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Developing a multilevel framework for AI integration in technical and engineering higher education: insights from bibliometric analysis and ethnographic research
The study proposes a multilevel framework for integrating artificial intelligence into technical and engineering higher education. Combining bibliometric analysis with ethnographic research, the authors identify key trends, challenges, and pedagogical needs related to AI adoption. The findings highlight gaps between technological advancements and current educational practices, emphasizing the importance of institutional strategy, curriculum redesign, and faculty readiness.