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Full-Text Articles in Education
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 …
Meta-Analytic Procedures For Career And Technical Education Post-Secondary Researchers And Practitioners, Conrad Oh-Young, Howard R. D. Gordon, Xue Xing, John Filler
Meta-Analytic Procedures For Career And Technical Education Post-Secondary Researchers And Practitioners, Conrad Oh-Young, Howard R. D. Gordon, Xue Xing, John Filler
Journal of Research in Technical Careers
Meta-analytic studies are syntheses of literature in which researchers use statistical means to summarize the findings presented across primary studies. They are of great interest in the fields of medicine and social sciences with numerous examples published in peer-reviewed journals. However, it appears that career and technical education (CTE) researchers are either not performing these research syntheses, or are not publishing their findings. Thus, there are three purposes to this manuscript. The first is to present CTE researchers and practitioners with a rationale as to why meta-analyses should be performed. The second is to provide guidelines that researchers and practitioners …
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 …
The Question Of School Resources And Student Achievement: A History And Reconsideration, Larry Hedges, Terri D. Pigott, Joshua Polanin, Ann Marie Ryan, Charles Tocci, Ryan T. Williams
The Question Of School Resources And Student Achievement: A History And Reconsideration, Larry Hedges, Terri D. Pigott, Joshua Polanin, Ann Marie Ryan, Charles Tocci, Ryan T. Williams
Terri Pigott
One question posed continually over the past century of education research is to what extent school resources affect student outcomes. From the turn of the century to the present, a diverse set of actors, including politicians, physicians, and researchers from a number of disciplines, have studied whether and how money that is provided for schools translates into increased student achievement. The authors discuss the historical origins of the question of whether school resources relate to student achievement, and report the results of a meta- analysis of studies examining that relationship. They find that policymakers, researchers, and other stakeholders have addressed …