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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Exploring The Neural Mechanisms Of Physics Learning, Jessica E. Bartley
Exploring The Neural Mechanisms Of Physics Learning, Jessica E. Bartley
FIU Electronic Theses and Dissertations
This dissertation presents a series of neuroimaging investigations and achievements that strive to deepen and broaden our understanding of human problem solving and physics learning. Neuroscience conceives of dynamic relationships between behavior, experience, and brain structure and function, but how neural changes enable human learning across classroom instruction remains an open question. At the same time, physics is a challenging area of study in which introductory students regularly struggle to achieve success across university instruction. Research and initiatives in neuroeducation promise a new understanding into the interactions between biology and education, including the neural mechanisms of learning and development. These …
Hierarchical Meta-Analysis: A Simulation Study Comparing Classical Random Effects And Fully Bayesian Methods, Nancy R. Andiloro
Hierarchical Meta-Analysis: A Simulation Study Comparing Classical Random Effects And Fully Bayesian Methods, Nancy R. Andiloro
Dissertations, Theses, and Capstone Projects
Meta-analytic data have a natural hierarchical structure to them, where individuals are nested within studies, and have both within-and between-study variation to model. A random-effects hierarchical linear model is useful to conduct a meta-analysis because it allows one to appropriately parse out the two components of variation that exist within and across studies to determine an observed effect. Empirical Bayes estimation considers the reliability of variance estimates; when the reliability of the effect size estimate for a study is high, substantial weight is placed on that estimate. However, problems with estimation arise when the number of studies and their sample …