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

The research topics in educational data mining area at home and abroad are transforming from the concept, principle level to modeling analysis and application level, and at the same time transforming from statistical monitoring of educational quality, educational policy and other macro-level applications to the further development of school teaching, student learning and other micro applications. On the conceptual discussion of educational data mining and learning analytics, this paper proposes a data model and a system architecture combined with the teaching practice, elaborates "Four modeling and three analysis" methodology in the study of education data, constructs The "whole chessboard" analysis of data mining in the smart classroom, in which 13 specific research questions are derived. Moreover, it puts forward four kinds of application modes of data mining in the smart classroom and finally explores the application of interaction between teacher and students of smart classroom based on real data.