Value and Practical Path of Empowering University Teaching Evaluation Reform with Artificial Intelligence

Abstract

Abstract: In recent years, artificial intelligence technology has been deeply integrated with higher education and teaching, achieving significant results. In the reform of teaching evaluation in universities, artificial intelligence relies on intelligent technology and is driven by data as the core, promoting the development of teaching evaluation towards intelligence, precision, and scientificity, achieving a profound transformation from empirical evaluation to digital evaluation, static evaluation to dynamic evaluation, and summary evaluation to feedback evaluation. The reform of teaching evaluation empowered by artificial intelligence objectively requires educators to be driven by the construction of evaluation indicators and guide intelligent systems to accurately empower teaching evaluation; using a sound feedback mechanism as a channel to enhance the practical utility of evaluation results; taking optimization algorithm design as the driving force, improve the regulatory mechanism of intelligent systems.

Key words: Artificial intelligence, Teaching evaluation, Value connotation, Evaluation indicators, Feedback mechanism, Algorithm design

CLC Number:

G642

WANG Hongyue, SHANG Yingying. Value and Practical Path of Empowering University Teaching Evaluation Reform with Artificial Intelligence[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(1): 122-124.

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