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ODALA, An Ontological Model for an Automated Evaluation of the Learner’s State of Knowledge: Application to a Web-Based Algorithmic Teaching

International Journal of Business and Information

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Title ODALA, An Ontological Model for an Automated Evaluation of the Learner’s State of Knowledge: Application to a Web-Based Algorithmic Teaching
 
Creator Bouarab-Dahmani, Farida
Si-Mohammed, Malik
Comparot, Catherine
Charrel, Pierre-Jean
 
Description This paper presents an approach for the automated evaluation of the learner’s state of knowledge in an intelligent tutoring system, based on a granular and ontological model of the teaching domain. This approach, called ODALA(Ontology-Driven Auto-Evaluation for Learning Approach), is now beingimplemented in different self-learning settings, particularly those concerned with algorithmic teaching. ODALA represents the teaching domain as a domain ontology, which not only allows the evaluation to be propagated in each of the domain’s components, but also facilitates error classification and detection. The evaluation process includes an error diagnosis module, a marking process, and an update of the learner model, all of which produce a well-calculated knowledge of the state of learners at different abstraction levels. This paper also presents results of the development and experimentation of our algorithmic self-learning system.
 
Publisher International Business Academics Consortium
 
Date 2015-11-13
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://ijbi.org/ijbi/article/view/35
 
Source International Journal of Business and Information; Vol 4 No 1 (2009)
2520-0151
1728-8673
 
Language eng
 
Relation https://ijbi.org/ijbi/article/view/35/39
 
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