Trends and Challenges of Educational Application of Generative Artificial Intelligence

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.