Prise de risque et QCMs : conséquences sur la validité des méthodes de notation

Abstract : This paper combines empirical (student sample) and computational (Monte Carlo simulations) studies to estimate the impact of inter-individual differences on QCM completion (understanding of probabilities and marking schemes, risk-taking when choosing random responses) on the measure of knowledge in exams (here in statistics). Solutions are proposed to reduce the associated biases.
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Submitted on : Saturday, December 29, 2018 - 5:30:31 PM
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2017 - CFIES - Quinton, Molto,...
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Jean-Charles Quinton, Lisa Molto, Alan Chauvin. Prise de risque et QCMs : conséquences sur la validité des méthodes de notation. 5ème Colloque Francophone International sur l’Enseignement de la Statistique, Sep 2017, Grenoble, France. ⟨hal-01966792⟩

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