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Data Quality Campaign, 2024
Recent data from statewide assessments, scores on the National Assessment of Educational Progress (NAEP), and college remediation needs show that an increasing number of K-12 students are not performing at grade level. As schools look to support these students' learning, some districts are turning to a proven strategy for identifying the students…
Descriptors: National Competency Tests, Academic Achievement, Elementary Secondary Education, At Risk Students
Duncan Culbreth; Rebekah Davis; Cigdem Meral; Florence Martin; Weichao Wang; Sejal Foxx – TechTrends: Linking Research and Practice to Improve Learning, 2025
Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…
Descriptors: High School Students, COVID-19, Pandemics, Progress Monitoring
Blumenthal, Stefan; Blumenthal, Yvonne; Lembke, Erica S.; Powell, Sarah R.; Schultze-Petzold, Patricia; Thomas, Elizabeth R. – Journal of Learning Disabilities, 2021
The purpose of this explorative study was to examine the use and understanding of key components of data-based decision making by educators in two countries--Germany and the United States. Educators responded to a survey that asked about data use and characteristics related to data-based decision making (DBDM). Results suggest educators in both…
Descriptors: Teacher Attitudes, Data Use, Decision Making, Progress Monitoring
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
Emma Shanahan; Seohyeon Choi; Jechun An; Bess Casey-Wilke; Seyma Birinci; Caroline Roberts; Emily Reno – Grantee Submission, 2025
Although data-based individualization (DBI) has positive effects on learning outcomes for students with learning difficulties, this framework can be difficult for teachers to implement due to its complexity and contextual barriers. The first aim of this synthesis was to investigate the effects of ongoing professional development (PD) support for…
Descriptors: Data Use, Individualized Instruction, Learning Problems, Students with Disabilities
Emma Shanahan; Seohyeon Choi; Jechun An; Bess Casey-Wilke; Seyma Birinci; Caroline Roberts; Emily Reno – Journal of Learning Disabilities, 2025
Although data-based individualization (DBI) has positive effects on learning outcomes for students with learning difficulties, this framework can be difficult for teachers to implement due to its complexity and contextual barriers. The first aim of this synthesis was to investigate the effects of ongoing professional development (PD) support for…
Descriptors: Data Use, Individualized Instruction, Learning Problems, Students with Disabilities
Hartong, Sigrid – Critical Studies in Education, 2021
This contribution takes a critical perspective on digital school performance platforms (SPP), which today play a key role in US state education monitoring and accountability. Using examples from two different US state education agencies, I provide an analytical disentanglement of some key dimensions of such platforms' enactment and materiality. I…
Descriptors: State Departments of Education, Technology Uses in Education, Performance, Accountability
Massachusetts Department of Elementary and Secondary Education, 2017
The Massachusetts Department of Elementary and Secondary Education (ESE) is focused on supporting educators in the use of data; to this end, ESE developed an Early Warning Indicator System (EWIS) that rolls many student data variables into a single indicator that provides educators with information about which students are at low, moderate, or…
Descriptors: Dropout Prevention, Elementary Secondary Education, Data Use, Public Schools
Palmer, Dusty L.; Almager, Irma L.; Valle, Fernando; Gabro, Cathy; deLeon, Vanessa – School Leadership Review, 2019
This qualitative content analysis study examined the framing of equity audits and the Texas Accountability Intervention System (TAIS) plans implemented by aspiring principal fellows to develop a support system for marginalized students. The purpose of this study was to demonstrate how a principal preparation program leverages equity-driven data to…
Descriptors: Equal Education, Audits (Verification), Disadvantaged, English Language Learners
Gesel, Samantha A.; LeJeune, Lauren M.; Chow, Jason C.; Sinclair, Anne C.; Lemons, Christopher J. – Journal of Learning Disabilities, 2021
The purpose of this review was to synthesize research on the effect of professional development (PD) targeting data-based decision-making processes on teachers' knowledge, skills, and self-efficacy related to curriculum-based measurement (CBM) and data-based decision-making (DBDM). To be eligible for this review, studies had to: (1) be published…
Descriptors: Professional Development, Inservice Teacher Education, Preservice Teacher Education, Elementary Secondary Education
State Responsibilities and Opportunities for School Improvement under the Every Student Succeeds Act
Riley, Derek L.; Meredith, Julie; Butler, Alisha N. – Council of Chief State School Officers, 2019
States across the country are urgently building and initiating systems to improve schools, including those identified as low-performing under the Every Student Succeeds Act (ESSA). With their state ESSA plans approved by the U.S. Department of Education in 2017-2018, state education agencies (SEAs) are moving forward to carry out the vision,…
Descriptors: State Departments of Education, Government Role, Program Implementation, Educational Improvement
Hunter, Gerald P.; Williamson, Stephanie; Wilks, Asa; Hanley, Janet M.; Stecher, Brian M. – RAND Corporation, 2020
The Intensive Partnerships for Effective Teaching initiative, which was funded by the Bill & Melinda Gates Foundation, was a multiyear effort to improve student outcomes--particularly high school graduation and college attendance among low-income minority students--by increasing student access to effective teaching. The RAND Corporation worked…
Descriptors: Data Collection, Data Use, Instructional Effectiveness, Teacher Effectiveness
Auspos, Patricia – Annie E. Casey Foundation, 2017
Across the country, collaborative efforts are bringing together a variety of organizations that work with school-age children and youth, including out-of-school time programs and nonprofit service agencies, to improve educational outcomes in their communities. However, linking activities to outcomes can be a particular problem for nonprofit…
Descriptors: After School Programs, Attendance, Academic Achievement, Educational Improvement
Kenyatta, Candace – Region 8 Comprehensive Center, 2021
The Diversifying the Education Profession Ohio Taskforce consists of aspiring teachers, K-12 educators, human resources personnel, educator preparation program representatives, community members, State Board of Education representation, and staff members from the Ohio Department of Education and Ohio Department of Higher Education and convened to…
Descriptors: Student Needs, Student Diversity, Elementary Secondary Education, Faculty Development
Marsh, Julie A.; Pane, John F.; Hamilton, Laura S. – RAND Corporation, 2006
Data-driven decision making (DDDM), applied to student achievement testing data, is a central focus of many school and district reform efforts, in part because of federal and state test-based accountability policies. This paper uses RAND research to show how schools and districts are analyzing achievement test results and other types of data to…
Descriptors: Data Use, Decision Making, Data Analysis, Educational Improvement