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Conference papers

Imperfect answers in multiple choice questionnaires

Abstract : Multiple choice questions (MCQs) are the most common and computably tractable ways of assessing the knowledge of a student, but they restrain the students to express a precise answer that doesn't really represent what they know, leaving no room for ambiguities or doubts. We propose Ev-MCQs (Evidential MCQs), an application of belief function theory for the management of the uncertainty and imprecision of MCQ answers. Intelligent Tutoring Systems (ITS) and e-Learning applications could exploit the richness of the information gathered through the acquisition of imperfect answers through Ev-MCQs in order to obtain a richer student model, closer to the real state of the student, considering their degree of knowledge acquisition and misconception.
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Contributor : Maria Rifqi Connect in order to contact the contributor
Submitted on : Tuesday, October 7, 2014 - 5:36:36 PM
Last modification on : Thursday, July 14, 2022 - 4:01:39 AM

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Javier Diaz, Maria Rifqi, Bernadette Bouchon-Meunier, Sandra Jhean-Larose, Guy Denhière. Imperfect answers in multiple choice questionnaires. EC-TEL 2008 - 3rd European Conference on Technology Enhanced Learning, Sep 2008, Maastricht, Netherlands. pp.144-154, ⟨10.1007/978-3-540-87605-2_17⟩. ⟨hal-01072218⟩



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