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Starns, Jeffrey J.; Cohen, Andrew L.; Bosco, Cara; Hirst, Jennifer – Applied Cognitive Psychology, 2019
We tested a method for solving Bayesian reasoning problems in terms of spatial relations as opposed to mathematical equations. Participants completed Bayesian problems in which they were given a prior probability and two conditional probabilities and were asked to report the posterior odds. After a pretraining phase in which participants completed…
Descriptors: Visualization, Bayesian Statistics, Problem Solving, Probability
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
Yeo, Joseph B. W. – Mathematics Teacher, 2012
Most students love to play games. Ernest (1986) believed that games could be used to teach mathematics effectively in four areas: motivation, concept development, reinforcement of skills, and practice of problem-solving strategies. Fifteen is an interesting and thought-provoking game that helps students learn mathematics at the same time. Playing…
Descriptors: Thinking Skills, Concept Formation, Spatial Ability, Geometric Concepts
Kolloffel, Bas – Computers & Education, 2012
A student might find a certain representational format (e.g., diagram, text) more attractive than other formats for learning. Computer technology offers opportunities to adjust the formats used in learning environments to the preferences of individual learners. The question addressed in the current study was: does the match between a student's…
Descriptors: Cognitive Style, Visual Learning, Verbal Learning, Visualization