Construction of a Personalized Web-Based Autonomous Learning System Using Artificial Intelligence

With the continuous development of information science and technology and the innovation of education concept, personalised learning has become a research hotspot. The traditional education method is too rigid, can't be personalised for different students ‘learning characteristics, and can’t meet students' individual needs, while the development of artificial intelligence technology can solve this problem very well. Personalized network independent learning system based on artificial intelligence can provide personalized learning services for different learners ‘learning abilities, interests, behaviours, performance levels, etc., to meet students’ individual learning needs and improve students' learning efficiency and learning performance. In this study, an efficient personalised learning system is constructed using artificial intelligence technology, which uses natural language processing methods, machine learning technology, big data analysis and other means to provide personalised learning for students, improve students' motivation to learn, and optimise students' learning experience through intelligent recommendation algorithms as well as sentiment analysis technology, while guaranteeing the security and privacy of the data. Through the experiments of the experimental group and the control group, the results show that the system improves the learning effect of students significantly, and the learning efficiency of students is not only greatly improved, but also the positive and active learning, which can promote the improvement of educational equity and teaching quality.