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Reuse of e-learning personalization components
Open accessAbstract
Personalized learning systems use several components in order to create courses adapted to the learners’characteristics. Current emphasis on the reduction of costs of development of new resources has motivated the reuse of the e-learning personalization components in the creation of new components. Several systems have been proposed in the literature. Each system implements a specific approach and includes a set of software components. However, many of these components are not easily reusable. This paper proposes an architecture, which aims to improve the representation of learning components in a reusable and interoperable way. As a result, these components could be integrated easily for the creation of personalized learning courses. This architecture consists of five main packages: learner model, adaptation model, reuse facilities, learner interface and pedagogical knowledge. An experiment is conducted to validate the proposed architecture. The obtained results illustrate the optimal composition of e-learning personalization components through an example.
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Metadata
- Authors
- Ghallabi, S., Essalmi, F., Jemni, M., & Kinshuk
- Affiliations
- Tunis University (TN)
- University of Jeddah (SA)
- Corresponding author
- Ghallabi, Sameh
- Venue
- Smart Learning Environments
- Published
- 2022-11-24
- Volume
- 9
- Issue
- 1
- ISSN
- 2196-7091 (ISSN-L)
- OpenAlex
- W4309941226
- Cited by
- 8
- References
- 22
- Citations by year
- 2025: 4 · 2024: 2 · 2023: 2
- FWCI
- 0.54
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Smart Learning Environments (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Greater South Information System
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Education › Open Education and E-Learning
- Physical Sciences › Computer Science › Software › Advanced Software Engineering Methodologies
- Keywords
- personalized e-learning, software component reuse, personalized learning systems, software architecture, interoperability, student model, adaptation model, pedagogical knowledge, course adaptation
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