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Center for Learner Equity, 2024
Collected Biannually since 1968, the Civil Rights Data Collection (CRDC) represents the U.S. Department of Education's most substantial effort to understand data related to students' educational opportunities throughout K-12 schooling, particularly for historically marginalized student populations. Due to the COVID-19 pandemic, the Department…
Descriptors: Students with Disabilities, Elementary Secondary Education, Public Schools, Charter Schools
Nancy Montes; Fernanda Luna – UNESCO International Institute for Educational Planning, 2024
This article characterizes and reflects on the possible uses of early warning systems (hereafter, EWS) in the region as effective tools to support educational pathways, whenever they identify risks of dropout, difficulties for the achievement of substantive learning, and the possibility of organizing specific actions. This article was developed in…
Descriptors: Data Collection, Data Use, At Risk Students, Foreign Countries
Chen, Yu – Community College Journal of Research and Practice, 2020
This quantitative study explored the statistical relationship between American Association of Community Colleges (AACC) leadership competencies and data-driven decision making (DDDM) literacy among rural community college leaders in the Midwest. Specifically, the authors examined how AACC community college leadership competencies may predict the…
Descriptors: Community Colleges, Rural Schools, Leadership Qualities, Competence
Amanda Katherine Riske – ProQuest LLC, 2022
This three-article dissertation considers the pedagogical practices for developing statistically literate students and teaching data-driven decision-making with the goal of preparing students for civic engagement and improving student achievement. The first article discusses a critical review of the literature on data-driven decision-making…
Descriptors: Teaching Methods, Data Use, Decision Making, Educational Practices
Lavigne, Alyson L.; Olson, Amy M. – Leadership and Policy in Schools, 2020
The current study explores how principals (n = 568) experience a new teacher evaluation model under Race to the Top. Findings suggest that principals felt the least confident in their ability to identify teacher behaviors associated with student achievement gains and placed the least value on student achievement data. Evaluation experience…
Descriptors: Teacher Evaluation, Value Added Models, Academic Achievement, Accountability
Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks. REL 2020-027
Bruch, Julie; Gellar, Jonathan; Cattell, Lindsay; Hotchkiss, John; Killewald, Phil – Regional Educational Laboratory Mid-Atlantic, 2020
This report provides information for administrators, researchers, and student support staff in local education agencies who are interested in identifying students who are likely to have near-term academic problems such as absenteeism, suspensions, poor grades, and low performance on state tests. The report describes an approach for developing a…
Descriptors: At Risk Students, Data Use, Child Welfare, Predictor Variables