Construction of Higher Vocational English Autonomous Learning Information System Based on Data Mining

With the continuous in-depth development of school digitization, informatization and smart campus construction, the application of campus information system has been integrated into all aspects of students’ learning and life. There are a large number of student behavior data in each information system. Analyzing and studying these behavior data is the focus of current research. The data warehouse technology is used to integrate the student behavior data existing in various information systems into the data warehouse, and establish the behavior analysis model of higher vocational students through data mining analysis, which can provide help and suggestions for students to modify learning methods, teachers to adjust teaching methods, and management departments to accurately manage students. This paper studies the adaptive learning system of Higher Vocational Colleges Based on big data analysis, puts forward the semantic association model of students’ behavior, studies the learning recommendation algorithm based on data mining, and finally constructs the architecture of adaptive learning system. The research can effectively guide and intervene higher vocational students’ English learning.