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Thornton, Nia – Learning Professional, 2022
When Nia Thornton became an assistant principal at Central Gwinnett High School in Georgia, one of her responsibilities was to lead professional learning for the school staff. She and the school leadership team were excited engage the staff in meaningful, day-to-day learning. They knew that their work needed to be rooted in current research and…
Descriptors: Academic Standards, Educational Environment, High Schools, Data Use
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Cormack, Andrew; Reeve, David – Journal of Learning Analytics, 2022
With student and staff wellbeing a growing concern, several authors have asked whether existing data might help institutions provide better support. By analogy with the established field of Learning Analytics, this might involve identifying causes of stress, improving access to information for those who need it, suggesting options, providing rapid…
Descriptors: Foreign Countries, Well Being, Data Use, Ethics
Chaparro, Erin A.; Horner, Rob; Algozzine, Bob; Daily, Jessica; Nese, Rhonda N. T. – Center on Positive Behavioral Interventions and Supports, 2022
With multiple sources of information available, knowing how to use data efficiently and effectively with limited resources is critical to the successful implementation of school-wide, classroom, and individual interventions. In this practice guide, we describe a scientifically-based approach for data-based decision-making called Team-Initiated…
Descriptors: Data Use, Problem Solving, Participative Decision Making, Positive Behavior Supports
Apryl L. Poch; Abigail A. Allen; Pyung-Gang Jung; Erica S. Lembke; Kristen L. McMaster – Grantee Submission, 2022
Writing is a critical academic and life skill, but many school-age children struggle with the complexity of written expression. Given the importance of writing, there is a clear need for a systematic approach to identifying and supporting struggling writers, including writers with learning and emotional disabilities. One such approach is known as…
Descriptors: Data Use, Decision Making, Writing Instruction, Writing Difficulties
Apryl L. Poch; Abigail A. Allen; Pyung-Gang Jung; Erica S. Lembke; Kristen L. McMaster – Intervention in School and Clinic, 2022
Writing is a critical academic and life skill, but many school-age children struggle with the complexity of written expression. Given the importance of writing, there is a clear need for a systematic approach to identifying and supporting struggling writers, including writers with learning and emotional disabilities. One such approach is known as…
Descriptors: Data Use, Decision Making, Writing Instruction, Writing Difficulties
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Samantha Fu; Charles Davis; Jesse Rothstein; Aparna Ramesh; Evan White – Grantee Submission, 2022
Linking data together can be a powerful way for governments and researchers alike to tackle vexing public policy research problems. However, for researchers, finding ways to link data directly between two departments can often be more challenging than even obtaining the data in the first place. Even when a researcher develops the necessary…
Descriptors: Data Use, Research Methodology, Researchers, Privacy
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Louise Shaxson; Rick Hood; Annette Boaz; Brian Head – Evidence & Policy: A Journal of Research, Debate and Practice, 2025
Background: Knowledge brokering plays an important role in the evidence-to-policy system, but little is known about whether and how it occurs within government departments. Aims and objectives: Using empirical evidence from one UK government department, this article analyses how knowledge brokering takes place inside the policy making process and…
Descriptors: Knowledge Management, Public Policy, Policy Formation, Evidence
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Bart Rienties; John Domingue; Subby Duttaroy; Christothea Herodotou; Felipe Tessarolo; Denise Whitelock – Distance Education, 2025
With the release of Generative AI systems such as ChatGPT, an increasing interest in using Artificial Intelligence (AI) has been observed across domains, including higher education. While emerging statistics show the popularity of using AI amongst undergraduate students, little is yet known about students' perceptions regarding AI including…
Descriptors: Distance Education, Student Attitudes, Artificial Intelligence, Technology Uses in Education
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Alexander John Karran; Patrick Charland; Joé Trempe-Martineau; Ana Ortiz de Guinea Lopez de Arana; Anne-Marie Lesage; Sylvain Sénécal; Pierre-Majorique Léger – npj Science of Learning, 2025
Recognising a need to investigate the concerns and barriers to the acceptance of artificial intelligence (AI) in education, this study explores the acceptability of different AI applications in education from a multi-stakeholder perspective, including students, teachers, and parents. Acknowledging the transformative potential of AI, it addresses…
Descriptors: Stakeholders, Artificial Intelligence, Technology Uses in Education, Student Attitudes
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Ling Wang; Guochu Liang – International Journal of Web-Based Learning and Teaching Technologies, 2025
The rapid development of online education has underscored the necessity of data-driven teaching functions for enhancing teaching quality and efficiency. This paper investigates the role of data-driven approaches in online education, with a particular focus on the practical application of data for evaluating learning outcomes. It highlights the…
Descriptors: Data Use, Educational Quality, Online Courses, Distance Education
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Darcy E. Furlong; Anna Romero; Kirstin Helström; Jessica Nina Lester; Sebastian Karcher – International Journal of Research & Method in Education, 2025
In this paper, we report findings from a multiple case study that examined how instructors used shared data when teaching qualitative data analysis. More specifically, we explored both instructor and student experiences in two graduate-level qualitative methods courses located at U.S. universities. Drawing upon thematic analysis and the theory of…
Descriptors: Qualitative Research, Data Analysis, Data Use, Shared Resources and Services
Michael DeArmond; Dan Goldhaber; Kaori Strunk – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2025
States often lack timely, specific information about where teachers are needed the most. This information gap is compounded by the way public schools typically pay teachers--based on experience and academic credentials rather than supply and demand conditions--which sends weak signals to potential teachers about which positions are most in-demand…
Descriptors: Data Use, Occupational Information, Teacher Supply and Demand, Data Collection
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Amanda L. Witte; Lisa L. Knoche; Susan M. Sheridan; Natalie Koziol – Grantee Submission, 2025
The use of data to inform instruction has been linked to improved student outcomes, early identification of intervention needs, and teacher decision-making and efficacy. Additionally, data are used as a means of accountability within educational settings. However, little is known about data use practices among early grades teachers. The purpose of…
Descriptors: Early Childhood Teachers, Elementary School Teachers, Preschool Teachers, Data Use
Virginia A. Ressa; Kailey Bunch-Woodson; Eliana Tardio Hurtado; Miki Imura; Kathy Strunk; Sheryl S. Lazarus; Andrew R. Hinkle; Jessica Arnold; Travis Peterson – National Center on Educational Outcomes, 2025
The purpose of this discussion guide is to support SEAs and local education agencies (LEAs) in states with assessment-related State-Identified Measurable Results (SiMRs) in communicating assessment data in ways that are useful to stakeholders, and in improving data literacy among stakeholders so they can meaningfully participate in key State…
Descriptors: Information Dissemination, Data Use, Stakeholders, Information Literacy
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Amanda L. Witte; Lisa L. Knoche; Susan M. Sheridan; Natalie Koziol – Early Childhood Education Journal, 2025
The use of data to inform instruction has been linked to improved student outcomes, early identification of intervention needs, and teacher decision-making and efficacy. Additionally, data are used as a means of accountability within educational settings. However, little is known about data use practices among early grades teachers. The purpose of…
Descriptors: Early Childhood Teachers, Elementary School Teachers, Preschool Teachers, Data Use
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