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随着人工智能技术的快速发展及课堂教学环境的改变,使课堂教学行为的深度分析成为可能。该文在对人工智能技术的教育应用现状及课堂教学行为分析方法的发展脉络进行梳理的基础上,构建了以"数据采集与存储""行为建模与计算"和"智能服务"三个功能模块为核心的课堂教学行为智能分析模型,并以课堂S-T行为分析为例验证该分析模型的有效性。将实验成果应用于教学实践中,得到了教师们的认可,实验成果能为教师的教学反思、教师的专业发展及教学管理提供支持。根据教师在应用过程中所反馈的意见,还提出了具有针对性的行为识别模型优化策略。研究成果能为基于人工智能技术的课堂教学行为分析研究提供一些借鉴,也能为课堂教学行为的改善、教师的专业发展以及教学质量的提升提供一定的支持。
Abstract：With the rapid development of artificial intelligence technology and the change of classroom teaching environment, making the deep analysis of classroom teaching behavior possible. On the basis of combing the educational application of artificial intelligence technology and the development of classroom teaching behavior analysis method, an intelligent analysis model of classroom teaching behavior based on the three functional modules of "data acquisition and storage", "behavior modeling and calculation" and "intelligent service" is constructed, taking classroom S-T behavior analysis as an example, the validity of the analysis model is verified. The application of experimental results in teaching practice has been recognized by teachers. The experimental results can provide support for teachers' teaching reflection, teachers' professional development and teaching management. According to the feedback of teachers in the application process, the optimization strategy of behavior recognition model with pertinence is also put forward. The research results can provide some references for the analysis and research of classroom teaching behavior based on Intelligent technology, and also provide some support for the improvement of classroom teaching behavior, teachers' professional development and the improvement of teaching quality.
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基本信息:
中图分类号:G434
引用信息:
[1]刘清堂,何皓怡,吴林静,等.基于人工智能的课堂教学行为分析方法及其应用[J].中国电化教育,2019,No.392(09):13-21.
基金信息:
湖北省信息化与基础教育均衡发展协同创新中心项目“数据驱动的课堂教学有效性研究”(项目编号：XT2017008)的阶段性研究成果
2019-09-11
2019-09-11
2019-09-11