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Model-based cognitive diagnosis
User Modelling and User-Adapted Interaction, 1993This paper considers the problem of cognitive diagnosis as an instance of general diagnosis, as studied in artificial intelligence. Cognitive diagnosis is the process of inferring a cognitive state from observations of performance. It is thus a key component of any system which attempts to build a dynamic model of the user of that system.
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A General Mixture Model for Cognitive Diagnosis
Journal of Educational and Behavioral Statistics, 2023Although the generalized deterministic inputs, noisy “and” gate model (G-DINA; de la Torre, 2011) is a general cognitive diagnosis model (CDM), it does not account for the heterogeneity that is rooted from the existing latent groups in the population of examinees.
Joemari Olea, Kevin Carl Santos
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A cognitive diagnosis model for disengaged behaviors
Behavior Research MethodsCognitive diagnosis assessments are frequently used for formative purposes. Due to the low-stakes nature of these assessments, students may exhibit disengaged behaviors, such as rapid guessing and item omissions. Most existing studies in cognitive diagnosis models assume that item responses are reflections of students' proficiency without considering ...
Benjamin, Lugu +2 more
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Evaluation of Model Fit in Cognitive Diagnosis Models
International Journal of Testing, 2016Cognitive diagnosis models (CDMs) estimate student ability profiles using latent attributes. Model fit to the data needs to be ascertained in order to determine whether inferences from CDMs are valid. This study investigated the usefulness of some popular model fit statistics to detect CDM fit including relative fit indices (AIC, BIC, and CAIC), and ...
Jinxiang Hu +3 more
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A Cognitive Diagnosis Model for Cognitively Based Multiple-Choice Options
Applied Psychological Measurement, 2009Cognitive or skills diagnosis models are discrete latent variable models developed specifically for the purpose of identifying the presence or absence of multiple fine-grained skills. However, applications of these models typically involve dichotomous or dichotomized data, including data from multiple-choice (MC) assessments that are scored as right or
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Computational Cognitive Modeling for the Diagnosis of Specific Language Impairment
2013Specific Language Impairment (SLI), as many other cognitive deficits, is difficult to diagnose given its heterogeneous profile and its overlap with other impairments. Existing techniques are based on different criteria using behavioral variables on different tasks.
Jesus Oliva +3 more
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New development of cognitive diagnosis models
Frontiers of Computer Science, 2022Yingjie Liu +4 more
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Cognitive diagnosis modelling incorporating item response times
British Journal of Mathematical and Statistical Psychology, 2017To provide more refined diagnostic feedback with collateral information in item response times ( RT s), this study proposed joint modelling of attributes and response speed using item responses and RT s simultaneously for cognitive diagnosis.
Peida Zhan, Hong Jiao, Dandan Liao
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A “Learning from Models” Cognitive Fault Diagnosis System
2012We present an unsupervised cognitive fault diagnosis framework for nonlinear dynamic systems working in the space of approximating models. The diagnosis system detects and classifies faults by relying on a fault dictionary that is empty at the beginning of the system's life and is automatically populated as faults occur.
ALIPPI, CESARE +2 more
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Diagnosis in SEMS Based on Cognitive Models
2018Problem statement: SEMS is a complex dynamic object in the operational phase of which it is likely that abnormal situations may occur in which the state of the equipment goes beyond the normal functioning, which can subsequently lead to an accident. Despite the importance of the need and importance of effectively solving the problems of diagnostics of ...
Vladimir V. Korobkin +1 more
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