基于人工智能的课堂教学分析研究与实践

Research and Practice of Classroom Teaching Analysis Based on Artificial Intelligence

传统课堂教学分析多以时间取样的手工或半自动编码为主,存在过度依赖专家、分析效率低、难以规模化等问题。随着人工智能技术的发展和智慧教学环境建设的推进,智能化采集和分析课堂教学过程成为可能。首先在对课堂教学分析应用现状进行总结的基础上,提出以“数据采集与处理”、“课堂教学分析”和“课堂教学改进”为核心的智能化课堂教学分析框架。然后进行高校智能化课堂教学分析系统功能设计,构建基于云—边—端协同的系统技术架构,并阐述系统实际应用情况。该系统能够实现智能化、规模化的课堂教学分析,并为开展基于数据的课堂教学评价与反思提供支持。

Traditional classroom teaching analysis based on manual coding has problems such as excessive dependence on experts,low analysis efficiency,and difficulty in large-scale services.With the construction of smart teaching environment and the development of artificial intelligence technology,making the collection and analysis of classroom teaching process possible.Based on the summary of the current situation of classroom teaching analysis,this paper firstly put forward an intelligent classroom teaching analysis framework with three functional modules of“data collection and processing”,“classroom teaching analysis”and“classroom teaching improvement”.Then,designed the function of intelligent classroom teaching analysis system,and constructed the system technical architecture based on cloud edge end collaboration.Finally,the paper described the practical application of the system.The system can realize the intelligent and large-scale classroom teaching analysis,and provide support for classroom teaching evaluation and reflection based on data.