Design and implementation of AI-driven adaptive learning platform

This paper focuses on the development and implementation of an adaptive learning system based on artificial intelligence, studying how to implement real-time data analysis to gain insight into learners' behaviors and data content, timely adjust learning resources and learning path implementation planning, and implement a learning guidance system tailored to students' personalized needs. With the help of demand mining, system architecture, learning user model shaping and personalized recommendation technology, the system can provide personalized learning plans based on students' knowledge mastery, interest preferences and learning progress. The test results show that the platform significantly improves students' academic performance and learning efficiency, especially in the discussion between mathematics and English subjects. The students' academic performance increased by 12.3 points and 10.5 points respectively, and the performance improvement was obvious. The adaptive learning platform using artificial intelligence technology has shown great application value in personalized teaching and instant feedback.