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E. C. Hedberg – Grantee Submission, 2016
Background: There is an increased focus on randomized trials for proximal behavioral outcomes in early childhood research. However, planning sample sizes for such designs requires extant information on the size of effect, variance decomposition, and effectiveness of covariates. Objectives: The purpose of this article is to employ a recent large…
Descriptors: Randomized Controlled Trials, Kindergarten, Children, Longitudinal Studies
Willner, Cynthia J.; Gatzke-Kopp, Lisa M.; Bierman, Karen L.; Greenberg, Mark T.; Segalowitz, Sidney J. – Developmental Psychology, 2015
Learning-related behaviors are important for school success. Socioeconomic disadvantage confers risk for less adaptive learning-related behaviors at school entry, yet substantial variability in school readiness exists within socioeconomically disadvantaged populations. Investigation of neurophysiological systems associated with learning-related…
Descriptors: Attention, Learning Processes, Academic Achievement, Neurology
Levy, S. T.; Mioduser, D. – International Journal of Computers for Mathematical Learning, 2010
This study investigates how young children master, construct and understand intelligent rule-based robot behaviors, focusing on their strategies in gradually meeting the tasks' complexity. The wider aim is to provide a comprehensive map of the kinds of transitions and learning that take place in constructing simple emergent behaviors, particularly…
Descriptors: Play, Investigations, Young Children, Kindergarten
Bienkowski, Marie; Feng, Mingyu; Means, Barbara – Office of Educational Technology, US Department of Education, 2012
As more of commerce, entertainment, communication, and learning are occurring over the Web, the amount of data online activities generate is skyrocketing. Commercial entities have led the way in developing techniques for harvesting insights from this mass of data for use in identifying likely consumers of their products, in refining their products…
Descriptors: Teaching Methods, Learning Processes, Data Analysis, Barriers

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