Frontiers in Educational Research, 2023, 6(30); doi: 10.25236/FER.2023.063004.
Li Xiaomeng
Chongqing Depu Foreign Language School, Chongqing, China
The safety of K-12 schools has always been a paramount concern. As society progresses and technology advances, the utilization of big data intelligence to innovate campus safety management has emerged as a significant area of research. This study identifies four prevalent issues in the current safety management practices of K-12 schools: a deficiency in safety education and awareness, limited capabilities for risk prediction and early warning, lagging emergency response systems, and ineffective inter-departmental communication. By applying big data intelligence, this paper proposes the development of four novel platforms for enhancing safety management in K-12 schools: a Machine Learning-based Safety Education Platform, a Big Data-based Risk Prediction and Warning Platform, an AI-based Monitoring and Response Platform and an IoT-based Safety Information Sharing Platform. These platforms aim to provide comprehensive safety management solutions encompassing real-time monitoring, early warning, incident response, in-event control, and post-incident traceability. The proposed multi-faceted approach promises to foster the improvement in K-12 schools campus safety management, thereby ensuring a safer and more comfortable learning environment.
Big Data Intelligence, K-12 schools, Campus Safety, Management Innovation
Li Xiaomeng. Integrating Big Data Intelligence into K-12 Schools Campus Safety Management. Frontiers in Educational Research (2023) Vol. 6, Issue 30: 25-30. https://doi.org/10.25236/FER.2023.063004.
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