Research Article
Promoting Class Safety Benchmarking Evaluation Based on Pearson Correlation Analysis
@INPROCEEDINGS{10.4108/eai.6-1-2023.2330353, author={Xiuhua Li and Lei Fu and Chao Zhang and Shangmin Li and Yao Zhang and Jianing Si}, title={Promoting Class Safety Benchmarking Evaluation Based on Pearson Correlation Analysis}, proceedings={Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China}, publisher={EAI}, proceedings_a={BDEDM}, year={2023}, month={6}, keywords={class safety benchmarking evaluation correlation analysis unsafe student behavior}, doi={10.4108/eai.6-1-2023.2330353} }- Xiuhua Li
Lei Fu
Chao Zhang
Shangmin Li
Yao Zhang
Jianing Si
Year: 2023
Promoting Class Safety Benchmarking Evaluation Based on Pearson Correlation Analysis
BDEDM
EAI
DOI: 10.4108/eai.6-1-2023.2330353
Abstract
With the proliferation of information technology, big data analysis has found wide applications in today's safety management. Based on a Pearson correlation analysis between the incidence of unsafe student behavior and the coverage of unsafe student behavior by class safety benchmarking evaluation, this study focuses on how to reduce the incidence of unsafe student behaviors by promoting class safety benchmarking evaluation. The results show that promoting class safety benchmarking evaluation improves the rate of supervision on unsafe student behaviors and significantly reduces the incidence of unsafe student behaviors.
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