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Jessica Arnold; Julie Webb – WestEd, 2024
While there are many different types of education data, policymakers and education leaders often place heavy emphasis on data from large-scale quantitative measures, such as annual state assessments. But data from these sources alone do not provide a complete picture of learning and are often not well suited to informing improvements at the local…
Descriptors: Data Use, Measurement, Educational Improvement, Outcomes of Education
Elizabeth H. Connors; Amber W. Childs; Susan Douglas; Amanda Jensen-Doss – Administration and Policy in Mental Health and Mental Health Services Research, 2025
Measurement-based care (MBC) research and practice, including clinical workflows and systems to support MBC, are grounded in adult-serving mental health systems. MBC research evidence is building in child and adolescent services, but MBC practice is inherently more complex due to identified client age, the family system and the need to involve…
Descriptors: Psychotherapy, Data, Data Use, Decision Making
Juan D’Brot; W. Chris Brandt – Region 5 Comprehensive Center, 2024
In today's educational landscape, state and local educational agencies (SEAs and LEAs) often experience challenges connecting large-scale accountability data with actual school improvement initiatives. These challenges tend to be rooted in incoherent design and use of data systems for continuous improvement. As we aim to support SEAs in…
Descriptors: Educational Improvement, Data Collection, State Departments of Education, School Districts
Hewitt, Rachel – Higher Education Policy Institute, 2019
In this new Policy Note, Rachel Hewitt, HEPI's Director of Policy and Advocacy, highlights the need to distinguish between mental health and well-being and calls for more comprehensive data to be made available on the well-being of all those work and study at universities. Key points: (1) The conflation of mental health and well-being is not…
Descriptors: Well Being, Higher Education, Mental Health, Data Collection
Raudonyte, Ieva – UNESCO International Institute for Educational Planning, 2021
Large-scale learning assessments can be used to generate performance and contextual data on student learning outcomes. They can be national, regional, or international; school based or household based. The UNESCO International Institute for Educational Planning (IIEP-UNESCO) has conducted a qualitative study to explore both how and why learning…
Descriptors: Foreign Countries, Measurement, Data Use, Educational Planning
Takahashi, Sola; White, Melissa; Donahue, Corey – WestEd, 2019
This brief offers lessons learned from California State University teacher preparation programs engaged in using data to inform improvement efforts. The authors consider teacher preparation programs as systems that can undergo continuous, data-driven improvement through an improvement science approach. Teacher preparation programs typically have…
Descriptors: Teacher Education Programs, Program Improvement, Partnerships in Education, Feedback (Response)
Oren Pizmony-Levy; James Harvey; William H. Schmidt; Richard Noonan; Laura Engel; Michael J. Feuer; Henry Braun; Carla Santorno; Iris C. Rotberg; Paul Ash; Madhabi Chatterji; Judith Torney-Purta – Quality Assurance in Education: An International Perspective, 2014
Purpose: This paper presents a moderated discussion on popular misconceptions, benefits and limitations of International Large-Scale Assessment (ILSA) programs, clarifying how ILSA results could be more appropriately interpreted and used in public policy contexts in the USA and elsewhere in the world. Design/methodology/approach: To bring key…
Descriptors: Misconceptions, International Assessment, Evaluation Methods, Measurement

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