节点文献

基于混合智能的学习状态实时采集与动态分析方法

Learning Status Real-time Collection and Dynamic Analysis Method Based on Hybrid Intelligence

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 张可佳田枫王博孙菲刘涛

【Author】 ZHANG Ke-jia;TIAN Feng;WANG Bo;SUN Fei;LIU Tao;School of Computer & Information Technology, Northeast Petroleum University;School of Software and Microelectronics, Peking University;School of Economics and Management, Northeast Petroleum University;

【机构】 东北石油大学计算机与信息技术学院北京大学软件与微电子学院东北石油大学经济管理学院

【摘要】 实时采集并分析课堂学习状态,有助于教师及时掌握课堂动态、提升教学效果,但现有的方法存在实时性较弱、准确率不高等问题。对此,文章提出了一种包含学习状态判定标准、学习状态识别方法和课堂表现实时评价方法的学习状态实时采集与动态分析(Learning Status Real-time Collection and Dynamic Analysis,LRD)方法。文章首先阐释了LRD方法的工作原理,之后研发了课堂学习状态实时采集与动态分析系统,最后通过此系统的性能实验和有效性实验,验证了LRD方法具有实践可行性和有效性。文章提出的LRD方法能够实时、准确地识别和分析学生的学习状态,提高教师掌握学生课堂表现的水平,为智慧教育的发展提供了一种新的研究思路和技术储备。

【Abstract】 Real-time collection and analysis of classroom learning status can help teachers grasp classroom dynamics in time and improve teaching effect, but the existing methods have problems of weak real-time and low accuracy. In this regard, the paper proposed a learning status real-time collection and dynamic analysis(LRD) method containing the criterion of learning status, the recognition method of learning status and the real-time evaluation method of classroom performance. Firstly, this paper explained the working principle of the LRD method. Secondly, a classroom learning status real-time collection and dynamic analysis system was developed. Finally, by the property and effectiveness experiments of this system, the practical feasibility and effectiveness of the LRD method were validated. The LRD method proposed in this paper can identify and analyze students’ learning status in real time and accurately, improve the level of teachers to grasp the students’ classroom performance, and provide a new research idea and technical reserve for the development of wisdom education.

【基金】 国家社会科学基金青年课题“数字赋能传统能源产业低碳转型的机理解析、效率测度与路径探索研究”(项目编号:22BTJ046);黑龙江省省属本科高校基本科研业务费项目“领域软件工程与石油大数据团队”(项目编号:2022TSTD-03)的阶段性研究成果;教育部产学合作协同育人项目“基于东软云的智能系统”(项目编号:220602108273624)资助
  • 【文献出处】 现代教育技术 ,Modern Educational Technology , 编辑部邮箱 ,2023年07期
  • 【分类号】G434
  • 【下载频次】153
节点文献中: 

本文链接的文献网络图示:

本文的引文网络