A Framework of AI-based Intelligent Adaptive Tutoring System

In this paper, a framework of AI-based intelligent adaptive tutoring system is proposed in order to wrestle with the issues that the adaptive learning system lacks the efficient algorithm designed for personalization recommendation and learning path, as well as the ability of detecting the true learning status of students. The framework is put forward by discussing the necessity and feasibility upon the combination of AI and education which is based on the model of student-centeredness. The knowledge graph and deep neural networks are applied into the learning-resource recommendation module, and the behavior detection module is based on deep learning technology which contributes to the multidimensional and comprehensive judgements of students. The results of the experiment and investigation show that the intelligent adaptive tutoring system has a certain ability to analyze students’ weaknesses. Additionally, the behavior detection module can effectively analyze the status of students and put forward cautions.