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A Markov-based recommendation model for exploring the transfer of learning on the Web
Yueh Min Huang, Tien Chi Huang, Kun Te Wang,
Wu Yuin Hwang
網路學習科技研究所
研究成果
:
雜誌貢獻
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期刊論文
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同行評審
50
引文 斯高帕斯（Scopus）
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Keyphrases
Markov
100%
Transfer Learning
100%
Recommendation Model
100%
Learning Path
75%
Web-based Learning
75%
Group Learning
50%
Learning Environment
25%
Knowledge Integration
25%
Recommendation System
25%
Existing Knowledge
25%
Transition Probability
25%
Learning Objects
25%
Learning Sequence
25%
Knowledge Acquisition
25%
Markov Chain Model
25%
Traditional Learning
25%
Online Courses
25%
Guidance System
25%
Ability to Apply
25%
Non-sequential
25%
Course Materials
25%
High Achievement
25%
Online Learners
25%
Student Needs
25%
Developing World
25%
Achievement Levels
25%
Entropy-based Approach
25%
Cross-subject
25%
Sequence Recommendation
25%
Transition Model
25%
Probability Transition
25%
Social Sciences
Electronic Learning
100%
Learning Transfer
66%
Educational Environment
33%
Recommendation System
33%
Sequence Learning
33%
Markov Chain
33%
Developing World
33%
Computer Science
Electronic Learning
100%
Learning Group
66%
Learning Objects
33%
Knowledge Acquisition
33%
Transition Model
33%
markov chain model
33%
Mathematics
Transfer Learning
100%
Transition Probability
100%
Markov Chain
50%