Research of Intelligent Tutoring System Based on Deep Learning Computer Technology

By analyzing the common problems in the teaching implementation of modern teaching system based on the background of network platform, combining the theory of deep learning theory and personalized learning theory, using artificial intelligence technology, the paper is aimed to design and analyze an intelligent learning guide system. Machine learning and deep reinforcement are made further research during learning and teaching. Its main object model, system structure and operation mechanism as well as the key problems of research are described. Through the experiment and comparation before and after, we find this kind of intelligent learning guide system can effectively solve the drawbacks of network teaching and realize personalized and intelligent teaching. It shows that the system promotes the development in this field and makes a great contribution to enhancing learners’ learning skills and improving the learning quality.