Impact of Generative Artificial Intelligence on Teaching Paradigm Shifts in Colleges and Universities, and the Countermeasures
Abstract
colleges and universities. This paper analyzes the specific impact of generative artificial intelligence on teaching paradigm shifts in colleges
and universities from three dimensions: restructuring teaching factors, reforming teaching models, and upgrading assessment systems, points
out the challenges currently faced by colleges and universities, such as inadequate technology adaptation, ill-defined of teacher roles, and
academic integrity risk, and proposes some countermeasures, including promoting "technology-teacher-student" tripartite synergy, developing
adaptive assessment systems, and perfecting the academic integrity guarantee mechanism, aiming to provide reference for colleges and universities to enhance their teaching quality with the help of generative artificial intelligence.
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DOI: http://dx.doi.org/10.70711/neet.v3i11.8099
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