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Dylan Wiliam; Douglas Fisher; Nancy Frey – Corwin, 2024
What if there was a better way to collect and interpret assessment data that could strengthen the link between teaching and learning? "Student Assessment: Better Evidence, Better Decisions, Better Learning" is the innovative guide to show you how it is done and done right. This unique book offers a new assessment model focused on…
Descriptors: Student Evaluation, Data Collection, Evidence Based Practice, Data Use
John Hattie; Douglas Fisher; Nancy Frey; John Taylor Almarode – Corwin, 2024
It may seem obvious, but learning should never be implied or assumed. Learning must be explicit, evaluated and monitored; the impact of teaching on student learning should be visible. But how can we be sure? Armed with years of research that includes more than 2,100 meta-analyses, and 130,000 studies that include more than 300 million…
Descriptors: Evidence Based Practice, Data Collection, Data Use, Educational Quality
Richard Hendra; Johanna Walter; Audrey Yu – MDRC, 2024
Government agencies collect vast amounts of administrative data in their day-to-day activities, primarily for program operations. But the information is less often used as a research tool or fully harnessed for its evidence-building potential. This brief is the fourth in a series of publications from MDRC about the Temporary Assistance for Needy…
Descriptors: Data Collection, Data Use, Evidence Based Practice, Program Administration
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Erica C. Fry; Jessica R. Toste; Beth R. Feuer; Christine A. Espin – Journal of Learning Disabilities, 2024
Data-based decision-making (DBDM) using curriculum-based measurement (CBM) data has demonstrated effectiveness in improving academic achievement for students with or at risk for learning disability. Despite substantial evidence supporting DBDM, its use is not common practice for many educators, even those who regularly collect CBM data. One…
Descriptors: Evidence Based Practice, Decision Making, Curriculum Based Assessment, Learning Disabilities
Fisk, Selena – Solution Tree, 2021
Data--done right--has the power to put schools on the path to true change. Rely on this research-backed resource to help you kickstart, implement, and sustain data-informed school-wide transformation. There are many ways to use student data, and the author's 10 steps offer practical, clear methods for establishing a data team, collecting relevant…
Descriptors: Data Use, Educational Change, Data Collection, Data Analysis
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Mary F. Jones; Julie Dallavis – Journal of Educational Administration, 2024
Purpose: Research shows data-informed leadership matters for school improvement and student achievement, but less is known about what motivates leaders' data use toward such outcomes, particularly in the Catholic school context. Design/methodology/approach: This qualitative interview study uses interview (n = 23) data from a sample of Catholic…
Descriptors: Data Use, Educational Improvement, Catholic Schools, Instructional Leadership
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Ozair H. Naqvi; Aaron M. Wendelboe; Laurence Burnsed; Mike Mannell; Amanda Janitz; Stephanie Natt – Journal of School Nursing, 2025
Recent trends in vaccine hesitancy have brought to light the importance of using accurate school vaccination data. This study evaluated the accuracy of a pilot statewide kindergarten vaccination survey in Oklahoma. School vaccination and exemption data were collected from November 2017 to April 2018 via the Research Electronic Data Capture system.…
Descriptors: State Surveys, Immunization Programs, Accuracy, Data Collection
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Liyanachchi Mahesha Harshani De Silva; María Jesús Rodríguez-Triana; Irene-Angelica Chounta; Gerti Pishtari – Journal of Computing in Higher Education, 2025
With technological advances, institutional stakeholders are considering evidence-based developments such as Curriculum Analytics (CA) to reflect on curriculum and its impact on student learning, dropouts, program quality, and overall educational effectiveness. However, little is known about the CA state of the art in Higher Education Institutions…
Descriptors: Learning Analytics, Curriculum Evaluation, Higher Education, Stakeholders
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Hsiu-Wen Yang; Christine Harradine; Chih-Ing Lim; Douglas H. Clements; Megan Vinh; Julie Sarama – Early Childhood Education Journal, 2025
Given the increased diversity of the population in the United States and the importance of early science, technology, engineering, and mathematics (STEM) learning, it is crucial to identify ways to reduce racial, ethnic, and gender disparities in STEM education. This is particularly important for children with disabilities with intersecting…
Descriptors: Demography, Early Intervention, STEM Education, Equal Education
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Stelmach, Rachel D.; Fitch, Elizabeth; Chen, Molly; Meekins, Meagan; Flueckiger, Rebecca M.; Colaço, Rajeev – American Journal of Evaluation, 2022
Monitoring, evaluation, and research activities generate important data, but they often fail to change policies or programs. In addition, local program staff and partners often feel disconnected from these activities, which undermines their ownership of data and results. To bridge the gaps between monitoring, evaluation, and research and to give…
Descriptors: Evidence Based Practice, Evaluation, Research, Global Approach
Sarah E. Long – ProQuest LLC, 2021
Missing values that fail to be appropriately accounted for may lead to reduced statistical power, biased estimators, reduced representativeness of the sample, and incorrect interpretations and conclusions (Gorelick, 2006). The current study provided an ontological perspective of data manipulation by explaining how statistical results can…
Descriptors: Statistics, Data Use, Student Records, School Holding Power
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Pinar Aksoy; Frank M. Gresham – International Journal of Psychology and Educational Studies, 2024
The preschool years, spanning from birth to age six, are crucial periods for acquiring social-emotional learning (SEL) skills. An effective way to address social-emotional learning deficits is to implement evidence-based intervention programs. The purpose of this article is to review specific evidencebased social-emotional learning intervention…
Descriptors: Social Emotional Learning, Evidence Based Practice, Preschool Children, Intervention
Douglas Fisher; Nancy Frey; Tyler Gilbert; Emily Brokaw; John Taylor Almarode – Corwin, 2025
Instructional coaching has long been a crucial component of professional development in schools. However, without a clear framework, its true potential often goes unrealized. "Coaching for Impact" bridges this gap by providing a research-supported, practical guide that enhances the effectiveness of coaching programs while helping coaches…
Descriptors: Coaching (Performance), Faculty Development, Teacher Effectiveness, Skill Development
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Prinsloo, Paul – British Journal of Educational Technology, 2019
Data--their collection, analysis and use--have always been part of education, used to inform policy, strategy, operations, resource allocation, and, in the past, teaching and learning. Recently, with the emergence of learning analytics, the collection, measurement, analysis and use of student data have become an increasingly important research…
Descriptors: Learning Analytics, Data Collection, Data Analysis, Measurement
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Fawcett, Darcy – set: Research Information for Teachers, 2019
This Assessment News article introduces readers to a statistical approach to making sense of student assessment data in order to help teachers understand whether or not changes in practice have made a difference to learning. It Worked! is the brainchild of Darcy Fawcett, HoD Science at Gisborne Boys' High School, and Across-School Teacher for the…
Descriptors: Data Analysis, Data Use, Evidence Based Practice, Communities of Practice
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