Research on the Knowledge Graph-driven Human-Machine Collaborative "Dual-Teacher Classroom" Teaching Model

Abstract

The development of artificial intelligence technology has laid a solid foundation for the transformation of teaching methods and has also promoted the development of human-machine collaborative education. This paper, based on the existing human-machine collaborative "dual-teacher classroom" teaching model, introduces the use of knowledge graphs from the field of computer science and researches their application in the human-machine collaborative "dual-teacher classroom". The paper discusses the relationship between knowledge graphs and artificial intelligence education robots, presents the application of knowledge graphs in the human-machine collaborative "dual-teacher classroom" for different roles at different stages of education, and extracts a knowledge graph-driven human-machine collaborative teaching interaction model. Furthermore, based on the SAMR model, a knowledge graph-driven human-machine collaborative "dual-teacher classroom" teaching model is constructed, and several application scenarios of knowledge graphs in the human-machine collaborative "dual-teacher classroom" are described. AI education robots equipped with knowledge graphs can effectively improve teaching effectiveness, provide better personalized learning support, and help students develop comprehensively.