The application of data mining technology in the college English network self-learning monitoring system

At first the author lists some research findings concerning learners´ self-efficacy both at home and abroad. Then the college English learning efficacy questionnaire is designed by combining the on-line learning behavior with self-efficacy scales put forward by some linguistics. In order to analyze learners´ online learning statically, the author suggests that the network learning behavior acquisition module should be embedded in the network learning system to analyze factors affecting students´ network self-learning, furthermore, to provide the scientific materials for the college English teaching reform. At last with the data mining technology being the data analysis method, it explores the relationship among students´ self-efficacy, network learning behavior and academic scores in the overall college English network self-learning process involving listening, speaking, reading and writing.