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
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Creator |
Bouarab-Dahmani, Farida
Si-Mohammed, Malik Comparot, Catherine Charrel, Pierre-Jean |
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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.
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Publisher |
International Business Academics Consortium
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Date |
2015-11-13
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Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
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Format |
application/pdf
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Identifier |
https://ijbi.org/ijbi/article/view/35
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Source |
International Journal of Business and Information; Vol 4 No 1 (2009)
2520-0151 1728-8673 |
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Language |
eng
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Relation |
https://ijbi.org/ijbi/article/view/35/39
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Rights |
Copyright (c) 2015 International Journal of Business and Information
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