Probabilistic-Input, Noisy Conjunctive Models for Cognitive Diagnosis

Probabilistic-Input, Noisy Conjunctive Models for Cognitive Diagnosis

Existing cognitive diagnosis models conceptualize attribute mastery status discretely as either mastery or non-mastery. This study proposes a different conceptualization of attribute mastery as a probabilistic concept, i.e., the probability of mastering a specific attribute for a person, and develop...

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Bibliographic Details
Main Authors: Peida Zhan, Wen-Chung Wang, Hong Jiao, Yufang Bian
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-06-01
Series:Frontiers in Psychology
Subjects:
cognitive diagnosis
probabilistic logic
PINC model
DINA model
higher-order model
cognitive diagnosis models
Online Access:https://www.frontiersin.org/article/10.3389/fpsyg.2018.00997/full

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