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Sarah S. Rowe; Sara E. Witmer; Ornela Shkreli – Contemporary School Psychology, 2024
Curriculum-based measurement in reading (CBM-R) is a commonly used tool for universal screening and progress monitoring in K-12 education and is one that can add value to decision-making. However, the social validity of this measure among teachers is often questioned. Reasons some teachers have traditionally opposed the use of CBM-R have included…
Descriptors: Elementary School Teachers, Curriculum Based Assessment, Reading Tests, Teacher Attitudes
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Maria de Lourdes Viloria; Cynthia Gallardo; Ricardo Lozano; Lina de la Garza – Journal of Cases in Educational Leadership, 2025
This study focuses on the culturally responsive leadership practices of a South Texas school principal. Texas ranks second out of 10 states with the highest emergent bilingual enrollment. Culturally responsive leadership integrates a dynamic view of the socio-political and cultural contexts in a school setting. As the student population becomes…
Descriptors: Bilingual Students, Principals, Decision Making, Data Use
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Schelling, Natalie; Mason, Lance E. – Education and Culture, 2021
This paper considers elementary teachers' perceptions of data-driven decision making (DDDM) through the lens of Dewey's science of education. Dewey argues that educational science can be used to improve teaching and learning, but it must be flexible, attendant to multiple dimensions of growth, and grounded in real classroom experiences with…
Descriptors: Data Use, Decision Making, Progressive Education, Science Education
Data Quality Campaign, 2021
Data reflects a series of decisions made by people--and those decisions affect the story that data tells, what it captures, and how it can and should be used to inform decision-making. Because of this, mistrust in data is often the result of incomplete information and a lack of context. This resource breaks down what it means to build trust in…
Descriptors: Data Use, Data Collection, Data Analysis, Bias
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Arnold, Jessica; Crane, Eric W. – Region 15 Comprehensive Center, 2021
In the summer and fall months of a "typical" year, many education leaders would receive reports of student performance on annual summative state assessments administered each spring. Using these data, administrators begin a process of sense-making -- identifying areas that need support and integrating new information offered by the data…
Descriptors: Decision Making, Data Use, Student Evaluation, COVID-19
Lori Ann Tucker – ProQuest LLC, 2021
This mixed-methods study examined K-5 teachers' perceptions of using data to inform their instruction, uncovered factors that affect their capacity for understanding data, and described how both of these factors may relate to school improvement. The study outlined factors that supported or impeded teachers' use of data when making instructional…
Descriptors: Teacher Attitudes, Data Use, Decision Making, Elementary School Teachers
Brooks, Maneka Deanna; Frankel, Katherine K.; Learned, Julie E. – Phi Delta Kappan, 2022
Stand-alone reading intervention courses, or reading classes, are designed to facilitate the literacy development of adolescents who have been deemed "struggling" readers. However, the existence of such courses does not mean that these goals are realized. Decades of qualitative research on youth perspectives and experiences have…
Descriptors: Reading Improvement, Intervention, Program Effectiveness, Educational Policy
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West, Paige; Paige, Frederick; Lee, Walter; Watts, Natasha; Scales, Glenda – Journal of Civil Engineering Education, 2022
The expansion of online learning in higher education has both contributed to researchers exploring innovative ways to develop learning environments and created challenges in identifying student interactions with course material. Learning analytics is an emerging field that can identify student interactions and help make data-informed course design…
Descriptors: Learning Analytics, Student Attitudes, Electronic Learning, Construction Management
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Meholick, Sarah; Honey, Rose; LaTurner, Jason – National Center for Education Statistics, 2023
Statewide longitudinal data systems (SLDSs) can enable researchers, policymakers, and practitioners to identify and understand important relationships and trends across the education-to-workforce continuum. A well-developed SLDS can increase state and territory governments' ability to establish more informed and equitable policies, enable agency…
Descriptors: Longitudinal Studies, State Programs, State Policy, Data Collection
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Schelling, Natalie; Rubenstein, Lisa DaVia – Assessment in Education: Principles, Policy & Practice, 2023
The purpose of this mixed-methods study is to examine the outcomes of assessment training for elementary teachers. Only 56% of the surveyed teachers (n = 283) had assessment training in their university courses, compared to 84% that received in-service training. The quantitative results indicate that frequency of assessment training is positively…
Descriptors: Preservice Teacher Education, Inservice Teacher Education, Assessment Literacy, Elementary School Teachers
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Samaranayake, Sobitha; Gunawardena, Athula D. A.; Meyer, Robert R. – Athens Journal of Education, 2023
Many students in the Unites States enter college without having decided on a focus for their studies, and thus are faced with choosing from a large number of potential majors and associated very complex sets of degree requirements which can include many courses in other areas of study. Academic advisors use academic planning tools to help students…
Descriptors: College Students, Degree Requirements, Academic Degrees, Decision Support Systems
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Bird, Erin Bridges; Ballard, Heidi L.; Harte, Margaret – Instructional Science: An International Journal of the Learning Sciences, 2023
Youth-focused Community and Citizen Science (CCS) projects are contexts in which youth can contribute to the entire "data lifecycle"--from data-collection to decision-making with their scientific findings. But data alone does not contain the answers for what action to take and how. Using the educational context of an afterschool CCS bird…
Descriptors: Data Use, Decision Making, Elementary School Students, Educational Change
Colorado Department of Higher Education, 2023
Colorado has led the nation in supporting the success of all Coloradans, enacting bold policies, and continuing to build a Colorado for all. These efforts have all been informed by robust stakeholder engagement paired with data analysis. Various initiatives over the years have improved the state's ability to use data to inform these goals. With…
Descriptors: Data Analysis, Decision Making, Data Use, Career Pathways
Marissa J. Filderman; Clark McKown; Pamela Bailey; Gregory J. Benner; Keith Smolkowski – Beyond Behavior, 2023
The collection of student data through screening and progress monitoring of social and emotional learning (SEL) skills is just as important as the implementation of curriculum and practices. Monitoring skill acquisition allows teachers to identify effective practices, provide intervention, and intensify support for students who need it. In this…
Descriptors: Elementary School Students, Social Emotional Learning, Skill Development, Progress Monitoring
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Rany Sam; Khorn Sok; Morin Tieng; Hak Yoeng; Sarith Chiv; Sovannpitou Thay; Saing Saorann – European Journal of Educational Management, 2025
This study examines the characteristics, challenges, and strategies of school leadership in Cambodian high schools, with a focus on leadership in resource-constrained settings. Using a qualitative case study approach, the research investigates how principals in six northwestern provinces implement leadership practices to improve educational…
Descriptors: Foreign Countries, Principals, High Schools, Leadership Styles
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