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Marwan, Samiha; Price, Thomas W. – IEEE Transactions on Learning Technologies, 2023
Novice programmers often struggle on assignments, and timely help, such as a hint on what to do next, can help students continue to progress and learn, rather than giving up. However, in large programming classrooms, it is hard for instructors to provide such real-time support for every student. Researchers have, therefore, put tremendous effort…
Descriptors: Data Use, Cues, Programming, Computer Science Education
Carrianne Scheib; Catherine Snyder; Marjori Krebs – Issues in Teacher Education, 2023
This manuscript aims to answer the research question: What data are collected by teacher residency programs and a network of teacher residency programs, and how and why do faculty and NCTR staff use this data to advance both individual programs and the teacher residency model nationally? This paper explores how individual teacher residency…
Descriptors: Teacher Interns, Data Use, Models, Data Collection
Washburn, Erin K.; Bailey, Kathryn; Pierce, Abby; Stewart, Cathleen; Hawley, JoAnn; Blackman, Jennifer; Fenty, Nicole – Journal of Research in Reading, 2022
The purpose of this manuscript is to share the work of a collaboration between professional development providers and university faculty as they created, implemented and refined a professional development series focused on supporting primary teachers' use of data-based decision making in reading. Using a formative and design-based approach,…
Descriptors: College Faculty, Primary Education, Early Childhood Teachers, Cooperation
O'Brien, Shivaun; McNamara, Gerry; O'Hara, Joe; Brown, Martin – Professional Development in Education, 2022
This study explores the development and implementation of a professional development intervention for teachers in data-use as part of a whole school self-evaluation (SSE) process. A review of literature relating to professional development in general and data-use in particular informs the key features of the intervention which is tested in five…
Descriptors: Faculty Development, Program Development, Program Implementation, Data Use
Alicia J. Lozano; Monica L. Ahrens; Genevieve R. Lyons; Jennie Z. Ma; Sarah J. Ratcliffe; Alexandra L. Hanlon – Journal of STEM Education: Innovations and Research, 2024
Background: The field of collaborative biostatistics plays a critical role in translating scientific discoveries into practical applications by providing sound statistical analysis, ensuring data integrity, and facilitating interdisciplinary collaboration in translational science and decision-making in healthcare. The role of a collaborative…
Descriptors: Undergraduate Students, Health Education, Statistics Education, Interdisciplinary Approach
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
Dalporto, Hannah – MDRC, 2019
Career and technical education (CTE) programs (programs that teach students specific workplace skills aligned with the labor market) may track data for lots of different reasons: to comply with funding requirements, to manage their services and continually improve, to measure their progress toward their goals, and to evaluate whether they are…
Descriptors: Vocational Education, Data Use, Program Development, Data Collection
Gamse, Beth C.; Spielberger, Julie; Axelrod, Jennifer; Spain, Angeline – Chapin Hall at the University of Chicago, 2019
Afterschool programs can offer enriching opportunities, homework help and a safe environment. To ensure that these programs are cohesive, high-quality and widely available, many cities have designed community-wide systems to coordinate the various afterschool programs offered by different providers. Having a way to collect and share reliable data…
Descriptors: After School Programs, Low Income Students, At Risk Students, Youth Programs

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