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Parong, Jocelyn; Mayer, Richard E. – Applied Cognitive Psychology, 2020
Summary The goal of the present study was to examine the effects of playing an immersive virtual reality game that included a collection of gamified cognitive tasks, "Cerevrum," on specific components of cognition, including perceptual attention, mental rotation, working memory, visualization, visual field of view, and visual processing…
Descriptors: Cognitive Processes, Cognitive Development, Educational Games, Training
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Williams, Thomas O., Jr.; Ernst, Jeremy V.; Kelly, Daniel P.; Clark, Aaron C. – Engineering Design Graphics Journal, 2019
The Purdue Spatial Visualization Test: Visualization of Rotations (PSVT: R) is a widely used assessment of spatial ability. In this report, the factor structure of the PSVT: R test items was examined through confirmatory factor analysis with data from 541 engineering design graphics students. Stata 15 and Mplus 8.2 statistical software were used…
Descriptors: Spatial Ability, Visualization, Cognitive Ability, Visual Measures
Kurtulus, Aytaç – Online Submission, 2019
The aim of this study was to improve pre-service teachers' ability to infer cross-sections of geometric solids with Wolfram demonstrations and Mathematica in Analytic Geometry II course. The study was conducted with third year students studying Elementary Mathematics Education. In this study, the pre-test--post-test control group design was used.…
Descriptors: Spatial Ability, Visualization, Training, Computer Assisted Instruction
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Barber, Horacio A.; Otten, Leun J.; Kousta, Stavroula-Thaleia; Vigliocco, Gabriella – Brain and Language, 2013
Relative to abstract words, concrete words typically elicit faster response times and larger N400 and N700 event-related potential (ERP) brain responses. These effects have been interpreted as reflecting the denser links to associated semantic information of concrete words and their recruitment of visual imagery processes. Here, we examined…
Descriptors: Language Processing, Reaction Time, Responses, Brain
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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