Development of an unfolding model of procedures for programming learning of novice programmers
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DOI: 10.1002/cae.22437
Abstract: This study reduces the difficulties experienced by novice computer programmers when establishing a procedure for problem‐solving in a computing environment. It also provides guidelines to detail the work process. For this purpose, we developed an… read more here.
Keywords: unfolding model; group; model procedures; experimental group ... See more keywords
High-Generalized Unfolding Model With Coupled Spatial-Spectral Transformer for Hyperspectral Image Reconstruction
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2025.3564776
Abstract: Deep unfolding framework has witnessed remarkable progress for hyperspectral image (HSI) reconstruction benefitting from advanced consolidation of the imaging model-driven and data-driven approaches, which are generally realized with the data reconstruction error term and the… read more here.
Keywords: spectral transformer; reconstruction; coupled spatial; spatial spectral ... See more keywords
The l z ( p ) * Person-Fit Statistic in an Unfolding Model Context
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DOI: 10.1177/0146621616669336
Abstract: Although person-fit analysis has a long-standing tradition within item response theory, it has been applied in combination with dominance response models almost exclusively. In this article, a popular log likelihood-based parametric person-fit statistic under the… read more here.
Keywords: unfolding model; fit statistic; response; person fit ... See more keywords
GGUM: An R Package for Fitting the Generalized Graded Unfolding Model
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DOI: 10.1177/0146621618772290
Abstract: In this article, the newly created GGUM R package is presented. This package finally brings the generalized graded unfolding model (GGUM) to the front stage for practitioners and researchers. It expands the possibilities of fitting… read more here.
Keywords: package; generalized graded; ggum package; unfolding model ... See more keywords
Bayesian Approaches for Detecting Differential Item Functioning Using the Generalized Graded Unfolding Model
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DOI: 10.1177/01466216211066606
Abstract: Differential item functioning (DIF) analysis is one of the most important applications of item response theory (IRT) in psychological assessment. This study examined the performance of two Bayesian DIF methods, Bayes factor (BF) and deviance… read more here.
Keywords: differential item; unfolding model; model; graded unfolding ... See more keywords