Research on Personalized Learning Path Recommendation System for Higher Education Based on Deep Learning

Abstract

The traditional higher education teaching model often adopts a standardized teaching form of “one size fits all”, which is difficult to adapt to the knowledge base, learning ability, interest preferences, and learning pace of different students, resulting in significant differences in learning efficiency and difficulty in implementing personalized teaching. With the deep development of smart education and artificial intelligence technology, deep learning provides a new technological path for building personalized learning services in higher education scenarios with its powerful feature extraction, sequence modeling, and user behavior mining capabilities.