western Europe and China Based on Bibliometric Analysis," Sustainability, MDPI, vol. 12(13), pages 1-15, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qingna Pan & Jincheng Zhou & Duo Yang & Dingpu Shi & Dan Wang & Xiaohong Chen & Jiu Liu, 2023. "Mapping Knowledge Domain Analysis in Deep Learning Research of Global Education," Sustainability, MDPI, vol. 15(4), pages 1-22, February.
    2. Muxia Yao & Bin Yao & Jeremy Cenci & Chenyang Liao & Jiazhen Zhang, 2023. "Visualisation of High-Density City Research Evolution, Trends, and Outlook in the 21st Century," Land, MDPI, vol. 12(2), pages 1-27, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qingna Pan & Jincheng Zhou & Duo Yang & Dingpu Shi & Dan Wang & Xiaohong Chen & Jiu Liu, 2023. "Mapping Knowledge Domain Analysis in Deep Learning Research of Global Education," Sustainability, MDPI, vol. 15(4), pages 1-22, February.
    2. Alfonso Ávila-Robinson & Shintaro Sengoku, 2017. "Tracing the knowledge-building dynamics in new stem cell technologies through techno-scientific networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1691-1720, September.
    3. Hailiang Li & M. James C. Crabbe & Haikui Chen, 2020. "History and Trends in Ecological Stoichiometry Research from 1992 to 2019: A Scientometric Analysis," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    4. Xuefeng Wang & Shuo Zhang & Yuqin liu, 2022. "ITGInsight–discovering and visualizing research fronts in the scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6509-6531, November.
    5. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    6. Minxi Wang & Ping Liu & Zhaoliang Gu & Hong Cheng & Xin Li, 2019. "A Scientometric Review of Resource Recycling Industry," IJERPH, MDPI, vol. 16(23), pages 1-18, November.
    7. Li, Menghui & Yang, Liying & Zhang, Huina & Shen, Zhesi & Wu, Chensheng & Wu, Jinshan, 2017. "Do mathematicians, economists and biomedical scientists trace large topics more strongly than physicists?," Journal of Informetrics, Elsevier, vol. 11(2), pages 598-607.
    8. Lu, Kun & Yang, Guancan & Wang, Xue, 2022. "Topics emerged in the biomedical field and their characteristics," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    9. Liu, Xiang & Jiang, Tingting & Ma, Feicheng, 2013. "Collective dynamics in knowledge networks: Emerging trends analysis," Journal of Informetrics, Elsevier, vol. 7(2), pages 425-438.
    10. Andrej Kastrin & Dimitar Hristovski, 2021. "Scientometric analysis and knowledge mapping of literature-based discovery (1986–2020)," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1415-1451, February.
    11. Zongrun Wang & Yiyun Tan & Xin Lu, 2024. "Twenty Years of Resilient City Research: Reviews and Perspectives," Sustainability, MDPI, vol. 16(24), pages 1-23, December.
    12. Zongmin Li & Shuyan Xu & Liming Yao, 2018. "A Systematic Literature Mining of Sponge City: Trends, Foci and Challenges Standing Ahead," Sustainability, MDPI, vol. 10(4), pages 1-19, April.
    13. Yanqin Zhang & Xianli You & Shanjun Huang & Minhua Wang & Jianwen Dong, 2022. "Knowledge Atlas on the Relationship between Water Management and Constructed Wetlands—A Bibliometric Analysis Based on CiteSpace," Sustainability, MDPI, vol. 14(14), pages 1-28, July.
    14. Setareh Boshrouei Shargh & Mostafa Zandieh & Ashkan Ayough & Farbod Farhadi, 2024. "Scheduling in services: a review and bibliometric analysis," Operations Management Research, Springer, vol. 17(2), pages 754-783, June.
    15. Ruifeng Gong & Jian Xue & Laijun Zhao & Oleksandra Zolotova & Xiaoqing Ji & Yan Xu, 2019. "A Bibliometric Analysis of Green Supply Chain Management Based on the Web of Science (WOS) Platform," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    16. Oleg Ena & Nadezhda Mikova & Ozcan Saritas & Anna Sokolova, 2016. "A methodology for technology trend monitoring: the case of semantic technologies," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1013-1041, September.
    17. Xu, Zeshui & Wang, Xindi & Wang, Xinxin & Skare, Marinko, 2021. "A comprehensive bibliometric analysis of entrepreneurship and crisis literature published from 1984 to 2020," Journal of Business Research, Elsevier, vol. 135(C), pages 304-318.
    18. Jianhua Hou & Xiucai Yang & Chaomei Chen, 2018. "Emerging trends and new developments in information science: a document co-citation analysis (2009–2016)," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 869-892, May.
    19. Luqi Wang & Xiaolong Xue & Zebin Zhao & Zeyu Wang, 2018. "The Impacts of Transportation Infrastructure on Sustainable Development: Emerging Trends and Challenges," IJERPH, MDPI, vol. 15(6), pages 1-24, June.
    20. Xiaohong Chen & Jincheng Zhou & Jinqiu Wang & Dan Wang & Jiu Liu & Dingpu Shi & Duo Yang & Qingna Pan, 2022. "Visualizing Status, Hotspots, and Future Trends in Mathematical Literacy Research via Knowledge Graph," Sustainability, MDPI, vol. 14(21), pages 1-19, October.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15157-:d:973818. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.