Cited by 43Intelligent Tutoring Systems and Adaptive LearningUsability and User Interface DesignLearning Styles and Cognitive Differences

Design and Usability Evaluation of Adaptive e-learning Systems Based on Learner Knowledge and Learning Style

Open access
Alshammari, Mohammad, Anane, Rachid, Hendley, Robert J.·2015·Lecture Notes in Computer Science

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Crossref · 10.1007/978-3-319-22668-2_45

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4 of 4 references verified0 citation errors · 0 not checkable

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  • Adaptive e-learning focused on learner experience and learning style has a higher degree of perceived usability than a non-adaptive e-learning system.

    “Adaptive e-learning focused on learner experience and learning style has a higher degree of perceived usability than a non-adaptive e-learning system, according to Alshammari et al. (2015).”

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Authors
Alshammari, M., Anane, R., & Hendley, R. J.
Affiliations
  • University of Birmingham (GB)
  • Coventry University (GB)
Corresponding author
Alshammari, Mohammad
Venue
Lecture Notes in Computer Science
Published
2015
Volume
LNCS-9297
Issue
Part II
Pages
584-591
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W1788795499
Cited by
43
References
4
Citations by year
2026: 1 · 2025: 3 · 2024: 4 · 2023: 7 · 2022: 3 · 2021: 5 · 2020: 4 · 2019: 3 · 2018: 4 · 2017: 5 · 2016: 3 · 2015: 1
FWCI
2.40
Type
conference paper
Language
en
Open access
Locations
  • Lecture notes in computer science (publishedVersion)
  • HAL (submittedVersion, cc-by)
  • Coventry University Open Collections (Coventry university) (submittedVersion)
  • University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
  • Pure (Coventry University) (submittedVersion)
  • The Open Collections (Coventry University) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
  • Social Sciences › Psychology › Developmental and Educational Psychology › Learning Styles and Cognitive Differences
Keywords
adaptive e-learning systems, usability evaluation, student knowledge, learning styles, student satisfaction, student engagement, student motivation

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