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High-risk profiles for functional and cognitive decline following COVID-19 confinement in nursing home residents: A multicentre observational study [PDF]
An Sist Sanit NavarSan Martín-Erice I +6 more
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New development of cognitive diagnosis models
Frontiers of Computer Science, 2022Tiancheng Zhang, Ge Yu
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A Sparse Latent Class Model for Cognitive Diagnosis
Psychometrika, 2020Cognitive diagnostic models (CDMs) are latent variable models developed to infer latent skills, knowledge, or personalities that underlie responses to educational, psychological, and social science tests and measures. Recent research focused on theory and methods for using sparse latent class models (SLCMs) in an exploratory fashion to infer the latent
Yinyin Chen +2 more
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Cognitive diagnosis models for multiple strategies
British Journal of Mathematical and Statistical Psychology, 2019Cognitive diagnosis models ( CDM s) have been used as psychometric tools in educational assessments to estimate students’ proficiency profiles. However, most CDM s assume that all students adopt the same strategy when approaching problems in an ...
Wenchao Ma, Wenjing Guo
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Incorporating Student Covariates in Cognitive Diagnosis Models
Journal of Classification, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Elizabeth Ayers +2 more
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Learning in the Model Space for Cognitive Fault Diagnosis
IEEE Transactions on Neural Networks and Learning Systems, 2014The emergence of large sensor networks has facilitated the collection of large amounts of real-time data to monitor and control complex engineering systems. However, in many cases the collected data may be incomplete or inconsistent, while the underlying environment may be time-varying or unformulated.
Huanhuan Chen 0001 +3 more
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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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