Results 11 to 20 of about 17,588,721 (291)
, 2023 Cognitive diagnosis models originated in the field of educational measurement as a psychometric tool to provide finer-grained information more suitable for formative assessment. Typically,but not necessarily, these models classify examinees as masters or nonmasters on a set of binary attributes.
Torre, Jimmy de la +1 more
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Cognitive control in the generation of random sequences: a computational study of secondary task effects [PDF]
, 2011 Cognitive control processes, such as those involved in response inhibition or task switching, have been the focus of much recent research. Few studies, however, have considered how such processes work together in tasks that require multiple control ...
Cooper, Richard P.
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Determining the Number of Attributes in Cognitive Diagnosis Modeling [PDF]
Frontiers in Psychology, 2021 Cognitive diagnosis models (CDMs) allow classifying respondents into a set of discrete attribute profiles. The internal structure of the test is determined in a Q-matrix, whose correct specification is necessary to achieve an accurate attribute profile classification.
Najera Álvarez, Pablo +2 more
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DINA Model with Entropy Penalization
Mathematics, 2023 The cognitive diagnosis model (CDM) is an effective statistical tool for extracting the discrete attributes of individuals based on their responses to diagnostic tests.
Juntao Wang, Yuan Li
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Partial-mastery cognitive diagnosis models
The Annals of Applied Statistics, 2021 Cognitive diagnosis models (CDMs) are a family of discrete latent attribute models that serve as statistical basis in educational and psychological cognitive diagnosis assessments. CDMs aim to achieve fine-grained inference on individuals' latent attributes, based on their observed responses to a set of designed diagnostic items.
Shang, Zhuoran +2 more
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Journal of Intelligence, 2023 In cognitive diagnosis models, the condensation rule describes the logical relationship between the required attributes and the item response, reflecting an explicit assumption about respondents’ cognitive processes to solve problems.
Peida Zhan
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Model for the Diagnosis of Autism Based on Neutrosophic Cognitive Maps [PDF]
Neutrosophic Sets and Systems, 2021 Autism spectrum disorders are diverse conditions characterized by some degree of difficulty in social interaction and communication, atypical patterns of activity and behavior, and unusual reactions to sensations.
Lester Noel Reyes Salgado +3 more
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Attention Based Concept Enhanced Cognitive Diagnosis [PDF]
Jisuanji kexue, 2023 Cognitive diagnosis is a fundamental problem in intelligent education systems,which aims to evaluate the mastery le-vels of students on different knowledge concepts.Although the performance current deep learning-based cognitive diagnostic me-thods has ...
YUAN Dongxue, SUN Quansen, FU Peng
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BNMI-DINA: A Bayesian Cognitive Diagnosis Model for Enhanced Personalized Learning
Big Data and Cognitive Computing, 2023 In the field of education, cognitive diagnosis is crucial for achieving personalized learning. The widely adopted DINA (Deterministic Inputs, Noisy And gate) model uncovers students’ mastery of essential skills necessary to answer questions correctly ...
Yiming Chen, Shuang Liang
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Cognitive Diagnosis Modeling Incorporating Item-Level Missing Data Mechanism
Frontiers in Psychology, 2020 The aim of cognitive diagnosis is to classify respondents' mastery status of latent attributes from their responses on multiple items. Since respondents may answer some but not all items, item-level missing data often occur.
Na Shan +3 more
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