As a powerful technology driving force, artificial intelligence has promoted the innovation, reform and upgrade of classroom teaching. Carrying out classroom teaching evaluation supported by artificial intelligence technology can assist to carry out intelligent evaluation efficiently, probe the dynamic change of emotional information, carry out accurate collection of real class, and restore the track of teacher and student growth. Firstly, this paper combs the current classroom teaching evaluation methods and their limitations, and points out that the characteristics of real time and multi-scene evaluation should be considered in the evaluation. By summarizing previous studies, this paper points out the advantages of artificial intelligence technology enabling classroom teaching evaluation, analyzes the classroom teaching tasks and teaching performance of teachers and students in three classroom links before, during and after class in a general scenario, and extracts the data types presented under the corresponding teaching links. Moreover, it designs and summarizes the dimensions of classroom teaching evaluation with AI technology, which point to classroom language analysis, classroom behavior analysis and classroom emotion analysis. On this basis, it constructs the evaluation framework of classroom teaching with AI technology empowerment, and puts forward four suggestions for future development. This study provides a reference for carrying out intelligent and comprehensive teaching evaluation. However, in the future, the in-depth development and wide application of classroom teaching evaluation under artificial intelligence still need to explore more professional, personalized and developmental evaluation methods.

Li Yunlu. Research on the Framework of Classroom Teaching Evaluation Enabled by Artificial Intelligence Technology. Frontiers in Educational Research(2025), Vol. 8, Issue 4: 15-22. https://doi.org/10.25236/FER.2025.080403.

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