The Construction of English Teaching Resource Base in Colleges and Universities Based on Knowledge Graphs

Abstract

Abstract Establishing a teaching resource base for English in higher vocational education is one of the effective informatization reform measures. In this paper, the basic framework of English teaching resource base based on a knowledge graph is firstly designed to semantically describe and organize the existing teaching resource organization structure and storage method in the form of a graph based on text semantic coding. Using entity linking technology and knowledge point automated association method, the entity vocabulary in the text is identified and linked to the corresponding entities in the knowledge base to realize the association between teaching resources and knowledge points. Then, the cosine similarity between historical learning resources and teaching resources in terms of semantic features is calculated, and resource recommendation is carried out based on the knowledge connectivity between user interests and resources. The evaluation of the teaching resource library’s performance and its effect on students’ English learning and teachers’ teaching ability is concluded. The results show that users’ evaluations of the indicators of the teaching resource library are concentrated between (3.9-4.4), the p-values of the dimensions of students’ English knowledge in the two cases of yes/no use of the resource library are 0.010, 0.047, 0.038, 0.035, 0.018, and 0.026, and there is a significant variability of the teacher’s teaching ability at the level of 5 percent. This study offers guidance on how to promote the reform of English curriculum construction, optimize teaching resources, and enhance teachers’ overall teaching ability.