Global ETD Search
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Showing 1 to 6 of 6 for “"Cognitive diagnosis model"”.
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A Bayesian Framework for the Unified Model for Assessing Cognitive Abilities: Blending Theory With Practicality
… gives a literature review of other psychometric models for formative assessment, or cognitive diagnosis models, as an introduction to the Reparameterized Unified Model (RUM), a statistically identifiable, practical cognitive diagnosis model developed by the author from the Unified Model of …
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Sequential mastery detection and Bayesian learning promotion under cognitive diagnosis models
… of sequential change-detection methods under the cognitive diagnosis models. To that end, we introduce the change-detection methods that involve different set of information. We further introduce a model for the didactic value of items that readily leads to a sequential learning enhancement and …
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A class of sequential exploratory general cognitive diagnosis models using a polya-gamma data augmentation strategy
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms
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Data-driven adaptive learning systems
… structures. To this end, we first develop a model for learners' hierarchical skills in the adaptive learning system. Based on the hierarchical skill model and the classical cognitive diagnosis model, we further develop a framework to model various levels of proficiency related to hierarchical …
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Sampling for network motif detection and estimation of Q-matrix and learning trajectories in DINA model
… tools to conduct statistical inference on models that are difficult or impossible to compute analytically and are widely used in many areas of statistical applications, such as bioinformatics and psychometrics. This thesis develops several sampling algorithms to address open issues in …
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Some theoretical and applied developments to support cognitive learning and adaptive testing
Cognitive diagnostic Modeling (CDM) and Computerized Adaptive Testing (CAT) are useful tools to measure subjects' latent abilities from two different aspects. CDM plays a very important role in the fine-grained assessment, where the primary purpose is to accurately classify subjects according to …