Open Access. Powered by Scholars. Published by Universities.®

Education Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 3 of 3

Full-Text Articles in Education

Exploring The Neural Mechanisms Of Physics Learning, Jessica E. Bartley Nov 2018

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 May 2018

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 …


Effects Of Parent-Implemented Interventions On Outcomes For Children With Developmental Disabilities: A Meta-Analysis, Tina Taylor, Timothy B. Smith, Byran B. Korth, Barbara Mandleco Jan 2018

Effects Of Parent-Implemented Interventions On Outcomes For Children With Developmental Disabilities: A Meta-Analysis, Tina Taylor, Timothy B. Smith, Byran B. Korth, Barbara Mandleco

Faculty Publications

A large body of literature exists related to parent-implemented interventions for children with disabilities, so it is helpful to synthesize the results of outcome-based interventions for children with developmental disabilities. Specifically, what are the effects of parent-implemented interventions intended to improve children’s (1) social behaviors, (2) life skills/adaptive behavior, and (3) communication skills? Using meta-analytic aggregation of effect sizes across 30 studies with a total of 1,356 participants, this review examined the association between parent-implemented interventions and intended outcomes for young children with developmental disabilities. Across all 30 studies comparing children’s outcomes to control groups, the random-effects-weighted average effect size …