Curriculum Content Construction and Updating for Intelligent Educational Systems Using Knowledge Graphs
Year: 2025
Type: article
Abstract: In an intelligent education system, accurately updating and constructing course content helps to improve the intelligence of the system and the learning efficiency of students, so this paper constructs an intelligent education system using knowledge graph. The system accomplishes ontology construction, extraction, storage and intelligent question and answer of knowledge through knowledge graph technology to realize the integration of course content. The BI-LSTM-CRF model was used for entity naming of the system’s Q&A function, the Q&A was categorized on the basis of feature extraction, and finally the design of the intelligent educational system was carried out. In the two datasets selected in this paper, the knowledge graph-based learning content recommendation model has the highest F1 value of 98.67% and 97.43%, respectively, and the Q&A system designed in this paper got 75.6% correct among the selected 120 Q&As. It shows that the intelligent education system designed in this paper realizes good interaction effect and course content recommendation update effect.
Author: Lina Fan
Institution: Xinxiang Vocational and Technical College
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
Estimated APC paid: $1,500
OpenAlex ID: W4414544917