Proposing a novel approach for classification and sequencing of Learning Objects in E-learning systems based on learning style
Author:
Affiliation:
1. Department of Computer Applications, Thiagarajar College of Engineering, Madurai, Tamilnadu, India
2. Department of Computer Science and Engineering, Thiagarajar College of Engineering, Madurai, Tamilnadu, India
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
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5. Learning Objects Types Dependability on Styles of Learning. In ISBN978-1-61804-021-3;Bontchev;Proc of 8th WSEAS International Conference on ENGINEERING EDUCATION (EDUCATION’11),2011
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