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

Ibtissam Azzi; Loubna Laaouina; Adil Jeghal; Abdelhay Radouane; Ali Yahyaouy; Hamid Tairi

doi:10.1007/978-3-031-02447-4_37

ScienceGate Book Chapters

BOOK-CHAPTER

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

Ibtissam Azzi Loubna Laaouina Adil Jeghal Abdelhay Radouane Ali Yahyaouy Hamid Tairi

Year: 2022 Lecture notes in networks and systems Pages: 351-360 Publisher: Springer International Publishing

DOI: 10.1007/978-3-031-02447-4_37

Get Full-Text PDF Get Analytical Report

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

Cited By

0.98

FWCI (Field Weighted Citation Impact)

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

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

Metrics

Citation History

Topics

Related Documents

Discovering Learner Styles in Adaptive e-Learning Hypermedia Systems

Discovering Learner Styles in Adaptive e-Learning Hypermedia Systems

An Approach for Detecting Learning Styles in Learning Management Systems

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

Machine Learning Based Learner Modeling for Adaptive Web-Based Learning