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Melissa Pearrow; Whitney Walker; Jill S. Battal; Brian Daniels; Amy Kaye; Alexis Ervin – Middle School Journal, 2025
Early adolescence is a time of rapid cognitive, psychosocial, and physical development, and an array of contextual factors, such as systemic racism, exert significant influence. Universal behavioral health screening data of 4,234 middle school students were examined to explore the influence of demographic (e.g. ethnicity, race) and contextual…
Descriptors: Early Adolescents, Middle School Students, Urban Schools, Health Behavior
Hemphill, Lowry; Kim, James; Yudron, Monica; LaRusso, Maria; Donovan, Suzanne; Sabatini, John; O'Reilly, Tenaha – Society for Research on Educational Effectiveness, 2015
The roughly one-quarter of U.S. eighth graders who score below basic on national assessments of reading are poorly equipped for the reading demands of secondary school. They struggle with summarizing and making text-based inferences (NCES, 2013). Intervention in middle school needs to be comprehensive, both because of the heterogeneity of the…
Descriptors: Middle School Students, Reading Programs, Intervention, Adolescents
Li, Jia; Snow, Catherine; White, Claire – Canadian Journal of Learning and Technology, 2015
Modern teens have pervasively integrated new technologies into their lives, and technology has become an important component of teen popular culture. Educators have pointed out the promise of exploiting technology to enhance students' language and literacy skills and general academic success. However, there is no consensus on the effect of…
Descriptors: Adolescents, Technology Uses in Education, Literacy Education, Urban Schools
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
Morgan, Emily H.; Houser, Robert F.; Au, Lauren E.; Sacheck, Jennifer M. – Journal of School Nursing, 2013
School-based body mass index (BMI) notification programs are often used to raise parental awareness of childhood overweight and obesity, but how BMI results are associated with physical fitness and diet is less clear. This study examined the relationship between BMI, fitness, and diet quality in a diverse sample of urban schoolchildren…
Descriptors: Body Composition, Physical Fitness, Dietetics, Obesity
Koedinger, Kenneth R.; McLaughlin, Elizabeth A.; Heffernan, Neil T. – Journal of Educational Computing Research, 2010
ASSISTments is a web-based math tutor designed to address the need for timely student assessment while simultaneously providing instruction, thereby avoiding lost instruction time that typically occurs during assessment. This article presents a quasi-experiment that evaluates whether ASSISTments use has an effect on improving middle school…
Descriptors: Feedback (Response), Middle School Students, Formative Evaluation, Grade 7
Glass, Don; Henderson, Bill; Barnum, Leah; Kronenberg, Deborah; Blair, Kati; Jenkins, Richard; Hurel, Nicole Agois – Online Submission, 2010
The purpose of this publication is to share models and case examples of the process of inclusive arts curriculum design and evaluation. The first section explains the conceptual and curriculum frameworks that were used in the analysis and generation of the featured case studies (i.e. Understanding by Design, Differentiated Instruction, and…
Descriptors: Educational Strategies, Learning Theories, Curriculum Design, Educational Technology
Zorfass, Judith; Urbano, Carole – Regional Educational Laboratory Northeast & Islands, 2008
This study, conducted during the 2006/07 academic year, describes how four midsize urban school districts in the Northeast and Islands Region--Worcester, Massachusetts; Nashua, New Hampshire; Yonkers, New York; and Providence, Rhode Island--were providing foundation skills assessments and programs to struggling middle-grade readers. Researchers…
Descriptors: Urban Schools, Intervention, School Districts, Basic Skills
Chomitz, Virginia R.; Slining, Meghan M.; McGowan, Robert J.; Mitchell, Suzanne E.; Dawson, Glen F.; Hacker, Karen A. – Journal of School Health, 2009
Objectives: To determine relationships between physical fitness and academic achievement in diverse, urban public school children. Methods: This cross-sectional study used public school data from 2004 to 2005. Academic achievement was assessed as a passing score on Massachusetts Comprehensive Assessment System (MCAS) achievement tests in…
Descriptors: Physical Education, Public Schools, Physical Activities, Academic Achievement
Hammerman, James K.; Rubin, Andee – Statistics Education Research Journal, 2004
New software tools for data analysis provide rich opportunities for representing and understanding data. However, little research has been done on how learners use these tools to think about data, nor how that affects teaching. This paper describes several ways that learners use new software tools to deal with variability in analyzing data,…
Descriptors: Computer Software, Data Analysis, Grade 6, Middle School Teachers