Formative evaluation of the learners' know-how using classification algorithms : application to th digital electronics
Identifieur interne : 000858 ( France/Analysis ); précédent : 000857; suivant : 000859Formative evaluation of the learners' know-how using classification algorithms : application to th digital electronics
Auteurs : Mariam Tanana [France]Source :
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Abstract
When a teacher wants to evaluate the know-how of the learners using a software, he often uses Intelligent Tutorial Systems (ITS). However, those systems are difficult to develop and intended for a very targeted educational domain. For several years, the used of supervised classification algorithms was proposed to estimate the learners' knowledge. From this fact, we assume that the same kinf of algorithms can help to adress the learners' know-how evaluation. Our application field being digital system design, we propose a similarity measure between digital circuits and instances issued from an automatically generated database. This database consists of electronic circuits pedagogically labelled "good" or "bad" with information concerning the simplification degrees or made mistakes. Finally, the use of a simple classification algorithm (namely k-nearest neighbours classifier) allowed us to achieve a circuit's evaluation in most cases.
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Hal:tel-00442930Le document en format XML
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