Interactive Learning Behavior Analysis of Wisdom Classroom based on Big Data

Abstract

At present, although the research on learning behavior has made some progress, it is still in infancy. There are still many practical problems need to be solved. For example, how to promote effective learning in class. In the context of big data, this paper proposed a framework to collect and process interaction behavior data in wisdom classroom. First step, collecting and processing the interactive learning behavior data in and after class. Second step, analyzing the interactive learning behavior data. Finally, judging the behavior based on the analysis results. A learning model to form a personalized learning library for students is built in this paper, which performs feedback and guidance for learners' learning activities. Using this framework can achieves individualized or adaptive student learning, and realizes the purpose of promoting effective learning.