Abstract
This study aims to explore the role of the MATE Multi-Assessment Teaching Evaluation System in empowering teachers' blended teaching abilities through AI. By analyzing questionnaire data from 20 teachers participating in the MATE teaching ability experiment using SPSS, the study evaluated the performance of the MATE system in teaching effectiveness, student engagement, and teacher improvement. The results showed that the MATE system positively impacted teachers' teaching abilities and students' learning experiences across multiple dimensions. This research provides data support for further optimization of the MATE system and empirical evidence for the application of AI technology in education.
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