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Yaosheng Lou; Kimberly F. Colvin – Discover Education, 2025
Predicting student performance has been a critical focus of educational research. With an effective predictive model, schools can identify potentially at-risk students and implement timely interventions to support student success. Recent developments in educational data mining (EDM) have introduced several machine learning techniques that can…
Descriptors: Educational Research, Data Collection, Performance, Prediction
Ecem Karlidag-Dennis; Michael Maher; Claire Paterson-Young; Melis Cin; Toa Giroletti – Global Studies of Childhood, 2025
This paper critically examines the use of the photostories method adapted from Photovoice in research with children, exploring its effectiveness in enabling decision-making and influencing change while addressing potential challenges. Specifically, it investigates the extent to which the photostories method enables children to make decisions and…
Descriptors: Foreign Countries, Participatory Research, Research Methodology, Children
National Council on Teacher Quality, 2025
Despite enacting well-intentioned policies to improve teacher recruitment and retention, many states continue to face significant staffing challenges, particularly in high-need schools and hard-to-staff subjects such as math, science, and special education. Two years ago, the National Council on Teacher Quality (NCTQ) set out to explore the…
Descriptors: Teacher Shortage, Teacher Recruitment, Data Collection, Information Management
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
Elizabeth L. Leone – New England College Journal of Applied Educational Research, 2025
Multilingual learners (MLL) are a large and growing group of disadvantaged students in the United States public education system who come from refugee and immigrant backgrounds and require linguistic instruction, in addition to content instruction. MLLs are entitled to language instruction, and school districts receive additional funding for these…
Descriptors: Multilingualism, Bilingual Education, Bilingual Students, Instructional Materials
Chelsea McCracken; Ruby MacDougall – ITHAKA S+R, 2025
Research data services--support offerings which enable and improve data-intensive research--have garnered sustained attention from library research support service providers for nearly two decades. Libraries have played a leading role in developing research data services, and on most university campuses they provide the largest and most diverse…
Descriptors: Researchers, Data Analysis, Research Methodology, Universities