基于人工智能的课堂分析架构:一种智能的课堂教学研究

Classroom Analysis Framework Based on Artificial Intelligence:An Intelligent Classroom Teaching Research

没有智能技术的深度运用,大规模的课堂分析难以真正实现,课堂教学仍然是一个"黑箱"。传统的课堂分析存在规模化困难、标准化不足、专业性缺失等问题,而片面地运用技术手段展开课堂分析,又容易陷入指标单一化和标签化的风险。本研究构建了基于课堂多模态数据的人工智能课堂分析架构,提出了高品质课堂智能分析标准(CEED)。该标准包含课堂效率、课堂公平、课堂民主三个维度。该分析架构使得课堂作为数字化智能支持系统,为教师、学校、教育研究者提供全员化、全程化、全面化的专业反馈,促进教师教学反思,创新人机融合的常态化教研与教学研究新方式。

Without the in-depth application of intelligent technology,large-scale classroom analysis is difficult to achieve,and classroom teaching is still a"black box".Traditional classroom analysis has problems such as difficulty in scale,insufficient standardization,and lack of professionalism,and the one-sided use of technical means to carry out classroom analysis is easy to fall into the risk of simplification and labelling of indicators.This study constructs an artificial intelligence classroom analysis framework based on the multi-modal data of classroom,and proposes high-quality classroom intelligence analysis standards(CEED).The standards includ three dimensions:class efficiency,class equity,and class democracy.The analysis framework makes the classroom as a digital intelligent support system to provide teachers,schools,and education researchers with full-featured,full-process,and comprehensive professional feedback.This will promote teachers’reflection on teaching and innovate the normalized research and teaching of human-computer integration.