Year: 2024
Type: conference-paper
Abstract: The fast-paced development of generative artificial intelligence (GAI) has opened up new possibilities for innovation in education. This research searches the academic literature from the Web of Science (WoS) and China National Knowledge Infrastructure (CNKI) databases, applies keyword clustering and co-word analysis to investigate tendencies and issues of GAI in educational practice. The results point to considerable academic engagement with content, teaching developments, and ethical issues. High-frequency keyword analysis allows the detection of core concepts and emerging topics; Clustering and social network analyses identify the trends in research and the connections between areas of interest.
Authors: Peijie Zhou, Haixia Xu, Yang Tan, Meilan Liu, Xia Zhou, Wenbo Xiong, Jianrong Li
Institutions: Hubei Normal University, Hubei Engineering Institute
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4409965638