Education and Training for Future Engineering Teachers in the Age of Artificial Intelligence: A Bibliometric Analysis

• Published in: 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
• Main Author: Chu R.; Lim S.C.J.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2023
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186094020&doi=10.1109%2fIEEM58616.2023.10406630&partnerID=40&md5=c5d37baa04be0a384af77f6613ecb40a

Engineering teachers play an important role in engineering education to develop the next generation of engineering human resources. In this sense, the education and training of engineering teachers are important. The recent development of artificial intelligence (AI), especially generative AI, has impacted many industries, including education. Thus, this paper aimed to explore existing research focuses and trends in the field of education and training of future engineering teachers in the age of artificial intelligence (AI). Based on scholarly publications obtained between the years 2018 and 2023, a bibliometric analysis has been performed, which includes analysis such as keyword co-occurrence analysis and thematic-based content analysis. The analysis in this paper is performed using bibliometric software named VOSViewer. The results from the analysis have identified five research hotspots in this field based on keyword clustering, with each hotspot discussed. Finally, this paper concludes with some elaborations on limitations and future work. © 2023 IEEE.