International Journal of Computational Intelligence Systems

Volume 3, Issue 3, September 2010, Pages 357 - 369

Automated Evaluation of Learners with ODALA: Application to Relational Databases E-learning

Authors
Farida Bouarab-Dahmani, Malik Si-Mohammed, Catherine Comparot, Pierre-Jean Charrel
Corresponding Author
Farida Bouarab-Dahmani
Available Online 1 September 2010.
DOI
https://doi.org/10.2991/ijcis.2010.3.3.11How to use a DOI?
Keywords
Self-learning, Error diagnosis, Learner's evaluation, Learner's marking, Learner's model, E-learning.
Abstract
This paper deals with an approach for an automated evaluation of the learners' state of knowledge when learning by doing. This approach is called ODALA for "Ontology-Driven Auto-evaluation for e-Learning Approach". It takes place in the context of Computer Based Human Learning Environment (CBHLE) in a self-learning by doing mode. ODALA is based on the teaching domain ontology and on errors classification and detection. The evaluation process is composed of four stages: (1) form analysis of learner's solutions, (2) semantic analysis, (3) marking, and (4) updating of the learner's model. We bring the approach into play in the context of relational databases teaching: we present the results of the relational databases self-learning system (RDB-E-LEARN) development, where the main stages of our evaluation approach are implemented.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
3 - 3
Pages
357 - 369
Publication Date
2010/09
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2010.3.3.11How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Farida Bouarab-Dahmani
AU  - Malik Si-Mohammed
AU  - Catherine Comparot
AU  - Pierre-Jean Charrel
PY  - 2010
DA  - 2010/09
TI  - Automated Evaluation of Learners with ODALA: Application to Relational Databases E-learning
JO  - International Journal of Computational Intelligence Systems
SP  - 357
EP  - 369
VL  - 3
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2010.3.3.11
DO  - https://doi.org/10.2991/ijcis.2010.3.3.11
ID  - Bouarab-Dahmani2010
ER  -