Research Article
Research on Classroom Teaching Evaluation Model Based on Big Data
@INPROCEEDINGS{10.4108/eai.2-12-2022.2327920, author={Xiao Chen and Yuncheng Li}, title={Research on Classroom Teaching Evaluation Model Based on Big Data}, proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China}, publisher={EAI}, proceedings_a={ICICA}, year={2023}, month={3}, keywords={data processing; fuzzy comprehensive evaluation; matlab; evaluating indicator}, doi={10.4108/eai.2-12-2022.2327920} }- Xiao Chen
Yuncheng Li
Year: 2023
Research on Classroom Teaching Evaluation Model Based on Big Data
ICICA
EAI
DOI: 10.4108/eai.2-12-2022.2327920
Abstract
In the digital society, education is faced with the problem of big data processing and application. The premise of using the comprehensive evaluation model to evaluate classroom teaching is how to deal with the huge original evaluation data. This paper uses the data cleaning technology of big data to preprocess the original evaluation data, so that the data is more standardized and effective, and important data can be extracted for calculation. Then the multi-level fuzzy comprehensive evaluation model is used to calculate the processed data, and the first level fuzzy comprehensive evaluation and the second level fuzzy comprehensive evaluation data are obtained. According to the maximum membership principle, the classroom evaluation results are obtained.
