CEFContemporary Education Frontiers3029-18793029-1860WHIOCE PUBLISHING PTE. LTD.10.18063/CEF.v3i6.709ArticleAnalysis and Research on Students' Classroom Behavior Data Based on Object Detectionhttps://artdesignp.com/journal/CEF/3/6/10.18063/CEF.v3i6.709ChenBaiyu,BianDeng,TangMingwei,ZhaoMingfeng2025362025-07-26Analyzing and studying students' classroom behavior is crucial for enhancing both students' abilities and teachers' instructional methods. This topic has been a significant focus within the educational community. Recently, machine vision and object detection technologies have been extensively applied across various domains, yielding notable outcomes. Consequently, this paper introduces a method for modeling and analyzing classroom behavior data using an object detection neural network. Experimental results indicate that this approach can effectively facilitate the development of students' abilities and the improvement of teaching practices.Component,Object Detection,Students' classroom behavior,Deep learning model

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