Research on College Students’ English Online Autonomous Learning Based on Big Data Analysis

This paper analyzes some problems existing in the process of College Students’ English autonomous learning, and improves the ID3 algorithm in the field of data mining, and applies the traditional ID3 algorithm and the improved ID3 algorithm to the research of College Students’ English autonomous learning respesctively. This paper holds that only when college students have a certain degree of autonomous learning ability, can they effectively carry out Network-based College English learning. The key to improve autonomous learning ability is students’ self-monitoring. Therefore, after improving the theory and awareness of self-learning, College English teachers should actively strengthen students’ self-learning awareness, cultivate students’ self-monitoring ability, help students complete the transformation from other control to self-control, from conscious to automatic, from local to overall, so as to improve their autonomous learning ability and realize the goal of College English online teaching, That is to achieve the best learning effect of students through personalized learning.