Hotspots and trends in interdisciplinary research in artificial intelligence educatio—based on bibliometric analysis

Artificial Intelligence has triggered a new research boom, and Artificial Intelligence education and interdisciplinary integration have become new trends in educational development. To identify the current research status and development status of Artificial Intelligence education in interdisciplinary fields, 760 journal articles published from 2017 to 2024 from the WoS Core Collection were selected as research objects, and knowledge mining and analysis were conducted to explore the current research status and content evolution of this field through visual analysis. Using bibliometrics, the software Cooc14.9 and VOSviewer were used to map the relevant knowledge on the number of publications, research institutions, authors, interdisciplinary research, and keywords in this field, and to analyse its research hotspots and development trends. The results show that research in the field of interdisciplinary integration of Artificial Intelligence education is currently in a stage of rapid development, but cooperation between research fields is relatively weak and interdisciplinary research is insufficient. Research hotspots mainly focus on Artificial Intelligence, Machine Learning, Interdisciplinary, and Deep Learning. Research frontiers mainly focus on Embedded Ethics, Large Language Models, ChatGPT, and Generative Artificial Intelligence. Based on the above analysis of the results, the article proposes a future outlook of the field from three aspects to understand the latest research trends and future development directions.