ChatGPT and Education: A Scopus Bibliometric Analysis
- DOI
- 10.2991/978-2-38476-206-4_30How to use a DOI?
- Keywords
- ChatGPT; Education; Academic Integrity
- Abstract
The birth of ChatGPT has caused controversy, especially in the world of education. Various studies have been conducted looking at the positive and negative impacts. This research is a Scopus-based bibliometric analysis to examine trends in the relationship between ChatGPT and education. The articles analysed were sourced from the Scopus database totalling 403 from the end of 2023 to the beginning of 2024. After managing the database from Scopus, this study classified and visualized it using VOSviewer software. The research results are classified based on VOSviewer output starting from the network, overlay, density visualization, and specific topics such as “education”, and “higher education”. The research results describe 54 keyword items in 11 clusters. The most popular keywords include “academic integrity”, “machine learning”, “plagiarism”, and “ethics”. The most popular keywords include “academic integrity”, “machine learning”, “plagiarism”, “justice”, and “ethics”. This review provides an appropriate reference point for further research on “ChatGPT and Education”.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Arie Rakhmat Riyadi AU - Tatang Syaripudin AU - Kurniasih AU - Ani Hendriani AU - Cucun Sutinah AU - Muhammad Aceng Sirojudin PY - 2024 DA - 2024/02/02 TI - ChatGPT and Education: A Scopus Bibliometric Analysis BT - Proceedings of the International Conference on Teaching, Learning and Technology (ICTLT 2023) PB - Atlantis Press SP - 264 EP - 272 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-206-4_30 DO - 10.2991/978-2-38476-206-4_30 ID - Riyadi2024 ER -