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Communication dans un congrès

A Heuristic Method for Large-Scale Cognitive-Diagnostic Computerized Adaptive Testing

Abstract : In formative assessments, one wants to provide a useful feedback to the examinee at the end of the test. In order to reduce the number of questions asked in an assessment, adaptive testing models have been developed for cognitive diagnosis, such as the ones encountered in knowledge space theory. However, when the number of skills assessed is very huge, such methods cannot scale. In this paper, we present a new method to provide adaptive tests and useful feedback to the examinee, even with large databases of skills. It will be used in Pix, a platform for certification of digital competencies for every French citizen.
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https://hal.univ-grenoble-alpes.fr/hal-01493787
Contributeur : Nathalie Denos <>
Soumis le : mercredi 22 mars 2017 - 09:45:18
Dernière modification le : jeudi 8 juillet 2021 - 03:50:07
Archivage à long terme le : : vendredi 23 juin 2017 - 12:23:46

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lsw177-vieA.pdf
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Jill-Jênn Vie, Fabrice Popineau, Françoise Tort, Benjamin Marteau, Nathalie Denos. A Heuristic Method for Large-Scale Cognitive-Diagnostic Computerized Adaptive Testing. Learning @ scale (L@S'17), Apr 2017, Cambridge, MA, United States. ⟨10.1145/3051457.3054015⟩. ⟨hal-01493787⟩

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