【作 者】：
黄荣怀， 高博俊， 王欢欢， 徐晶晶， 杜 静
【关 键 词 】：
教学行为； 教学行为计算； 智能教育； 教学过程
【栏 目】：
理论探讨
【中文摘要】：
从教与学的行为数据中洞察教与学的行为规律，打破现有的以经验为主、人工分析课堂教学行为，转为以大数据为支撑的智能化教学行为计算，已成为智能时代教学行为分析的重要趋势。研究从教与学行为的视角切入，梳理传统课堂教学行为分析到广义学习行为分析的历程，结合行为计算，提出教学行为可计算的概念，构建教学行为计算的通用框架，并梳理学习者与参与者、学习者与环境、参与者与学习成就、学习环境与学习成就四个研究方向。大规模教学行为数据的获取、表征、挖掘和呈现，将为实践教学提供指导，助力智能时代新型教学模式和教学过程的构建。
【英文摘要】：
It has become an important trend to analyze teaching behaviors in the intelligent age to discover the behavioral laws of teaching and learning from the behavioral data of teaching and learning, break the existing experience-based, manual analysis of classroom teaching behavior, and turn to intelligent teaching behavior computing supported by big data. From the perspective of teaching and learning behavior, combined with behavior computing, this study combs the history form the traditional classroom teaching behavior analysis to broad learning behavior analysis, proposes the concept of computable teaching behavior and constructs a general framework of teaching behavior computing. Then, this study recommends four research directions of learners and participants, learners and environments, participants and learning achievement, and learning environments and learning achievement. The acquisition, characterization, mining and presentation of large-scale teaching behavior data will provide guidance for practical teaching and help construct new teaching models and teaching processes in the intelligent era.