Research Status, Hotspots, and Evolutionary Trends of Intelligent Education from the Perspective of Knowledge Graph

Intelligent education research has become a research hotspot in recent years. The Citespace software that operates a graph visualization function was used to clarify the current situation, hot spots, and evolutionary trends of intelligent education research development; the authors, institutions, an...

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Bibliographic Details
Published inSustainability Vol. 14; no. 17; p. 10934
Main Authors Shi, Dingpu, Zhou, Jincheng, Wang, Dan, Wu, Xiaopeng
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2022
Subjects
Artificial intelligence
Bibliometrics
Big Data
Clustering
Data analysis
Education
Education reform
Educational research
Educational technology
Forecasts and trends
Information society
Information technology
Interactive learning
Postindustrial societies
Research facilities
Research institutions
Research methodology
Students
Sustainability
Teaching methods
Technology
Trends
China
United Kingdom > UK
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Summary:Intelligent education research has become a research hotspot in recent years. The Citespace software that operates a graph visualization function was used to clarify the current situation, hot spots, and evolutionary trends of intelligent education research development; the authors, institutions, and countries engaged in intelligent education research, as well as the basic knowledge structure, main keywords, citation clustering, dual-map overlay of journals and citation emergence of intelligent education research. The results show that the annual number of publications in the field has shown an upward trend since 2010, with strong communication among research institutions and countries, but weak communication among researchers. Among them, the United States is the center of the global collaborative network of intelligent education research. The basic knowledge structure of intelligence education research is mainly composed of Classroom Management, Evaluation Index, 5G Network, and Big Data Analytics. The dual-map overlay analysis of journals shows that the core areas of intelligence education are increasing, and the analysis of keywords and cited literature shows that Intelligence Tutoring System, AI system, Students and Education, Model, and System are high-frequency words with high-intensity burstness. In addition, research on intelligent education is characterized by multi-country, multi-field, and multi-disciplinary integration, and the adoption of Big Data, Distance Education Technology and Artificial Intelligence Technology to provide scientific support for teaching and learning will become the key research content in this field in the future.
ISSN:2071-1050
2071-1050
DOI:10.3390/su141710934