Research Status, Hotspots, and Evolutionary Trends of Intelligent Education from the Perspective of Knowledge Graph
Abstract
:1. Introduction
2. Research Materials and Methods
2.1. Research Data Sources
2.2. Research Methods and Tools
2.3. Data Processing
3. Results and Analysis
3.1. Statistical Analysis of the Volume of Publications
3.2. Research Power Analysis
3.2.1. Author Analysis
3.2.2. Institutional Analysis
3.3. Knowledge Structure Analysis
4. Theoretical Foundations and New Dynamics of Intelligent Education Research
4.1. Analysis of Research Theoretical Foundations
4.1.1. Foundations of Intelligent Education Research
Author | Title | Cited Frequency | Year |
---|---|---|---|
Zhong, RY et al. [58] | Intelligent Manufacturing in the Context of Industry 4.0: A Review | 762 | 2017 |
Siemens, G [56] | Learning Analytics: The Emergence of a Discipline | 334 | 2013 |
Belpaeme, T et al. [61] | Social robots for education: A review | 300 | 2018 |
Abramovich, S et al. [54] | Are badges useful in education?: it depends upon the type of badge and expertise of learner | 177 | 2013 |
Whitehill, J et al. [57] | The Faces of Engagement: Automatic Recognition of Student Engagement from Facial Expressions | 175 | 2014 |
Froyd, JE et al. [59] | Five Major Shifts in 100 Years of Engineering Education | 173 | 2012 |
Ma, WT et al. [47] | Intelligent Tutoring Systems and Learning Outcomes: A Meta-Analysis | 172 | 2014 |
Zhou, J et al. [50] | Toward New-Generation Intelligent Manufacturing | 164 | 2018 |
Pan, YH [60] | Heading toward Artificial Intelligence 2.0 | 131 | 2016 |
Yang, YTC [55] | Building virtual cities, inspiring intelligent citizens: Digital games for developing students’ problem solving and learning motivation | 126 | 2012 |
4.1.2. Themes and Areas of Research on Intelligent Education
4.2. Research Frontiers and Development Trends of Intelligent Education
4.2.1. Frontiers of Intelligent Education Research
4.2.2. New Dynamics of Intelligent Education Research
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Author | Number of Papers | Serial Number |
---|---|---|
CARLOS DELGADO KLOOS | 5 | 1 |
PEDRO J MUNOZMERINO; ZHIQUAN FENG; ADNAN BAKI; SATOSHI KANAZAWA | 4 | 2 |
ANDREW E WALKER; BRIAN R BELLAND | 3 | 3 |
JING ZHANG; NAM JU KIM; NEIL Y YEN; XIN MENG; HAN HE; DAN KONG; JIYUAN ZANG; SHAOFENG WANG; QUN JIN; YUNHE PAN; MITCHELL DANDIGNAC; BOTAO ZENG; BORIS ABERSEK; VALERIE F REYNA | 2 | 4 |
Web of Science Category | Number | Percentage of 1190 |
---|---|---|
Education Educational Research | 264 | 22.185% |
Engineering Electrical Electronic | 181 | 15.210% |
Computer Science Information Systems | 156 | 13.109% |
Computer Science Artificial Intelligence | 148 | 12.437% |
Telecommunications | 121 | 10.168% |
Computer Science Interdisciplinary Applications | 100 | 8.403% |
Engineering Multidisciplinary | 94 | 7.899% |
Education Scientific Disciplines | 84 | 7.059% |
Computer Science Theory Methods | 43 | 3.613% |
Computer Science Software Engineering | 39 | 3.277% |
Cluster lD | Size | Silhouette | Mean (Year) | Terms |
---|---|---|---|---|
0 | 36 | 0.981 | 2017 | artificial intelligence; scientometric view; intelligent tutoring systems research; intelligent personal assistant technology; enhancing problem-solving skill; intelligent online education; intelligent robot; comparative study; artificial intelligence technology |
2 | 25 | 0.985 | 2010 | intelligent tutoring system; learning outcome; academic learning; college student; data mining; adaptive e-learning system; secondary school; science classroom; science education; online functional literacy |
5 | 19 | 0.974 | 2013 | stem education; empirical research; synthesizing result; computer-based scaffolding; bayesian network meta-analysis; procedural training environment; predicting student action; systematic review; adaptive e-learning; health professional |
7 | 17 | 1 | 2017 | machine learning; English distance education; artificial intelligence algorithm; classroom management; intelligent manufacturing; cyber-physical production system; secure manufacturing—a perspective; classroom management; intelligent manufacturing; platform construction |
9 | 13 | 1 | 2009 | intelligent individualized e-learning environment; integration; mathematics classroom; evaluation; evaluation; development; intelligent individualized e-learning environment; intelligent e-learning system; design |
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Shi, D.; Zhou, J.; Wang, D.; Wu, X. Research Status, Hotspots, and Evolutionary Trends of Intelligent Education from the Perspective of Knowledge Graph. Sustainability 2022, 14, 10934. https://doi.org/10.3390/su141710934
Shi D, Zhou J, Wang D, Wu X. Research Status, Hotspots, and Evolutionary Trends of Intelligent Education from the Perspective of Knowledge Graph. Sustainability. 2022; 14(17):10934. https://doi.org/10.3390/su141710934
Chicago/Turabian StyleShi, Dingpu, Jincheng Zhou, Dan Wang, and Xiaopeng Wu. 2022. "Research Status, Hotspots, and Evolutionary Trends of Intelligent Education from the Perspective of Knowledge Graph" Sustainability 14, no. 17: 10934. https://doi.org/10.3390/su141710934