Review, computation and application of the Additive Factor Model (AFM)

Par Conseil national de recherches du Canada

Téléchargement	Voir la version finale : Review, computation and application of the Additive Factor Model (AFM) (PDF, 1.3 Mio)
DOI	Trouver le DOI : https://doi.org/10.4224/23002483
Auteur	Rechercher : Durand, Guillaume¹; Rechercher : Goutte, Cyril¹; Rechercher : Belacel, Nabil¹; Rechercher : Bouslimani, Yassine; Rechercher : Léger, Serge¹
Affiliation du nom	Conseil national de recherches du Canada. Technologies numériques
Format	Texte, Rapport technique
Description physique	23 p.
Résumé	Roughly a decade ago appeared the Additive Factor Model (AFM), a cognitive diagnostic model that was subsequently implemented by PSLC-Datashop and successfully used by researchers since then. While powerful, this model is not always simple to apprehend for a novice user. This paper aims at addressing this concern, by sharing our understanding of the model and the way we implemented it while conducting research on Q-matrices evaluation. Situating AFM as a member of the multidimensional Item Response Theory models, this paper provides readers with several considerations regarding the behavior of the model and the meaning of its parameters, as well as details on the technical implementation. Finally a use case is presented showing how the model can be used to monitor, understand and improve learning.
Date de publication	2017-10-20
Maison d’édition	National Research Council of Canada. Digital Technologies
Langue	anglais
Publications évaluées par des pairs	Non
Numéro NPARC	23002483
Exporter la notice	Exporter en format RIS
Signaler une correction	Signaler une correction (s'ouvre dans un nouvel onglet)
Identificateur de l’enregistrement	884836b6-a64f-413a-bd7d-15a8cafc838f
Enregistrement créé	2017-11-16
Enregistrement modifié	2022-06-10

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Date de modification :: 2023-11-30