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Safiya S. Bakarman; Michael Weaver; Lisa Scarton – Journal of School Nursing, 2024
School-age children with overweight or obesity continue to be problematic in the United States, and are associated with many health, social, and financial problems. Schools provide an excellent venue in which to promote healthy weight in students, and school nurses are well-positioned to play an essential role in controlling obesity. The number of…
Descriptors: Body Composition, Body Weight, Body Height, Educational Environment
Ozgenel, Mustafa; Caliskan Yilmaz, Filiz; Baydar, Feyza – Eurasian Journal of Educational Research, 2018
Purpose: The present research is conducted to identify whether or not school climate is predictive of secondary school students' attachment to school. Research Methods: In the research, a quantitative research model, namely relational survey model, was preferred. The research population consists of secondary school students attending public…
Descriptors: Educational Environment, Predictor Variables, Secondary School Students, Student Attitudes
Daucourt, Mia C.; Erbeli, Florina; Little, Callie W.; Haughbrook, Rasheda; Hart, Sara A. – Scientific Studies of Reading, 2020
According to the Multiple Deficit Model, comorbidity results when the genetic and environmental risk factors that increase the liability for a disorder are domain-general. In order to explore the role of domain-general etiological risk factors in the co-occurrence of learning-related difficulties, the current meta-analysis compiled 38 studies of…
Descriptors: Learning Problems, Attention Deficit Hyperactivity Disorder, Reading Skills, Mathematics Skills
Karagiannakis, Giannis N.; Baccaglini-Frank, Anna E.; Roussos, Petros – Australian Journal of Learning Difficulties, 2016
Through a review of the literature on mathematical learning disabilities (MLD) and low achievement in mathematics (LA) we have proposed a model classifying mathematical skills involved in learning mathematics into four domains (Core number, Memory, Reasoning, and Visual-spatial). In this paper we present a new experimental computer-based battery…
Descriptors: Mathematics Skills, Mathematical Aptitude, Skill Analysis, Learning Disabilities
Hedberg, E. C.; Hedges, Larry V. – Grantee Submission, 2014
Randomized experiments are often considered the strongest designs to study the impact of educational interventions. Perhaps the most prevalent class of designs used in large scale education experiments is the cluster randomized design in which entire schools are assigned to treatments. In cluster randomized trials (CRTs) that assign schools to…
Descriptors: Academic Achievement, Correlation, School Districts, Institutional Characteristics
Adesope, Olusola O.; Lavin, Tracy; Thompson, Terri; Ungerleider, Charles – British Journal of Educational Psychology, 2011
Background: Many countries rely on immigrants for population growth and to maintain a skilled workforce. However, many such immigrants face literacy-related barriers to success in education and in the labour force. Aims: This meta-analysis reviews experimental and quasi-experimental studies to examine strategies for teaching English literacy to…
Descriptors: Literacy Education, Economic Status, Phonics, Academic Achievement
Schweinle, Amy; Meyer, Debra K.; Turner, Julianne C. – Journal of Educational Research, 2006
The authors explored the relationship between motivation and affect in upper elementary mathematics classes from the perspective of flow theory. They also investigated the relationship between students' motivation and teachers' instructional practices. Students' reported classroom experiences formed 4 factors--Social Affect, Personal Affect,…
Descriptors: Self Efficacy, Student Motivation, Elementary School Mathematics, Factor Analysis