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Title:
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EVALUATING THE LEARNERS STATE OF KNOWLEDGE WHEN HE/SHE IS LEARNING BY DOING |
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Author(s):
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Farida Bouarab-dahmani , Malik Si-mohammed , Catherine Comparot , Pierre-jean Charrel |
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ISBN:
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978-972-8924-69-0 |
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Editors:
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Kinshuk, Demetrios G Sampson, J. Michael Spector, Pedro Isaías and Dirk Ifenthaler |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Learners evaluation, error diagnosis, learner model, algorithmic teaching, lexico-syntactic analysis, semantic analysis |
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Type:
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Short Paper |
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First Page:
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329 |
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Last Page:
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334 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In this paper, we propose an approach for an automated evaluation of learners in autonomous learning based on the
representation of the teaching domain as an ontology. Thus, we break up the evaluation process into four principal tasks:
lexico-syntactic analysis using a grammar, the semantic analysis that uses the concept of exercises "characteristics", the
learner marking, that is founded on the knowledge items marking (these are the smallest components of the teaching
domain) and the updating of the learners model.
The diagnosis and the marking exposed in this paper are evaluated with an autonomous and distant learning system of an
algorithmic French language. The results of the tests, carried out on the prototype developed for the graduating students,
are satisfactory and very encouraging. |
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