Design of a Knowledge Graph-based Interactive English Teaching Platform for College Students

Abstract

Abstract In this paper, we first studied the construction technology of knowledge graphs, used the BERT model for named entity recognition, extracted the Relationship between different entities through semantic analysis, and stored the database based on table structure and graph structure. Then, the knowledge graph technology is utilized to construct the English interactive teaching platform, and modules such as online classroom, operation and maintenance management, and database are designed to clarify the process of English interactive teaching. Finally, a comparative analysis was conducted to study the effects of English interactive teaching on students’ performance, teaching satisfaction, and classroom behavior. The results show that chi-squared=18.276, df=3, p-value=0.000656, p<0.001, the difference in students’ achievement after using interactive teaching is obvious. The mean value of classroom silence behavior is distributed below 20%, which indicates that interactive teaching is effective. This study has important reference significance for the design and development of interactive teaching platforms in colleges and universities.