International Journal of Web Applications Yao Min Shi 16 4 2024 https://doi.org/10.6025/ijwa/2024/16/4/123-133 https://www.dline.info/ijwa/fulltext/v16n4/ijwav16n4_2.pdf This article implements systematic teaching and personalized auxiliary analysis based on the teacher and student modules. The teacher module mainly includes functions such as course management, homework management, exam management, and student management, which can facilitate the systematic teaching of students. The student module mainly includes functions such as course learning, homework submission, exam review, and problem consultation, which can effectively assist students in autonomous learning. At the same time, the system also combines big data and artificial intelligence technology to analyze students’ personalized learning behavior, providing targeted learning suggestions and assistance for each student. The system identifies students’ learning characteristics and problems by analysing data such as their academic performance, learning time, and learning path and provides corresponding solutions.