面向智慧课堂的数据挖掘与学习分析框架及应用

The System Framework of Data Mining and Learning Analysis for Smart Class

国内外对教育大数据的研究正从概念、理念层面走向建模分析与应用层面,而应用层面的研究也从教育质量监测统计、教育决策等宏观层面向学校教学、学生学习等微观层面深入发展。该文在教育数据挖掘与学习分析内涵讨论的基础上,结合智慧教学实际提出了智慧课堂的数据模型和体系架构,阐述了"四建模三分析"的教育大数据研究方法论,构建了智慧课堂数据挖掘分析的"整体棋盘"及13个具体研究问题,并提出了智慧课堂数据挖掘分析的四类应用模式,最后基于真实数据探讨了学生主观行为对成绩的影响分析应用案例。

Researchers on educational data at home and abroad are moving from the concept, principle level to moaenng anatysis and application level. The researches in application level are moving from statistics of education quality monitoring, education policy and other macro-level applications to the further development of school teaching, student learning and other micro applications. On the basis of discussion of data mining and analysis of the connotation of education, this paper puts forward data ＇model and system architecture combined with the wisdom teaching practice, elaborates ＂Four modeling and three analysis＂ methodology of study of education data, constructs ＂The whole chessboard＂ of intelligent data mining analysis of smart class and 15 specific research questions, and puts forward four kinds of application modes of intelligent data mining analysis of smart class. Finally, based on the real data, the influence of students＇ subjective behavior on achievement is discussed.