Discussing ChatGPT in education: A literature review and bibliometric analysis

被引:50
作者
Pradana, Mahir [1 ,2 ]
Elisa, Hanifah Putri [2 ]
Syarifuddin, Syarifuddin [2 ]
机构
[1] Telkom Univ, Dept Business Adm, Jalan Telekomunikasi 1, Bandung 40257, Indonesia
[2] Telkom Univ, Dept Business Adm, Bandung, Indonesia
来源
COGENT EDUCATION | 2023年 / 10卷 / 02期
关键词
bibliometric; ChatGpt; education; artificial intelligence; OpenAi;
D O I
10.1080/2331186X.2023.2243134
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This article aims to provide a review of existing research on the use of OpenAI ChatGPT in education using bibliometric analysis and systematic literature review. We explored published articles to observe the leading contributors to this field, the important subtopics, and the potential study in the future. We discovered that there is already a rise in the quantity of articles published on this subject between 2022 and 2023. We also map the research clusters using network analysis. The results obtained found a total of 93 articles. The analysis conclude that keywords such as "challenge," "teaching," and "knowledge," have not been thoroughly researched This article contributes to the literature discussing the use of artificial intelligence in education and can be useful for academics and policymakers in education.
引用
收藏
页数:11
相关论文
共 31 条
  • [1] Semisupervised Least Squares Support Vector Machine
    Adankon, Mathias M.
    Cheriet, Mohamed
    Biem, Alain
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2009, 20 (12): : 1858 - 1870
  • [2] Improving KIBS performance using digital transformation: study based on the theory of resources and capabilities
    Alberto Marino-Romero, Jorge
    Palos-Sanchez, Pedro R.
    Velicia-Martin, Elix
    [J]. JOURNAL OF SERVICE THEORY AND PRACTICE, 2023, 33 (02) : 169 - 197
  • [3] Aribowo E. K., 2019, AKSARA, V31, P22, DOI https://doi.org/10.29255/aksara.v31i1.373.85-105
  • [4] ChatGPT: five priorities for research
    Bockting, Claudi
    van Dis, Eva A. M.
    Bollen, Johan
    van Rooij, Robert
    Zuidema, Willem L.
    [J]. NATURE, 2023, 614 (7947) : 224 - 226
  • [5] Bozkurt A., 2023, Asian J. Dist. Educ, V18, P53, DOI DOI 10.5281/ZENODO.7636568
  • [6] XGBoost: A Scalable Tree Boosting System
    Chen, Tianqi
    Guestrin, Carlos
    [J]. KDD'16: PROCEEDINGS OF THE 22ND ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2016, : 785 - 794
  • [7] How to conduct a bibliometric analysis: An overview and guidelines
    Donthu, Naveen
    Kumar, Satish
    Mukherjee, Debmalya
    Pandey, Nitesh
    Lim, Weng Marc
    [J]. JOURNAL OF BUSINESS RESEARCH, 2021, 133 : 285 - 296
  • [8] ChatGPT for (Finance) research: The Bananarama Conjecture
    Dowling, Michael
    Lucey, Brian
    [J]. FINANCE RESEARCH LETTERS, 2023, 53
  • [9] Firat M., 2023, How chat GPT can transform autodidactic experiences and open education?
  • [10] Twenty years of the Journal of Knowledge Management: a bibliometric analysis
    Gaviria-Marin, Magaly
    Merigo, Jose M.
    Popa, Simona
    [J]. JOURNAL OF KNOWLEDGE MANAGEMENT, 2018, 22 (08) : 1655 - 1687