摘要
随着计算机网络技术的发展以及智能手机等硬件设备的普及,大学生旷课、迟到、早退,精力不集中等课堂问题行为日益严重,现有的课堂行为管理方法效果不佳。针对该问题,本文基于深度学习技术建立了大学生课堂行为分析模型,并构建了大学生课堂行为分析系统,实现课堂考勤和课堂专注度分析两个核心功能,旨在提供一种智能、高效的大学生课堂行为分析与监管方式,为大学生课堂行为研究和管理提供支持。
With the development of computer network technologies and the popularization of hardware devices such as smart phones,college students classroom behaviors such as truancy,lateness,early retirement and lack of concentration are becoming more and more serious,while the existing methods of classroom behavior management are ineffective.To solve this problem,this paper establishes an analysis model of college students classroom behavior based on deep learning technology and constructs an analysis system with two core functions:classroom attendance analysis and classroom focus analysis.This paper provides an intelligent and efficient way to analyze and supervise college students classroom behavior,which also provides support for the research and management of college students classroom behavior.
作者
陈彦钊
朱雪颖
黄瑾
庄涵智
郭春婷
刘家浩
CHEN Yan-zhao;ZHU Xue-ying;HUANG Jin;ZHUANG Han-zhi;GUO Chun-ting;LIU Jia-hao(School of Mechanical and Automotive Engineering,Qilu University of Technology(Shandong Academy of Sciences),Jinan 250353,China)
出处
《齐鲁工业大学学报》
2020年第1期13-18,共6页
Journal of Qilu University of Technology
基金
国家自然科学基金(61772293)
2018国家级大学生创新创业训练项目(201810431038)。
关键词
大学生
课堂行为分析
深度学习
考勤
课堂专注度
college student
classroom behavior analysis
deep learning
attendance
classroom focus
