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 language | English |
|---|---|
| Pages (from-to) | 392-397 |
| Number of pages | 6 |
| Journal | Advances in Soft Computing |
| Volume | 43 |
| DOIs | |
| Publication status | Published - 2007 |
Fingerprint
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 journal › Article
}
TY - JOUR
T1 - Measurement centred evaluation in adaptive web-based learning systems based on CBR approach
AU - Zouari Ounaies, Houda
AU - Jamoussi, Yassine
AU - Ghezala, Henda Ben
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=58149215538&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=58149215538&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-72575-6_63
DO - 10.1007/978-3-540-72575-6_63
M3 - Article
AN - SCOPUS:58149215538
VL - 43
SP - 392
EP - 397
JO - Advances in Intelligent Systems and Computing
JF - Advances in Intelligent Systems and Computing
SN - 2194-5357
ER -