刘邦奇， 李 鑫
【关 键 词 】：
教育大数据； 智慧课堂； 数据挖掘分析； 应用模式； 实证分析
Based on big data of smart classroom, this article uses educational data mining technology to model, analyze, process and makes integrated design from three aspects including the process of instructional design, learning activities and learning results. Specifically, the modeling and analysis of "1+3 model" based on learner behavior and that of "3+1 model" based on learning content and result are described. Then this paper constructs four application models, namely the impact analysis of learning behavior, the path analysis of learning behavior, the correlation analysis of student behavior and the prediction analysis of academic achievement and makes an empirical analysis on the application of smart classroom data mining based on real data. Finally, take the path analysis of student's behavior as an example, this paper concludes that the common model of behaviors for students with high achievement is to learn micro lessons first and then save it. While for students with lower grades, they would just save the course. That the learning behaviors of students with high achievement happen before they save those micro lessons indicate that they have believed the value of those lessons, which, to a certain extent, explains the reasons for the changes in their academic performance.