A Summary of the Research Methods of Artificial Intelligence in Teaching

With modern technology developing rapidly, “Artificial Intelligence” becomes a hot word of the times. The integration of the development of information technology and artificial intelligence provides an opportunity for education optimization. This article briefly reviews the application of artificial intelligence in teaching from four aspects: learning environment creation, learning data analysis, learning resource matching, and learning path intervention. Through the creation of learning environment, it can broaden the learning dimension and help students to learn immersive. Through intelligent analysis such as multimodal data mining and affective computing learning analysis, it can identify students’ emotional feedback for a certain content and help teachers adjust teaching content and progress with strong pertinence. Learning resource matching technology helps to match learning resources according to students’ personality characteristics and appearance differences. Teachers can carry out learning path intervention for different students and help students to adjust their learning paths and consolidate knowledge learning. Some future research directions are proposed for some research methods. This will help relevant researchers to grasp the research in this field as a whole and play an important role in promoting the application and development of artificial intelligence in the field of education.