Analysis of Elements in the Evaluation Model of AI Teaching Competency for University Teachers
Journal: Region - Educational Research and Reviews DOI: 10.32629/rerr.v7i8.4468
Abstract
This work aims to construct an evaluation model for the AI teaching competency of university teachers and analyse its core elements and their interrelationships. Through literature review and the Delphi method, four dimensions of evaluation elements were identified: technical ability, teaching ability, ethical awareness, and continuous learning. The research found that these elements are interconnected and mutually reinforcing, collectively forming the evaluation framework for AI teaching competency among university teachers. The results provide theoretical foundations and practical guidance for enhancing and assessing the AI teaching capabilities of university teachers.
Keywords
AI teaching, Competency evaluation, Model construction, Element analysis
Funding
This work is supported by the 2025 Education Science Research Project of Liaoning Private Education Association: Research on the Evaluation of General Education in Private Universities in the Context of Digitalisation (No. LMJX2025217).
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[6] Hu Xiaoyong, Tu Guoguo, Xie Yaqi. Research on Continuous Assessment of Teachers' Teaching Competency Supported by Large Models [J]. China Educational Technology, 2025, 31(03): 31-40.
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