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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
Hannah Lantos; Zakia Redd; Jessica Warren; Michael Bradley; Sham Habteselasse – Child Trends, 2024
Out-of-school-time (OST) programs and their funders rely on sound data to make decisions about everything from professional development and student recruitment to the selection of activities to offer students. Programs operate at a range of times (before and after school, weekends, summer) and in a variety of locations (e.g., schools,…
Descriptors: Child Development, Program Effectiveness, Outcome Measures, After School Programs
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Schachter, Rachel E.; Yeomans-Maldonado, Gloria; Piasta, Shayne B. – Journal of Literacy Research, 2023
Despite a growing focus on access to and use of emergent literacy assessment in early childhood, little is known about early childhood teachers' data practices and their associations with children's emergent literacy skills. A questionnaire was used to confirm and elaborate findings from prior qualitative work (Schachter & Piasta, 2022)…
Descriptors: Early Childhood Education, Early Childhood Teachers, Emergent Literacy, Data Collection
Bekir Duz – ProQuest LLC, 2023
This action research study investigates the role of Data-Based Decision-Making (DBDM) in increasing academic outcomes within a charter school network. During Cycle 1, interviews and focus groups with teachers, interventionists, and school deans shed light on critical themes, including leadership, data collection, analytic capacity, and a culture…
Descriptors: Data Use, Decision Making, Outcomes of Education, Educational Improvement
Aspen Institute, 2020
Even in "routine" years, the principal's attention to climate matters for wellness, and it matters for outcomes. School climate is a critical factor supporting the quality of student learning, particularly in times of stress. As a result, districts across the nation have dedicated considerable resources to tools used to assess climate,…
Descriptors: Educational Environment, Data Use, Educational Improvement, Equal Education
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
Bryant, Matt – Association for Institutional Research, 2021
Survey methodology is the dominant approach among universities in the United States for reporting employment outcomes for recent graduates. However, past studies have shown that survey methodology may yield upwardly biased results, which can result in overreporting of employment rates and salary outcomes. This case study describes the development…
Descriptors: Data Collection, Data Use, Labor Force, Institutional Research
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
Copa, Nancy; Campbell, Jim; Roberson, Amanda Janice – Institute for Higher Education Policy, 2022
As support continues to grow across the country and across the political spectrum for the federal student-level data network (SLDN) proposed in the College Transparency Act (CTA), IHEP partnered with AEM Education Services, with input from RTI International, to further build out a roadmap to support the implementation of the SLDN. "Frameworks…
Descriptors: Information Networks, College Students, Data Collection, Data Use
Cerna, Oscar; Dukes, Dominique; Perera, Sumner – MDRC, 2022
Implementing institution-wide, systemic change is typically a long and often challenging task for college leaders to undertake. Because each institution is different, the combination of internal and external factors that drive institutional change can vary greatly from college to college, and from moment to moment. Achieving the Dream (ATD), which…
Descriptors: Organizational Change, Achievement Gap, Colleges, Community Colleges
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
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
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Madsen, Miriam – Journal of Education Policy, 2021
The increased use of quantitative education data is often regarded by scholars as evidence of the emergence of 'governing by numbers'. These scholars ascribe major stakeholders such as the OECD and nation states agency as they produce, distribute and consume data, and respond to these with policy and management initiatives. This paper argues that…
Descriptors: Measurement, Evaluation Methods, Qualitative Research, Data Analysis
Huie, Stephanie Bond; Troutman, David R. – Institute for Higher Education Policy, 2019
Accurate, timely data on student outcomes and post-graduate earnings is a critical piece of any state effort to close equity gaps in college access and success, boost attainment statewide, and strategically align education and workforce goals. Unfortunately, in the absence of a federal student-level data network, states and other key stakeholders…
Descriptors: Universities, Government School Relationship, Partnerships in Education, Data Collection
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