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Carrie Klein; Jessica Colorado – State Higher Education Executive Officers, 2024
Since 2010, the State Higher Education Executive Officers Association's (SHEEO) Strong Foundations survey has reported on the evolution and value of postsecondary student unit record systems (PSURSs) by illuminating the condition of state postsecondary data in the U.S. In the "Strong Foundations 2023" survey, which was administered from…
Descriptors: College Students, Student Records, Data Collection, Databases
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Emer Smyth; Ivan Privalko – Educational Review, 2024
There is a large body of research exploring the difficulties young people experience on the transition to secondary education. However, there has been little comparative research yielding insights into how these experiences vary by institutional context. This article explores differences in school transition difficulties among young people in…
Descriptors: Foreign Countries, Secondary School Students, Adjustment (to Environment), Cultural Differences
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Hillman, Velislava – Learning, Media and Technology, 2023
The need for a comprehensive education data governance -- the regulation of who collects what data, how it is used and why -- continues to grow. Technologically, data can be collected by third parties, rendering schools unable to control their use. Legal frameworks partially achieve data governance as businesses continue to exploit existing…
Descriptors: Data Collection, Governance, Data Use, Laws
Gorski, Paul; Swalwell, Katy – ASCD, 2023
"Fix Injustice, Not Kids and Other Principles for Transformative Equity Leadership" offers a deep dive into the leadership values, commitments, and practices that help educational leaders create and sustain equitable schools and districts. Drawing from their extensive equity and inclusion work with schools, Paul Gorski and Katy Swalwell…
Descriptors: Transformational Leadership, Equal Education, Elementary Secondary Education, Leadership Responsibility
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Roegman, Rachel – Education Policy Analysis Archives, 2020
In this comparative study, I examine principal data use in two sets of districts. One set of three districts has a district-wide focus on using data to improve instruction, and the other set, also with three districts, has a district-wide focus on analyzing disaggregated data by student demographic groups. Data sources include interviews with…
Descriptors: Data Use, Principals, School Districts, Equal Education
Statistics Canada, 2024
This handbook updates the general descriptions for the indicators of the Pan-Canadian Education Indicators Program (PCEIP) as new sets of tables are released. It is a reference document that gives readers a broad understanding of each indicator, rather than the very specific methodological descriptions that would be necessary to reproduce the…
Descriptors: Educational Indicators, Guidelines, Foreign Countries, Tables (Data)
Roegman, Rachel; Samarapungavan, Ala; Maeda, Yukiko; Johns, Gary – Educational Leadership, 2019
The "Every Student Succeeds Act" requires that student's test scores be disaggregated by racial characteristics. Nevertheless, the author's recent study suggests that K-12 school principals may not intentionally think about race when they collect, interpret, analyze, and make decisions about data. By not disaggregating data by race,…
Descriptors: Elementary Secondary Education, Race, Data Collection, Data Analysis
Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
Emerging practices in both K-12 and higher education hold great promise in the establishment of equity frameworks. The use of finely disaggregated data, the effort to track additional student groups, and related work, all help to establish policies and tools to monitor the impact of reform efforts to address inequities. State programs and…
Descriptors: Equal Education, State Programs, African American Students, Hispanic American Students
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Greer, Lucas; Steiner, Elizabeth D. – RAND Corporation, 2023
The urgent need to help students -- and particularly students who are Black or Hispanic -- recover from the negative effects of the coronavirus disease 2019 (COVID-19) pandemic on mathematics learning and access equitable opportunities in mathematics will require that teachers use every available tool to diagnose student learning needs and…
Descriptors: Mathematics Teachers, Data Use, Student Characteristics, Access to Information
Peace Bransberger – Western Interstate Commission for Higher Education, 2024
Postsecondary education leaders are eager for reliable data to strategically plan for the next year through the next decade, and WICHE's projections of high school graduates are among the most relied upon sources. As WICHE has reported several times since the pandemic began, the disruption to student populations was illustrated with the shift of…
Descriptors: Postsecondary Education, Elementary Secondary Education, Academic Achievement, Student Characteristics
Hamayan, Else; Marler, Barbara; Sánchez-López, Cristina; Alfredo, Artiles; Damico, Jack – Brookes Publishing Company, 2023
Multilingual learners in Grades K-12 are often overidentified or underidentified for special education. The third edition of this groundbreaking text offers a better way to meet the needs of multilingual learners: by creating a culturally and linguistically responsive multi-tiered system of support (MTSS) and implementing a continuum of services…
Descriptors: Elementary Secondary Education, Multilingualism, Multi Tiered Systems of Support, Student Needs
Education Commission of the States, 2021
In addition to generally reporting on suspension and expulsion use, at least 22 states and the District of Columbia require such reported data to be disaggregated by race, ethnicity, gender or some other category, allowing the possibility of discipline disparities to be documented and addressed. This data point highlights state policy that creates…
Descriptors: State Policy, Discipline Policy, Suspension, Expulsion
Campaign for College Opportunity, 2019
With over 37 million residents, California is the most populous state in the country. California's primary and secondary schools enroll over 6.2 million students,1 and there are 3.4 million undergraduates attending 683 postsecondary institutions in California. Yet, because of the lack of a strong data infrastructure, we are unable to answer basic…
Descriptors: Data Collection, Data Analysis, Higher Education, Access to Education
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Coleman, Chad; Baker, Ryan S.; Stephenson, Shonte – International Educational Data Mining Society, 2019
Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…
Descriptors: Prediction, At Risk Students, Predictor Variables, Elementary Secondary Education
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Koedel, Cory; Parsons, Eric – Educational Evaluation and Policy Analysis, 2021
The Community Eligibility Provision (CEP) is a policy change to the federally administered National School Lunch Program that allows schools serving low-income populations to classify all students as eligible for free meals, regardless of individual circumstances. This has implications for the use of free and reduced-price meal (FRM) data to proxy…
Descriptors: Low Income Students, Eligibility, Lunch Programs, National Programs
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