Survey on Intelligent Analysis Techniques for Classroom Teacher-Student Interaction Research

With the popularization and continuous development of education informatization,a huge amount of classroom data such as video,image,voice,text are recorded.How to effectively analyze these multimodal data and mine the classroom teacher-student interaction information can not only help teachers find the problems in teaching and adjust the teaching content in time to improve the quality of teaching,moreover,it is an important link to implement the concept of “human-centered” education and promote modern education towards intelligence,personalization and digitalization.The paper firstly discusses the traditional ana-lysis methods of teacher-student interaction behaviors at home and abroad.Then,it classifies and analyzes the current research status of intelligent analysis techniques for classroom teacher-student interaction from different perspectives,such as video,image,voice,text and multimodal.Next,a technical process for classroom teacher-student interaction intelligent analysis is proposed,including core elements,data forms,key technologies,results presentation and application scenarios.Finally,the advantages and disadvantages of the current multimodal intelligent analysis technology for classroom teacher-student interaction are summarized,as well as the challenges and future directions.