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Egan, Cate A.; Merica, Christopher B.; Paul, David R.; Bond, Laura; Rose, Seth; Martin, Andrew; Vella, Chantal – Health Education Journal, 2023
Objectives: In the USA, 18% of school-aged young people are classified as obese, and rural populations appear to be particularly at risk. Achieving high levels of fitness reduces the risk of obesity and underlying health conditions. To better understand youth obesity trends and fitness levels, annual fitness testing ([FT], that is, surveillance)…
Descriptors: Physical Fitness, Health Behavior, Teacher Attitudes, Distance Education
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Ennis, Robin Parks; Lane, Kathleen Lynne; Flemming, Sarah Cole – Exceptionality, 2021
Teachers may benefit from using classroom-delivered, low-intensity strategies to increase engagement of students at-risk for emotional and behavioral disorders and academic failure in the general education classroom. This project focused on empowering teachers to be involved in every step of the research process: screening, planning, data…
Descriptors: Classroom Techniques, Learner Engagement, Student Behavior, At Risk Students
Valenza, Marco; Dreesen, Thomas; Kan, Sophia – UNICEF Office of Research - Innocenti, 2022
One tool that many families own, across the globe, is a basic mobile phone. The use of low-cost basic mobile phones for educational purposes in humanitarian settings is critical where access to connectivity and higher cost devices is limited. The portability of mobile phones, combined with their communication features, offers multiple uses to…
Descriptors: COVID-19, Pandemics, Telecommunications, Handheld Devices
MDRC, 2018
This issue brief describes the programs and systems of the MDRC Center for Data Insights. Ranging from simple descriptive summaries to advanced machine learning algorithms, the Center's eight current projects aim to use institutions' increasingly rich data to provide new insights that can help refine and target their client's services: (1)…
Descriptors: Family Programs, Federal Programs, Welfare Services, State Aid
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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
Peisner-Feinberg, Ellen; Burchinal, Margaret; Soliday Hong, Sandra; Yazejian, Noreen; Shelton-Ormond, Anna; Foster, Tiffany – FPG Child Development Institute, 2020
Pennsylvania Pre-K Counts (PA PKC) is a state-funded prekindergarten program for 3- and 4-year-old children to help them gain school readiness skills. The goal of PA PKC is to help reduce educational disparities by providing high quality prekindergarten for children who lack opportunities or reside in environments that place them at risk of school…
Descriptors: Preschool Education, School Readiness, Program Effectiveness, Equal Education
Johnson, Cleo Jacobs; Madoff, Ava; Richman, Scott; Johnson, Matthew; Gentile, Claudia – Mathematica Policy Research, Inc., 2016
For many years, the Kauffman Foundation has focused efforts on improving educa­tion for children in Kansas City. Prior to opening the Kauffman School, the Kauffman Foundation operated several programs that addressed the challenges faced in urban education, such as Project Early (an early childhood program), Project Choice (a high school dropout…
Descriptors: Charter Schools, Educational Improvement, Dropout Prevention, Urban Schools
Peisner-Feinberg, Ellen; Soliday Hong, Sandra; Yazejian, Noreen; Zadrozny, Sabrina; Burchinal, Margaret – FPG Child Development Institute, 2020
Pennsylvania Pre-K Counts (PA PKC) is a state-funded prekindergarten program for 3- and 4- year-old children to help them gain school readiness skills. The goal of PA PKC is to help reduce educational disparities by providing high quality prekindergarten for children who lack opportunities or reside in environments that place them at risk of…
Descriptors: Preschool Education, School Readiness, Program Effectiveness, Equal Education
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Brawley, Susan; Stormont, Melissa A. – Journal of Positive Behavior Interventions, 2014
The importance of collecting and using data for educational decision making is clear. However, little information has been gathered about the systematic collection and use of data in early childhood. The purpose of this study was to explore teacher perceptions of data collection practices in early childhood. Participants included 137 early…
Descriptors: Data Collection, Early Childhood Education, Teacher Attitudes, Preschool Teachers
Online Submission, 2020
Each year, Austin Independent School District Department of Research and Evaluation (DRE) staff develop a plan of work to describe the scope of work for the coming year. The plans that make up this document identify programs to be evaluated and services to be provided by DRE staff and provide the blueprints for evaluation that staff will follow…
Descriptors: Strategic Planning, Program Descriptions, Program Evaluation, Evaluation Methods
Online Submission, 2019
Each year, Austin Independent School District Department of Research and Evaluation (DRE) staff develop a plan of work to describe the scope of work for the coming year. The plans that make up this document identify programs to be evaluated and services to be provided by DRE staff and provide the blueprints for evaluation that staff will follow…
Descriptors: Strategic Planning, Program Descriptions, Program Evaluation, Evaluation Methods
White, Chaunté; Cruse, Lindsey Reichlin – Institute for Women's Policy Research, 2021
As the Biden-Harris administration seeks to hasten the country's recovery from the COVID-19 pandemic, reforming the U.S. higher education system to ensure equitable access and attainment for all adults is more important than ever. Most student parents are mothers, students of color, adult and working learners, students with low incomes, and…
Descriptors: COVID-19, Pandemics, Higher Education, Parents
Caron, B.; Kendall, R.; Wilson, G.; Hash. M. – Early Learning Challenge Technical Assistance, 2017
The Early Learning Challenge (ELC) program awarded more than $1 billion in four-year grants to 20 States to implement comprehensive and cohesive high-quality early learning systems that support young children with high needs and their families. A key lever in making these improvements was the enhancement of States' Quality Rating and Improvement…
Descriptors: Early Childhood Education, Young Children, Student Needs, Quality Control
Howard, Eboni C.; Rankin, Victoria E.; Fishman, Mike; Hawkinson, Laura E.; McGroder, Sharon M.; Helsel, Fiona K.; Farber, Jonathan; Tuchman, Ariana; Wille, Jessica – Administration for Children & Families, 2014
The purpose of this study was to describe the coaching that occurred at Head Start (HS) grantees as a result of the Early Learning Mentor Coach (ELMC) initiative. This provided a unique opportunity to describe the different dimensions of coaching within HS settings from the perspective of multiple stakeholders--administrators, coaches, and staff.…
Descriptors: Early Intervention, At Risk Students, Mentors, Coaching (Performance)
Public Policy Institute of California, 2021
The past year highlighted and heightened California's key challenges. Millions of Californians lost jobs and income during the COVID-19 crisis; low-income families, communities of color, and women were hit hardest. As schools and universities shifted rapidly to remote learning, educators and parents scrambled to provide all students with…
Descriptors: COVID-19, Pandemics, School Closing, Online Courses
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