Research Article
Research on Artificial Intelligence Classroom Teaching Intelligence Evaluation System (CSMS) in school classroom teaching quality management
@INPROCEEDINGS{10.4108/eai.13-10-2023.2341301, author={Zhaohui Zhang}, title={Research on Artificial Intelligence Classroom Teaching Intelligence Evaluation System (CSMS) in school classroom teaching quality management}, proceedings={Proceedings of the 3rd International Conference on New Media Development and Modernized Education, NMDME 2023, October 13--15, 2023, Xi’an, China}, publisher={EAI}, proceedings_a={NMDME}, year={2024}, month={1}, keywords={classroom teaching intelligence evaluation system;teaching quality management;9 scoring areas}, doi={10.4108/eai.13-10-2023.2341301} }- Zhaohui Zhang
Year: 2024
Research on Artificial Intelligence Classroom Teaching Intelligence Evaluation System (CSMS) in school classroom teaching quality management
NMDME
EAI
DOI: 10.4108/eai.13-10-2023.2341301
Abstract
In order to effectively grasp the quality of classroom teaching, improve teachers' professional quality and ability, and help teachers' professional growth, the collaborative application of classroom teaching wisdom evaluation system (CSMS) and learning generation knowledge and action theory can promote classroom transformation. Taking Banxi Primary School in Guangdong Province as an example, this paper aims to introduce how to use the structure-based multi-model combined classroom teaching evaluation system (CSMS). 33 teacher samples participated in big data analysis, distributed in 4 disciplines, and 50 classroom recordings, to diagnose the overall situation of regional and school classroom teaching quality. In order to improve the pertinence of regional and school teacher team management and construction, to help school teachers achieve better professional development.