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Jessica Arnold; Julie Webb – WestEd, 2024
While there are many different types of education data, policymakers and education leaders often place heavy emphasis on data from large-scale quantitative measures, such as annual state assessments. But data from these sources alone do not provide a complete picture of learning and are often not well suited to informing improvements at the local…
Descriptors: Data Use, Measurement, Educational Improvement, Outcomes of Education
Sumitra Tatapudy; Rachel Potter; Linnea Bostrom; Anne Colgan; Casey J. Self; Julia Smith; Shangmou Xu; Elli J. Theobald – CBE - Life Sciences Education, 2024
The underrepresentation and underperformance of low-income, first-generation, gender minoritized, Black, Latine, and Indigenous students in Science, Technology, Engineering, and Mathematics (STEM) occurs for a variety of reasons, including, that students in these groups experience opportunity gaps in STEM classes. A critical approach to disrupting…
Descriptors: Equal Education, Outcomes of Education, Visualization, Reflection
Pushparatnam, Adelle; Seiden, Jonathan; Luna-Bazaldua, Diego – World Bank, 2022
A growing understanding of the importance of children's earliest years has led to an increasing desire to measure early childhood development (ECD) outcomes. There are now nearly 150 tools for measuring ECD outcomes internationally, which can make it challenging to choose an appropriate measurement tool for a given measurement effort. This…
Descriptors: Outcomes of Education, Evaluation Methods, Early Childhood Education, Population Groups
Bowen, Natasha K.; Lucio, Robert; Patak-Pietrafesa, Michele; Bowen, Gary L. – Children & Schools, 2020
To support student success effectively, school teams need information on known predictors of youth behavior and academic performance. In contrast to measures of behavioral and academic outcomes that are commonly relied on in schools, the School Success Profile (SSP) for middle and high school students provides comprehensive information on…
Descriptors: Success, Predictor Variables, Behavior, Expectation
Morris, Kelsey; Feinberg, Adam – Center on Positive Behavioral Interventions and Supports, 2022
Prioritizing social, emotional, and behavioral supports is essential for student success. By establishing systems to support students' social (how they interact), emotional (how they feel), and behavioral (how they act) needs and growth, educators and leaders can ensure that all students have full access to instruction and the essential skills for…
Descriptors: Fidelity, Data Collection, Positive Behavior Supports, Multi Tiered Systems of Support
Isaac, James; Pretlow, Josh; Cheng, Diane; Roberson, Amanda Janice – Institute for Higher Education Policy, 2022
We cannot continue to ask students -- and their families -- to make one of the largest and most important investments of their lives without clearer information about what their time and money will yield. Fortunately, support is broad across the country and across the political spectrum for a federal student-level data network (SLDN), which would…
Descriptors: College Students, Information Networks, Federal Programs, Higher Education
Hwang, Joyce – New America, 2021
Youth apprenticeship is a strategy for building a more inclusive economy by creating affordable, reliable, and equitable pathways from high school to good jobs and college degrees. As youth apprenticeship programs develop and expand across the U.S., it is critical that practitioners develop plans for capturing, analyzing, and leveraging data at…
Descriptors: Apprenticeships, High School Students, Partnerships in Education, Data Analysis
Center for IDEA Early Childhood Data Systems (DaSy), 2022
The Individuals with Disabilities Education Act (IDEA) funds programs providing services designed to assist children with a range of delays and disabilities in achieving individualized developmental and functional goals. There are two types of programs. Part C Early Intervention is for children ages birth-2, and Part B Preschool is for children…
Descriptors: Educational Legislation, Federal Legislation, Equal Education, Students with Disabilities
Hoffman, Nancy; O'Connor, Anna; Mawhinney, Joanna – Jobs for the Future, 2022
The purpose of this brief is to provide school-level examples of how early college practitioners are collecting and using data to improve their practices. Examples three and four are school-level data from two early college partnerships: the MetroWest CPC (Framingham, Milford, Waltham), and Lawrence. The brief begins, however, with the national…
Descriptors: College School Cooperation, Partnerships in Education, High Schools, Universities
Pistilli, Matthew D.; Heileman, Gregory L. – New Directions for Higher Education, 2017
This chapter provides information on how the promise of analytics can be realized in gateway courses through a combination of good data science and the thoughtful application of outcomes to teaching and learning improvement efforts--especially with and among instructors.
Descriptors: Data Collection, Data Analysis, Introductory Courses, Outcomes of Education
Coleman, Stephanie L.; Snyder, Kelly; Skinner, Lacy; Griffin, Jamie – Intervention in School and Clinic, 2020
The Good Behavior Game (GBG) is a well-established intervention for decreasing problem behaviors in the classroom. Although the GBG has a long history of both empirical support and real-world implementation, the specific types of supports teachers find useful in implementing evidence-based interventions is an area that has received increasing…
Descriptors: Behavior Problems, Games, Intervention, Program Implementation
Isaac, James; Velez, Erin; Roberson, Amanda Janice – Institute for Higher Education Policy, 2023
Students, families, colleges, and lawmakers need clearer information on postsecondary outcomes to make informed decisions. By leveraging data available at institutions and federal agencies, a nationwide student-level data network (SLDN) would close information gaps that persist in our higher education landscape to answer critical questions about…
Descriptors: College Students, Data, Information Networks, Program Design
Education Scotland, 2022
The first five years of the Scottish Attainment Challenge saw much progress in closing the poverty-related attainment gap but at a limited pace. The pandemic disrupted the learning of our children and young people and had a disproportionate impact on children affected by poverty. The refreshed Scottish Attainment Challenge programme, backed by a…
Descriptors: Foreign Countries, Educational Attainment, Achievement Gap, Poverty
National Forum on Education Statistics, 2023
This guide is designed for use by school, district, and state education agency staff to improve the effectiveness of efforts to collect and use discipline data, including reporting accurate and timely data to the federal government. It explains the importance of collecting discipline data, identifies key considerations for agencies implementing…
Descriptors: Discipline, Data Collection, Data Analysis, School Districts
Clery, Sue; Frye, Bobbie E. – New Directions for Community Colleges, 2018
This chapter identifies some of the challenges surrounding data collection and analysis regarding development students, including testing and identifying academic needs, placement determination, and measuring student outcomes.
Descriptors: Developmental Studies Programs, Data Collection, Data Analysis, Testing