Research on the application of ChatGPT in education—visual analysis based on CiteSpace
Keywords:
educationAbstract
The impact of generative artificial intelligence (generative AI) technology, exemplified by ChatGPT, on education is substantial. CiteSpace visualization software is used in this study to analyze Chinese and English core journal literature on ChatGPT in education from 2013 to 2023. The comparison is grounded in factors such as the volume of publications, distribution across disciplines, core authors and institutions, research hotspots, and trends in research. The literature was retrieved from the databases of the China National Knowledge Infrastructure and Web of Science. The analysis unveils a limited number of studies yet indicates an overall increasing trend. Collaboration between core authors and institutions should be strengthened. Research hotspots, areas, and trends differ in the Chinese and English literature. In the future, researchers should concentrate on innovating research
methods, diversifying research perspectives and fields, developing specialized models, and improving relevant laws and guidelines.
Cite as: An, Z., Ma, J. (2024). Research on theapplication of ChatGPT ineducation—visual analysis basedon CiteSpace. Education and LifelongDevelopment Research, 1(1), 41-50. https://doi.org/10.46690/elder.2024.01.06
References:
Chen, Y. (2023). Beyond ChatGPT: Opportunities, risks, and challenges from generative AI. Journal of Shandong University (Philosophy and Social Sciences Edition), 3, 127-143.
Chen, Y., Chen, C., Liu, Z., Hu, Z., & Wang, X. (2015). The methodology function of CiteSpace mapping knowledge domains. Studies in Science of Science, 33(2), 242-253.
Choi, E. P. H., Lee, J. J., Ho, M. H., Kwok, J. Y. Y., & Lok, 1. Y. W. (2023). Chatting or cheating? The impacts of ChatGPT and other artificial intelligence language models on nurse education. Nurse Education Today, 125(8), 105796.
Cooper, G. (2023). Examining science education in ChatGPT: An exploratory study of generative artificial intelligence. Journal of Science Education and Technology, 32(3), 444-452.
Dai, L., Zhao, X., & Zhu, Z. (2023). A new inquiry learning: Conversational learning with ChatGPT. Open Education Research, 29(6), 42-51+111.
Gupta, R., Park, J. B., Herzog, I., Yosufi, N., Mangan, A., Firouzbakht, P. K., & Mailey, B. A. (2023). Applying GPT-4 to the plastic surgery inservice training examination. Journal of Plastic, Reconstructive & Aesthetic Surgery, 87, 78-82.
Jiang, C. (2001). Price and scientometrics. Science of Science and Management of S&T, 22 (9), 20-22.
Kooli, C. (2023). Chatbots in education and research: A critical examination of ethical implications and solutions. Sustainability, 15(7), 5614.
Lim, B., Seth, I., Kah, S., Sofiadellis, F., Ross, R. J., Rozen, 1. M., & Cuomo, R. (2023). Using generative artificial intelligence tools in cosmetic surgery: A study on rhinoplasty, facelifts, and blepharoplasty procedures. Journal of Clinical Medicine, 12(20), 6524.
Lu, Y., Yu, J., Chen, P., & Li, Mu. (2023). Educational application and prospect of generative artificial intelligence: Taking ChatGPT system as an example. Chinese Distance Education, 43(4), 24-31+51.
Okaiyeto, S.A., Bai, J.W., Xiao, H. W. (2023). Generative AI in education: To embrace it or not? International Journal of Agricultural and Biological Engineering, 16(3), 285-286.
Pataranutaporn, P., Danry, V., Leong, J., Punpongsanon, P., Novy, D., Maes, P., & Sra, M. (2021). AI-generated characters for supporting personalized learning and well-being. Nature Machine Intelligence, 3(12), 1013-1022.
Rao, G. (2023a). “ChatGPT is coming: New opportunities and challenges for international Chinese education” (Part A). Language Teaching and Research, 3, 1-14.
Rao, G. (2023b). Transformations and challenges triggered by ChatGPT-like AI in multiple fields. Journal of Tianjin Normal University (Social Science Edition), 3, 49-63.
Sallam, M. (2023). ChatGPT utility in healthcare education, research, and practice: Systematic review on the promising perspectives and valid concerns. Healthcare, 11(6), 887.
Shen, S., & Zhu, Z. (2023). ChatGPT-like products: Internal mechanism and its impact on learning evaluation. Chinese Distance Education, 43(4), 8-15.
Wang, H. (2023a). A philosophical review of ChatGPT in higher education. Chongqing Research on Higher Education, 11(4), 3-13.
Wang, H. (2023b). Challenges and opportunities of ChatGPT for education (Forum). Journal of Soochow University (Educational Science Edition), 11(2), 11-24.
Wang, W., & Lu, C. (2020). Visualization analysis of big data research based on Citespace. Soft Computing, 24(11), 8173-8186.
Xie, Y., Seth, I., Hunter-Smith, D. J., Rozen, W. M., & Seifman, M. A. (2024). Investigating the impact of innovative AI chatbot on post-pandemic medical education and clinical assistance: a comprehensive analysis. ANZ Journal of Surgery, 94(1-2), 68-77.
Yang, Z., Wang, J., Wu, D., & Chen, X. (2023). Exploring the impact of ChatGPT/AIGC on education and strategies for response. Journal of East China Normal University (Education Science Edition), 41(7), 26-35.
Zhao, X., Zhu, Z., & Shen, S. (2023). Educational prompt engineering: Constructing a new epistemological discourse in the era of digital intelligence. Chinese Distance Education, 43(11), 22-31.
Zhong, B. (2023). The challenges of ChatGPT to education. Chongqing Research on Higher Education, 11(3), 3-25.
Zhu, Z., Dai, L., & Hu, J. (2023). Higher consciousness generative learning: Innovation of learning paradigm enabled by AIGC technology. E-Education Research, 44(6), 5-14.