A Review of Intelligent Application of Educational Knowledge Graph from the Perspective of Artificial Intelligence

计算机科学 知识图 图形 人工智能 语义网络 语义网 知识管理 数据科学 理论计算机科学
作者
Linjing Wu,Fengjiao Tu,Qingtang Liu,Xinqian Ma,Xiangcheng Jia,Yu Gao
标识
DOI:10.1109/iset55194.2022.00049
摘要

Recently, knowledge graph technology has developed rapidly. It is based on the idea of a semantic network, which realizes the formal description of things and their relationships. With the development of knowledge graph technology, new ideas have been brought to solve knowledge search reasoning, educational resource organization and adaptive learning. After three years of rapid development, there are many intelligent applications in academic knowledge graph. These applications can be divided into six categories. They are answering robots, big data analysis and educational decision-making, semantic of educational resources, digital textbooks, complex problem solving and adaptive learning system. Finally, the existing problems in the application of educational knowledge graph are analyzed. It is hoped to provide ideas and enlightenment for further solving the problems in education and teaching.
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