Results 31 to 40 of about 17,588,721 (291)
On the Estimation of Standard Errors in Cognitive Diagnosis Models [PDF]
Journal of Educational and Behavioral Statistics, 2017 Cognitive diagnosis models (CDMs) are an increasingly popular method to assess mastery or nonmastery of a set of fine-grained abilities in educational or psychological assessments. Several inference techniques are available to quantify the uncertainty of model parameter estimates, to compare different versions of CDMs, or to check model assumptions ...
Philipp, Michel +3 more
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Cognitive and behavioural predictors of survival in Alzheimer disease:results from a sample of treated patients in a tertiary-referral memory clinic [PDF]
, 2011 OBJECTIVE: This study examined the influence of cognitive and non-cognitive factors at the time of diagnosis on the survival of patients with treated probable Alzheimer Disease (AD).METHODS: Consecutive patients seen at a regional, tertiary-referral ...
Russ, Tom C; id_orcid +5 more
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A Theoretical Framework for a Mathematical Cognitive Model for Adaptive Learning Systems
Behavioral Sciences, 2023 The emergence of artificial intelligence has made adaptive learning possible, but building an adaptive system requires a comprehensive understanding of students’ cognition. The cognitive model provides a crucial theoretical framework to explore students’
Siyu Sun, Xiaopeng Wu, Tianshu Xu
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Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models
Psychometrika, 2023 Cognitive Diagnosis Models (CDMs) are a special family of discrete latent variable models that are widely used in educational and psychological measurement. A key component of CDMs is the Q-matrix characterizing the dependence structure between the items and the latent attributes.
Chenchen Ma, Jing Ouyang, Gongjun Xu
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General Cognitive Diagnosis Model for Response Time [PDF]
, 2022 This study proposes a general cognitive diagnosis model for response times (CDM-RT). The idea of the model is to consider person parameters defined on fine-grained attributes to improve the model fit and skill diagnosis related to RTs.
Chen, Yi, Lee, Young-sun, Yang, Yi
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Integrating Temporal Information Into Knowledge Tracing: A Temporal Difference Approach
IEEE Access, 2018 Bayesian knowledge tracing (BKT), which is used to diagnose examinees' knowledge state quantitatively, plays an important role in intelligent tutoring systems.
Junhu Zhu +3 more
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Cognitive profiles of vascular and neurodegenerative MCI [PDF]
, 2008 The objective of the thesis was to investigate the cognitive profiles of different types of mild cognitive impairment (MCI) and follow their course over time.
Nordlund, Arto
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, 2023 This Model of Care has been developed in partnership with HSE Social Inclusion, HSE Health and Wellbeing and the National Office of Suicide Prevention and in collaboration with voluntary bodies including Sec.39 agencies.
National Working Group for Dual Diagnosis
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Explanatory Cognitive Diagnosis Models Incorporating Item Features
Journal of IntelligenceItem quality is crucial to psychometric analyses for cognitive diagnosis. In cognitive diagnosis models (CDMs), item quality is often quantified in terms of item parameters (e.g., guessing and slipping parameters).
Manqian Liao, Hong Jiao, Qiwei He
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Application of Deep Learning in Classification and Diagnosis of Mild Cognitive Impairment [PDF]
Jisuanji kexue yu tansuoAlzheimer's disease is an irreversible neurodegenerative disease that has not been completely cured, but its progression can be delayed by early intervention. Mild cognitive impairment is the initial stage of Alzheimer??s disease.
ZHOU Qixiang, WANG Xiaoyan, ZHANG Wenkai, HE Xin
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