{"title":"A Review of Intelligent Application of Educational Knowledge Graph from the Perspective of Artificial Intelligence","authors":"Linjing Wu, Fengjiao Tu, Qingtang Liu, Xinqian Ma, Xiangchen Jia, Yu Gao","doi":"10.1109/ISET55194.2022.00049","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":365516,"journal":{"name":"2022 International Symposium on Educational Technology (ISET)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Symposium on Educational Technology (ISET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISET55194.2022.00049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.