Research on the Knowledge Graph Construction for Flipped Classroom

Knowledge graph is a storage form that uses graph models to store entities and the relationships between entities and entities. We have built a knowledge graph for flipped classrooms to assist teaching work. In the process of constructing the knowledge graph and using the knowledge graph for recommendation, we designed a paragraph recommendation algorithm that comprehensive considering the student performance, content of course and user evaluation, which is used for personalized recommendation after the user enters the text. This algorithm sorts paragraphs based on the values of the Recopara. The user feedback mechanism in the algorithm can make the recommended paragraphs content better and better. Compared with the recommendation algorithm based on text content, the recommendation algorithm based on Recopara can better adapt to the needs of flipped classroom teaching and have been praised by the users.