Measurement centred evaluation in adaptive web-based learning systems based on CBR approach

Houda Zouari Ounaies, Yassine Jamoussi, Henda Ben Ghezala

Research output: Contribution to journalArticle

Abstract

Several Web-based learning systems are currently available. Nevertheless, most existing e-learning platforms lack efficient adaptivity to learner needs. Moreover, adaptive system development is quite costly. Evaluation of these systems and assessment of adaptation components may enable identifying failures and improving them, in one hand, and exchanging successful adaptive components, in the other hand. Adaptive behaviour is strongly determined by functional requirements available to the application domain. In Web-based system, granular functions are increasingly provided by Web services. First, in this paper we focus on measurement criteria related to both adaptive functions and related Web services. Second, Case-Based Reasoning are adopted in order to capitalize evaluation results, learn from past experiences and reuse successful patterns.

Original languageEnglish
Pages (from-to)392-397
Number of pages6
JournalAdvances in Soft Computing
Volume43
DOIs
Publication statusPublished - 2007

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Web services
Learning systems
Case based reasoning
Adaptive systems

ASJC Scopus subject areas

  • Computational Mechanics
  • Computer Science Applications
  • Computer Science (miscellaneous)

Cite this

Measurement centred evaluation in adaptive web-based learning systems based on CBR approach. / Zouari Ounaies, Houda; Jamoussi, Yassine; Ghezala, Henda Ben.

In: Advances in Soft Computing, Vol. 43, 2007, p. 392-397.

Research output: Contribution to journalArticle

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