Summary and Evaluation of the Application of Knowledge Graphs in Education 2007–2020
Since 2007, knowledge graphs, an important research tool, have been applied to education and many other disciplines. This paper firstly overviews the application of knowledge graphs in education and then samples the knowledge graph applications in CSSCI- (Chinese Social Sciences Citation Index-) ind...
Saved in:
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2021/6304109 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832556517625167872 |
---|---|
author | Yanmei Mao |
author_facet | Yanmei Mao |
author_sort | Yanmei Mao |
collection | DOAJ |
description | Since 2007, knowledge graphs, an important research tool, have been applied to education and many other disciplines. This paper firstly overviews the application of knowledge graphs in education and then samples the knowledge graph applications in CSSCI- (Chinese Social Sciences Citation Index-) indexed journals in the past two years. These samples were classified and analyzed in terms of research institute, data source, visualization software, and analysis perspective. Next, the situation of knowledge graph applications in education was summarized and evaluated in detail. Furthermore, the authors discussed and assessed the normalization of knowledge graph applications in education. The results show that in the past 15 years, knowledge graphs have been widely used in education. The academia has reached a consensus on the paradigm of the research tool: examining the hotspots, topics, and trends in the related fields from the angles of keyword cooccurrence network (KCN), time zone map, clustering network, and literature/author cocitation, with the aid of CiteSpace and other visualization software and text analysis. However, there is not yet a thorough understanding of the limitations of the visualization software. The relevant research should be improved in terms of scientific level, normalization level, and quality. |
format | Article |
id | doaj-art-5122d8cfcf1f4507a4feac5ce9fdf66a |
institution | Kabale University |
issn | 1026-0226 1607-887X |
language | English |
publishDate | 2021-01-01 |
publisher | Wiley |
record_format | Article |
series | Discrete Dynamics in Nature and Society |
spelling | doaj-art-5122d8cfcf1f4507a4feac5ce9fdf66a2025-02-03T05:45:11ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2021-01-01202110.1155/2021/63041096304109Summary and Evaluation of the Application of Knowledge Graphs in Education 2007–2020Yanmei Mao0College of Education, Zhejiang University, Hangzhou 310058, ChinaSince 2007, knowledge graphs, an important research tool, have been applied to education and many other disciplines. This paper firstly overviews the application of knowledge graphs in education and then samples the knowledge graph applications in CSSCI- (Chinese Social Sciences Citation Index-) indexed journals in the past two years. These samples were classified and analyzed in terms of research institute, data source, visualization software, and analysis perspective. Next, the situation of knowledge graph applications in education was summarized and evaluated in detail. Furthermore, the authors discussed and assessed the normalization of knowledge graph applications in education. The results show that in the past 15 years, knowledge graphs have been widely used in education. The academia has reached a consensus on the paradigm of the research tool: examining the hotspots, topics, and trends in the related fields from the angles of keyword cooccurrence network (KCN), time zone map, clustering network, and literature/author cocitation, with the aid of CiteSpace and other visualization software and text analysis. However, there is not yet a thorough understanding of the limitations of the visualization software. The relevant research should be improved in terms of scientific level, normalization level, and quality.http://dx.doi.org/10.1155/2021/6304109 |
spellingShingle | Yanmei Mao Summary and Evaluation of the Application of Knowledge Graphs in Education 2007–2020 Discrete Dynamics in Nature and Society |
title | Summary and Evaluation of the Application of Knowledge Graphs in Education 2007–2020 |
title_full | Summary and Evaluation of the Application of Knowledge Graphs in Education 2007–2020 |
title_fullStr | Summary and Evaluation of the Application of Knowledge Graphs in Education 2007–2020 |
title_full_unstemmed | Summary and Evaluation of the Application of Knowledge Graphs in Education 2007–2020 |
title_short | Summary and Evaluation of the Application of Knowledge Graphs in Education 2007–2020 |
title_sort | summary and evaluation of the application of knowledge graphs in education 2007 2020 |
url | http://dx.doi.org/10.1155/2021/6304109 |
work_keys_str_mv | AT yanmeimao summaryandevaluationoftheapplicationofknowledgegraphsineducation20072020 |