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Penuel, William R.; Farrell, Caitliin C.; Daniel, Jula – Teachers College Record, 2020
Background/Context: Research on data and evidence use suggest that productive use depends on interactive processes, including sustained interactions between educators and researchers. Recent research on research-practice partnerships (RPPs) has examined conditions under which these sustained collaborations support evidence use. Findings from these…
Descriptors: Data Use, Dropout Prevention, Educational Research, Partnerships in Education
Parham, Alfred; Adair, Angela C.; Reames, Ellen H. – Alabama Journal of Educational Leadership, 2020
Many school leaders who sought to enculturate distributive leadership and shared decision-making within their schools/school districts may not have adequate data tools that would encourage teachers and educational leaders to actively participate during times of decision-making. School organizations may struggle in this area and could benefit from…
Descriptors: Data Use, Leadership, Participative Decision Making, Principals
Grabarek, Jana; Kallemeyn, Leanne M. – Teachers College Record, 2020
Background/Context: The importance attached to practicing data use is evident in its inclusion in federal law, competitive grant programs, state teaching license requirements, and professional development (PD) workshops around the world. Yet, practitioners and scholars have identified misconceptions clouding data use practice, questioned its…
Descriptors: Data Use, Academic Achievement, Educational Improvement, Literature Reviews
Prinsloo, Paul – Teaching in Higher Education, 2020
'Data as technology' has always been, and continues to be an essential part of the structuring of South African society and education, during and post-colonialism and post-apartheid. In the reconfiguration of South African education post-apartheid, student data constitutes a data frontier as un-mapped, under-utilised and ready for the picking.…
Descriptors: Foreign Countries, Higher Education, Data Use, Neoliberalism
Owen, V. Elizabeth; Baker, Ryan S. – Technology, Knowledge and Learning, 2020
As a digital learning medium, serious games can be powerful, immersive educational vehicles and provide large data streams for understanding player behavior. Educational data mining and learning analytics can effectively leverage big data in this context to heighten insight into student trajectories and behavior profiles. In application of these…
Descriptors: Educational Games, Video Games, Decision Making, Prediction
Kane, Maggie; Lin, Van-Kim – Early Childhood Data Collaborative, 2020
Home visiting is an important component of the early childhood (EC) landscape, but home visiting data are often not part of the larger early childhood data integration efforts that states undertake. Building support for home visiting data integration and coordinating efforts across sectors, systems, and programs require the involvement of a wide…
Descriptors: Stakeholders, Home Visits, Data Use, Data Collection
Kathryn A. Larin – US Government Accountability Office, 2025
The U.S. Department of Agriculture (USDA) and the Department of Education have taken some steps to connect college students with Supplemental Nutrition Assistance Program (SNAP) benefits to help them pay for food, but gaps in planning and execution remain. Effective July 2024, a new law gave Education authority to share students' Free Application…
Descriptors: Nutrition, Federal Programs, Welfare Services, College Students
Randy Weber – Strategic Enrollment Management Quarterly, 2025
This guide describes how community college presidents can embed strategic enrollment management (SEM) into mission fulfillment. It emphasizes the importance of setting a vision, ensuring adequate resources, and fostering collaboration. By leveraging data-driven strategies and continuous improvement, colleges can enhance student recruitment,…
Descriptors: Community Colleges, College Presidents, Enrollment Management, Strategic Planning
Maria Sargent – Brookes Publishing Company, 2025
How do young children learn, and what do educators need to know and do to teach them? Covering the full birth-8 early childhood age range, this introductory text delivers up-to-date answers through a unique lens: a deep focus on the neurological foundations of developmentally appropriate practices. Preservice and inservice educators will explore…
Descriptors: Young Children, Developmentally Appropriate Practices, Neurology, Child Development
Student Mobility Data Working Group – National Forum on Education Statistics, 2025
This guide provides information and best practices that will help state education agencies (SEAs) and local education agencies (LEAs) manage data related to students who frequently change schools, with a focus on actions to minimize student learning disruptions and allow agencies to provide support for those particular students. This document…
Descriptors: State Departments of Education, School Districts, Best Practices, Student Mobility
Jennifer Thomsen – Education Commission of the States, 2025
The following case studies explore how emerging and established Statewide Longitudinal Data Systems have used the Education-to-Workforce Indicator Framework (E-W Framework) to support their data system efforts. Developed by Mathematica in partnership with the Gates Foundation, the framework offers guidance on how states can use data to…
Descriptors: Data Use, Databases, Education Work Relationship, Database Management Systems
Jonsdottir, Anna H.; Lentin, Jamie; Calian, Violeta; Hafsteinsson, Eggert K.; Stefansson, Gunnar – Teaching Statistics: An International Journal for Teachers, 2021
The tutor-web is an open-source learning environment designed to be used for teaching mathematics and statistics. The system offers thousands of exercises at high school and university level, and has been used for a decade to teach introductory statistics courses with good results. A new component has recently been added to the tutor-web so that…
Descriptors: Data Use, Statistics Education, Web Based Instruction, Educational Environment
Prescott, Brian T. – Change: The Magazine of Higher Learning, 2021
A "Cone of Uncertainty" has become ubiquitous in hurricane forecasting, encompassing the likeliest possible path that a storm might take as it approaches landfall. These forecasts are crucial because they help government agencies at all levels prepare even in these far-from-certain future conditions. Although individual institutions have…
Descriptors: Educational Planning, COVID-19, Pandemics, Decision Making
Courtney, Matthew B. – International Journal of Education Policy and Leadership, 2021
Exploratory data analysis (EDA) is an iterative, open-ended data analysis procedure that allows practitioners to examine data without pre-conceived notions to advise improvement processes and make informed decisions. Education is a data-rich field that is primed for a transition into a deeper, more purposeful use of data. This article introduces…
Descriptors: Data Analysis, Data Use, Decision Making, Educational Improvement
Tetzlaff, Leonard; Schmiedek, Florian; Brod, Garvin – Educational Psychology Review, 2021
Personalized education--the systematic adaptation of instruction to individual learners--has been a long-striven goal. We review research on personalized education that has been conducted in the laboratory, in the classroom, and in digital learning environments. Across all learning environments, we find that personalization is most successful when…
Descriptors: Individualized Instruction, Instructional Effectiveness, Instructional Design, Student Characteristics

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