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Challenges and Future Directions of Big Data and Artificial Intelligence in Education
Hui Luan
, Peter Geczy
, Hollis Lai
, Janice Gobert
,
Stephen J.H. Yang
, Hiroaki Ogata
, Jacky Baltes
, Rodrigo Guerra
, Ping Li
, Chin Chung Tsai
學習科技研究中心
資訊工程學系
研究成果
:
雜誌貢獻
›
回顧評介論文
›
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546
引文 斯高帕斯(Scopus)
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Keyphrases
Artificial Intelligence in Education (AIEd)
100%
Big Data Intelligence
100%
Artificial Intelligence
50%
Computational Techniques
25%
Big Data Analysis
25%
Big Data
25%
Research Policy
25%
Education Research
25%
Data Analytics
25%
Personal Data
25%
Educational Technology
25%
Academia-industry Collaboration
25%
Lifelong Learning
25%
Big Data Applications
25%
Education Policy
25%
Policy Making
25%
Precision Education
25%
Education Learning
25%
Teacher Education Programs
25%
Cold Technologies
25%
Pedagogical Practices
25%
Education Industry
25%
Individualized Learning
25%
Proof-of-concept Demonstration
25%
Pedagogical Learning
25%
Mutually Beneficial Relationships
25%
Educational Research
25%
Educational Analytics
25%
Data Explosion
25%
Concept Application
25%
Computer Science
Big Data
100%
Future Direction
100%
Artificial Intelligence
100%
Personal Data
20%
Theoretical Framework
20%
Educational Technology
20%
Lifelong Learning
20%
Data Analytics
20%
Analytic Approach
20%
Policy Making
20%
Teacher Education Program
20%
Application of Big Data
20%
Educational Research
20%
Social Sciences
Big Data
100%
Artificial Intelligence
100%
Education Research
16%
Research Trends
16%
Educational Technology
16%
Education Program
16%
Educational Policy
16%
Lifelong Education
16%
Data Analytics
16%
Policy Making
16%
Pedagogical Practice
16%
Science Policy
16%
Personal Data
16%
Embeddedness
16%
Educational Research
16%
Psychology
Artificial Intelligence
100%
Big Data
100%
Education Research
33%
Education Program
16%
Economics, Econometrics and Finance
Industry
100%
Research Policy
33%
Educational Policy
33%
Data Analytics
33%
Embeddedness
33%