教育信息化迈入2.0时代，教育从“用经验说话”到“用数据驱动决策、管理与创新”。针对课堂教学存在的针对性不强、效率较低等问题，研究拟以信息技术手段实现精准教学的基本途径，设计“一条主线（大数据支持下的精准教学）、两个核心（教学行为数据自动采集、教学行为数据挖掘与分析）、三大目标（拓展课堂教学行为分析方法与技术、促进教师专业能力发展及提升课堂教学质量）”，系统研究大数据支持下的课堂教学行为分析问题：①建立教学行为编码系统、分析模型和分析方法；②研究基于多模态的课堂教学行为数据智能采集方法；③探寻基于教学行为大数据的精准教学策略及有效应用模式，开展利用教学行为分析有效促进教师专业能力发展及提升课堂教学质量的实证研究。本研究将拓展数字化课堂环境下的教学行为分析理论，对探索课堂教学行为分析领域大数据技术的具体应用模式、建立精准教学的新路径、构建教师专业发展新模式等，具有重要的研究意义和应用价值。

Education informationization has entered the era of 2.0, which means that education has changed from "speaking with experience" to "using data to drive decision-making, management and innovation". To solve the problems of poor pertinence and low efficiency in classroom teaching, this project researches the basic approaches of using information technology to achieve precision teaching, designing one main line (precise teaching supported by big data), two cores (automatic acquisition of teaching behavior data, data mining and analysis of teaching and learning behaviors), and three objectives (expanding the methods and techniques of classroom teaching behavior analysis, promoting the development of teachers' professional ability and improving the quality of classroom teaching. Moreover, the study includes three main parts to systematically solve the analysis problems of teaching and learning behaviors supported by big data：firstly, establishing the coding system, analysis model and analysis methods for teaching and learning behaviors; secondly, studying the big data intelligent acquisition methods of teaching and learning behaviors based on multimodal features; thirdly, exploring the path and effective application mode of precision teaching strategies, then to carry out an empirical study that is useful for teaching and learning behaviors analysis, and effective for the development of teachers' professional ability as well as the quality of classroom teaching. This research will expand the theory of teaching and learning behavior analysis in the digital classroom environment. It has fruitful research significance and application value for exploring the specific application mode of big data technology in the field of classroom teaching behavior analysis, establishing a new path of precise teaching, and constructing a new model of teachers' professional development.