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Institution

University of North Carolina at Greensboro

EducationGreensboro, North Carolina, United States
About: University of North Carolina at Greensboro is a education organization based out in Greensboro, North Carolina, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 5481 authors who have published 13715 publications receiving 456239 citations. The organization is also known as: UNCG & UNC Greensboro.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors examined the relation between kindergarten classroom processes (setting and quality) and children's engagement in activities, compliance with teachers' requests, and interactions with peers, and found that children's on-task and off-task behavior and aggression toward peers varied as a function of the teachers' choice of classroom setting.
Abstract: The present article examined 2 questions about the relation between kindergarten classroom processes (setting and quality) and children’s engagement in activities, compliance with teachers’ requests, and interactions with peers. First, how do children’s engagement, compliance, and cooperation vary as a function of teachers’ use of classroom settings, and second, how does classroom quality moderate the co‐occurrence between teachers’ choice of classroom settings and children’s behaviors? The classrooms of 250 kindergarten children were observed once for approximately 3 hours each. Data on classroom setting (e.g., whole class or small group) and children’s behaviors (e.g., engagement, compliance with the teachers’ requests) were gathered using a time‐sampled method. Classroom quality was assessed using global ratings. Results showed that children’s on‐task and off‐task behavior and aggression toward peers varied as a function of the teachers’ choice of classroom setting. However, compliance with te...

286 citations

Journal ArticleDOI
TL;DR: Findings provide compelling support for the gender similarities hypothesis, but also underscore conditions under which gender differences are most pronounced.
Abstract: Despite the common lay assumption that males and females are profoundly different, Hyde (2005) used data from 46 meta-analyses to demonstrate that males and females are highly similar. Nonetheless, the gender similarities hypothesis has remained controversial. Since Hyde's provocative report, there has been an explosion of meta-analytic interest in psychological gender differences. We utilized this enormous collection of 106 meta-analyses and 386 individual meta-analytic effects to reevaluate the gender similarities hypothesis. Furthermore, we employed a novel data-analytic approach called metasynthesis (Zell & Krizan, 2014) to estimate the average difference between males and females and to explore moderators of gender differences. The average, absolute difference between males and females across domains was relatively small (d = 0.21, SD = 0.14), with the majority of effects being either small (46%) or very small (39%). Magnitude of differences fluctuated somewhat as a function of the psychological domain (e.g., cognitive variables, social and personality variables, well-being), but remained largely constant across age, culture, and generations. These findings provide compelling support for the gender similarities hypothesis, but also underscore conditions under which gender differences are most pronounced.

286 citations

Journal ArticleDOI
TL;DR: By placing Professional Capital into this educational policy landscape, its aims can be more carefully examined as discussed by the authors, which can be read as a reaction to social and political forces that Hargreaves an...
Abstract: By placing Professional Capital into this educational policy landscape, its aims can be more carefully examined. The book can be read as a reaction to social and political forces that Hargreaves an...

285 citations

Journal ArticleDOI
TL;DR: Some blockchain-enabled e-voting implementations and the approach’s potential benefits and challenges are highlighted.
Abstract: Blockchain-enabled e-voting (BEV) could reduce voter fraud and increase voter access. Eligible voters cast a ballot anonymously using a computer or smartphone. BEV uses an encrypted key and tamper-proof personal IDs. This article highlights some BEV implementations and the approach’s potential benefits and challenges.

284 citations

Journal ArticleDOI
TL;DR: Age of onset of home reading routines was the most important predictor of oral language skills and multiple regression analyses indicated that picture-book reading exposure was more strongly related to receptive than to expressive language.
Abstract: The purpose of this study was to explore the relation between joint picture-book-reading experiences provided in the home and children's early oral language skills. Subjects were 41 two-year-old children and their mothers. Measures included maternal report of the age at which she began to read to the child, the frequency of home reading sessions, the number of stories read per week, and the frequency of visits by the child to the local library. Measures of language skill used were the child's receptive and expressive scores on the revised Reynell Developmental Language Scales. Multiple regression analyses indicated that picture-book reading exposure was more strongly related to receptive than to expressive language. Age of onset of home reading routines was the most important predictor of oral language skills. Directions of effect, the importance of parental beliefs as determinants of home reading practices, and the possible existence of a threshold level for reading frequency are discussed.

284 citations


Authors

Showing all 5571 results

NameH-indexPapersCitations
Douglas E. Soltis12761267161
John C. Wingfield12250952291
Laurence Steinberg11540370047
Patrick Y. Wen10983852845
Mark T. Greenberg10752949878
Steven C. Hayes10645051556
Edward McAuley10545145948
Roberto Cabeza9425236726
K. Ranga Rama Krishnan9029926112
Barry J. Zimmerman8817756011
Michael K. Reiter8438030267
Steven R. Feldman83122737609
Charles E. Schroeder8223426466
Dale H. Schunk8116245909
Kim D. Janda7973126602
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202332
2022143
2021977
2020851
2019760
2018717