Analysis of undergraduate network learning based on K-means clustering and decision tree

This study is based on the network teaching platform of colleges and universities. We use advanced big data analysis technology to conduct a comprehensive and objective evaluation of teachers and their teaching quality. We deeply mine all kinds of data of online learning, including course information, students' learning trajectory, subject scores, etc. elaborate what methods you used. Based on the analysis, we reveal the internal correlation of learning effectiveness, identify the characteristic differences of student groups, and predict learning results. Based on these analyses, we are committed to building an online education model that suits China's national conditions in order to improve the quality and effect of education and teaching.