Abstract
This paper presents an initial evaluation of different forms of
adaptation based on learning style and knowledge level, which were implemented
in an adaptive e-learning system. An experiment conducted in a learning
context with 174 participants produced significant results in terms of learning
gain. They indicate that adaptation based on both learning style and knowledge
level yields significantly better learning gain than adaptation based on learning
style only, and better than adaptation based on knowledge level only.
Original language | English |
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Title of host publication | Lecture Notes in Computer Science: Intelligent Tutoring Systems |
Editors | Alessandro Micarelli, John Stamper, Kitty Panourgia |
Place of Publication | Switzerland |
Publisher | Springer Verlag |
Pages | 498-499 |
Volume | 9684 |
ISBN (Print) | 978-3-319-39583-8, 978-3-319-39582-1 |
DOIs | |
Publication status | Published - 2016 |
Event | Intelligent Tutoring Systems International Conference - Zagreb, Croatia Duration: 7 Jun 2016 → 10 Jun 2016 |
Conference
Conference | Intelligent Tutoring Systems International Conference |
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Country/Territory | Croatia |
City | Zagreb |
Period | 7/06/16 → 10/06/16 |
Bibliographical note
The full text is not available on the repository.Keywords
- Adaptivity
- Learning style
- Learner knowledge
- Evaluation