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Culpepper, Steven Andrew – Journal of Educational and Behavioral Statistics, 2015
A Bayesian model formulation of the deterministic inputs, noisy "and" gate (DINA) model is presented. Gibbs sampling is employed to simulate from the joint posterior distribution of item guessing and slipping parameters, subject attribute parameters, and latent class probabilities. The procedure extends concepts in Béguin and Glas,…
Descriptors: Bayesian Statistics, Models, Sampling, Computation
Schmittmann, Verena D.; van der Maas, Han L. J.; Raijmakers, Maartje E. J. – Journal of Experimental Child Psychology, 2012
Behavioral, psychophysiological, and neuropsychological studies have revealed large developmental differences in various learning paradigms where learning from positive and negative feedback is essential. The differences are possibly due to the use of distinct strategies that may be related to spatial working memory and attentional control. In…
Descriptors: Feedback (Response), Age, Testing, Learning Strategies
Yu, Angela J.; Dayan, Peter; Cohen, Jonathan D. – Journal of Experimental Psychology: Human Perception and Performance, 2009
The brain exhibits remarkable facility in exerting attentional control in most circumstances, but it also suffers apparent limitations in others. The authors' goal is to construct a rational account for why attentional control appears suboptimal under conditions of conflict and what this implies about the underlying computational principles. The…
Descriptors: Conflict, Attention Control, Exhibits, Probability
Mays, David C. – Journal of Geoscience Education, 2010
This article describes a one-week introduction to stochastic groundwater modeling, intended for the end of a first course on groundwater hydrology, or the beginning of a second course on stochastic hydrogeology or groundwater modeling. The motivation for this work is to strengthen groundwater education, which has been identified among the factors…
Descriptors: Natural Resources, Water, Probability, College Science