Monitoring indicators of the flipped classroom learning process based on data mining - taking the course of "virtual reality technology" as an example

Abstract

In recent years, due to the superiority of its teaching effect, the flipped classroom has attracted more and more attention from colleges and universities. In the information age, MOOC and micro-lectures have gradually entered the college classroom and become new ways of learning and teaching. Considering the further requirement on the quality of teaching, it is not enough to monitor merely the learning results. Instead, the curriculum reform requires more attention to the learning process. Data mining was combined with MOOC and micro-lectures in this study for the case study of the course of "Virtual Reality Technology". Academic performance, learning input and learning behavior were selected as the indicators to monitor the process of learning "Virtual Reality Technology'. Relevant data were collected and analyzed. The analysis results were used as the basis to provide ideas and approaches for the implementation of reliable and effective teaching intervention methods in the process of teaching "Virtual Reality Technology", so as improve the quality of teaching and provide reference for other related courses.