BOOK-CHAPTER

A Modeling Learner Approach for Detecting Learning Styles in Adaptive E Learning Systems

Ibtissam AzziLoubna LaaouinaAdil JeghalAbdelhay RadouaneAli YahyaouyHamid Tairi

Year: 2022 Lecture notes in networks and systems Pages: 351-360   Publisher: Springer International Publishing
Keywords:
Computer science Personalization Field (mathematics) Dimension (graph theory) Artificial intelligence XML Reuse Machine learning Learning styles Style (visual arts) Adaptive learning Human–computer interaction Engineering Mathematics education World Wide Web Mathematics

Metrics

1
Cited By
0.98
FWCI (Field Weighted Citation Impact)
10
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Learning Styles and Cognitive Differences
Social Sciences →  Psychology →  Developmental and Educational Psychology
Online Learning and Analytics
Physical Sciences →  Computer Science →  Computer Science Applications
Educational Technology and Assessment
Physical Sciences →  Computer Science →  Information Systems

Related Documents

JOURNAL ARTICLE

Discovering Learner Styles in Adaptive e-Learning Hypermedia Systems

Mahnane LamiaLaskri Mohamed Tayeb

Journal:   TUGraz OPEN Library (Graz University of Technology) Year: 2020
JOURNAL ARTICLE

Discovering Learner Styles in Adaptive e-Learning Hypermedia Systems

Mahnane LamiaLaskri Mohamed Tayeb

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2013 Vol: 19 Pages: 1522-1542
JOURNAL ARTICLE

Reinforcement Learning Approach for Adaptive E-learning Systems using Learning Styles

Balasubramanian VelusamyS. Margret AnouneiaGeorge Abraham

Journal:   Information Technology Journal Year: 2013 Vol: 12 (12)Pages: 2306-2314
BOOK-CHAPTER

Machine Learning Based Learner Modeling for Adaptive Web-Based Learning

Burak Galip AslanMustafa Murat İnceoğlu

Lecture notes in computer science Year: 2007 Pages: 1133-1145
© 2026 ScienceGate Book Chapters — All rights reserved.