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Building an adaptive E-learning system
Christos Chrysoulas
, M Fasli
School of Computer Science and Digital Technologies
Research output
:
Contribution to conference
›
Paper
›
peer-review
9
Citations (Scopus)
Overview
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Keyphrases
Adaptive E-learning Systems
100%
Learning Styles
100%
Adaptive Learning
100%
Learning Achievement
66%
Personalization
66%
Learning Behavior
66%
Learning Approaches
33%
Innovative Approach
33%
Learning Results
33%
Behavior Learning
33%
Advanced Machine Learning Techniques
33%
Personal Learning
33%
Cognitive Learning
33%
Cognitive Style
33%
Computer Science
Learning Style
100%
Adaptive Learning
100%
Learning System
100%
Electronic Learning
100%
Learning Result
33%
Machine Learning Technique
33%
Learning Approach
33%
Cognitive Style
33%
Social Sciences
Electronic Learning
100%
Learning Style
100%
Student Achievement
66%
Technology
33%
Learning Method
33%
Psychology
Learning Style
100%
Cognitive Style
33%
Chemical Engineering
Learning System
100%