【作 者】：
刘清堂，张思，范桂林，王洋，吴林静
【关 键 词 】：
教育大数据；内容语义分析；分析模型 应用研究
【栏 目】：
网络教育
【中文摘要】：
教育大数据为分析学习行为与过程、提升学习绩效、科学规划与决策提供了巨大可能。当面临社会化学习中大容量、增殖速度快、具有一定情境特征的海量教育数据时，传统的分析方法遇到了瓶颈。如何建立可靠的学习分析模型，对教育数据进行科学合理的分析和解释，成为当下研究的热点和难点。本文首先介绍了内容语义分析的概念、一般过程和分析方法，在此基础上提出了数字化课堂内容语义分析方法，以及社会化学习中的内容语义分析模型和应用框架，探讨了内容语义分析模型在数字化课堂教学、教育技术学领域本体库构建、网络研修社区教师反思水平分析中的应用，以期为探索教育大数据环境下的教育研究途径和方法提供借鉴。
【英文摘要】：
Owing to big data in education, it is possible to analyze learners' learning behaviors and process, improve students' learning performances and make scientific planning and decision making.However, when it comes to the mass education data with large capacity, fast proliferation and contextual characteristics in social learning, the traditional analysis method encountered difficulties. How to establisha reliable model of learning analytics to analyze and explain the education data scientifically andreasonably becomes a heated research issue. In this paper, after the introduction of the concept, general process and analysis method of content semantic analysis, a semantic content analysis method in digitalclassroom, a semantic content analysis model and application framework of social learning are proposed.Then the application of that model in digital classroom teaching, construction of the ontology library ineducational technology and the analysis of teachers' reflection in network research community are discussed in order to study educational research approaches and methods under the environment of big data.
【下 载】：
教育大数据视角下的内容语义分析模型及应用研究