Abstract

E-learning systems represent an interesting alternative to procure students appropriate customized instruction. Among these systems, adaptive educational hypermedia systems offer a personalized learning that is considered as the activation key of learners motivation, allowing them to learn more efficiently. The numerous existing systems generally integrate three models: learner, domain and adaptation. But, how are these models built and what are the challenges for designers and developers? To answer this question, a study of 50 adaptive educational hypermedia systems was conducted, by comparing each of the three models. This paper presents the results of these comparisons and discusses them. Limits are also highlighted and some avenues of solution are proposed. This is the first step of a research work aimed at offering directions for developing new systems that better meet learners' needs.

Keywords:
Adaptive hypermedia Computer science Adaptation (eye) Hypermedia Key (lock) Domain (mathematical analysis) Adaptive system Multimedia Adaptive learning Human–computer interaction World Wide Web Artificial intelligence

Metrics

9
Cited By
0.46
FWCI (Field Weighted Citation Impact)
61
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Intelligent Tutoring Systems and Adaptive Learning
Physical Sciences →  Computer Science →  Artificial Intelligence
Online Learning and Analytics
Physical Sciences →  Computer Science →  Computer Science Applications
Innovative Teaching and Learning Methods
Social Sciences →  Psychology →  Developmental and Educational Psychology

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