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Direct linkWilliamson, Ben – Pedagogy, Culture and Society, 2016
Educational data science is an emerging transdisciplinary field formed from an amalgamation of data science and elements of biological, psychological and neuroscientific knowledge about learning, or learning science. This article conceptualises educational data science as a biopolitical strategy focused on the evaluation and management of the…
Descriptors: Neurosciences, Case Studies, Data Analysis, Data
de Bruin, Anique B. H. – Advances in Health Sciences Education, 2016
Since emergence of the field "Educational Neuroscience" (EN) in the late nineties of the previous century, a debate has emerged about the potential this field holds to influence teaching and learning in the classroom. By now, most agree that the original claims promising direct translations to teaching and learning were too strong. I…
Descriptors: Neurosciences, Health Sciences, Health Education, Evidence
Download full textOsler, James Edward – Journal on Educational Psychology, 2015
This monograph provides a neuroscience-based systemological, epistemological, and methodological rational for the design of an advanced and novel parametric statistical analytics designed for the biological sciences referred to as "Biotrichotomy". The aim of this new arena of statistics is to provide dual metrics designed to analyze the…
Descriptors: Neurosciences, Epistemology, Biology, Statistics
Bishop, D. V. M. – Journal of Child Psychology and Psychiatry, 2013
Background: Our ability to look at structure and function of a living brain has increased exponentially since the early 1970s. Many studies of developmental disorders now routinely include a brain imaging or electrophysiological component. Amid current enthusiasm for applications of neuroscience to educational interventions, we need to pause to…
Descriptors: Neurosciences, Intervention, Language Impairments, Children
Jung, Kwanghee; Takane, Yoshio; Hwang, Heungsun; Woodward, Todd S. – Psychometrika, 2012
We propose a new method of structural equation modeling (SEM) for longitudinal and time series data, named Dynamic GSCA (Generalized Structured Component Analysis). The proposed method extends the original GSCA by incorporating a multivariate autoregressive model to account for the dynamic nature of data taken over time. Dynamic GSCA also…
Descriptors: Structural Equation Models, Longitudinal Studies, Data Analysis, Reliability
Arnold, L. Eugene; Lofthouse, Nicholas; Hersch, Sarah; Pan, Xueliang; Hurt, Elizabeth; Bates, Bethany; Kassouf, Kathleen; Moone, Stacey; Grantier, Cara – Journal of Attention Disorders, 2013
Objective: Preparing for a definitive randomized clinical trial (RCT) of neurofeedback (NF) for ADHD, this pilot trial explored feasibility of a double-blind, sham-controlled design and adherence/palatability/relative effect of two versus three treatments/week. Method: Unmedicated 6- to 12-year-olds with "Diagnostic and Statistical Manual of…
Descriptors: Attention Deficit Hyperactivity Disorder, Research Methodology, Program Effectiveness, Outcomes of Treatment
Dennis, Tracy A.; Buss, Kristin A.; Hastings, Paul D.; Bell, Martha Ann; Diaz, Anjolii; Adam, Emma K.; Miskovic, Vladimir; Schmidt, Louis A.; Feldman, Ruth; Katz, Lynn Fainsilber; Rigterink, Tami; Strang, Nicole M.; Hanson, Jamie L.; Pollak, Seth D.; Dahl, Ronald E.; Silk, Jennifer S.; Siegle, Greg J.; Beauchaine, Theodore P.; Cicchetti, Dante; Rogosch, Fred A.; Fox, Nathan A.; Kirwan, Michael; Reeb-Sutherland, Bethany; Gunnar, Megan R.; Obradovic, Jelena; Boyce, W. Thomas; Molenaar, Peter C. M.; Gates, Kathleen M. – Monographs of the Society for Research in Child Development, 2012
In the past decade, there has been a dramatic growth in research examining the development of emotion from a physiological perspective. However, this widespread use of physiological measures to study emotional development coexists with relatively few guiding principles, thus reducing opportunities to move the field forward in innovative ways. The…
Descriptors: Physiology, Psychological Patterns, Emotional Development, Measurement
