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Merryn D. Constable; Francis Xiatian Zhang; Tony Conner; Daniel Monk; Jason Rajsic; Claire Ford; Laura Jillian Park; Alan Platt; Debra Porteous; Lawrence Grierson; Hubert P. H. Shum – Advances in Health Sciences Education, 2025
Health professional education stands to gain substantially from collective efforts toward building video databases of skill performances in both real and simulated settings. An accessible resource of videos that demonstrate an array of performances -- both good and bad -- provides an opportunity for interdisciplinary research collaborations that…
Descriptors: Data Use, Artificial Intelligence, First Aid, Ethics
Sophie Zamarripa; Hailly T. N. Korman; Paul Beach; Libby Schwaner; Max Marchitello – Bellwether, 2025
"Court-involved" students -- those who are incarcerated, on probation, in foster care, in residential treatment facilities, or have concurrent adjudications -- retain their full educational rights under federal and state laws. They also face many educational challenges, as they are often highly mobile, have concentrated needs, and may…
Descriptors: Data Collection, Data Use, Information Dissemination, Juvenile Justice
Timothy A. Drake – Leadership and Policy in Schools, 2024
In this review, I examined the last two decades of research on data use in education to outline the ways in which principals used data to inform their own leadership practices. I found three themes: first, student achievement data were the most widespread form of data that principals used; second, principals' work has been reshaped by teacher…
Descriptors: Principals, Data Use, Academic Achievement, Teacher Evaluation
National Assessment of Educational Progress (NAEP), 2024
The National Assessment of Educational Progress (NAEP) is an integral measure of academic progress across the nation and over time. It is the largest nationally representative and continuing assessment of what our nation's students know and can do in various subjects, such as civics, mathematics, reading, and U.S. history. The program also…
Descriptors: National Competency Tests, Preadolescents, Adolescents, Mathematics Achievement
Kylie E. Hunter; Mason Aberoumand; Sol Libesman; James X. Sotiropoulos; Jonathan G. Williams; Wentao Li; Jannik Aagerup; Ben W. Mol; Rui Wang; Angie Barba; Nipun Shrestha; Angela C. Webster; Anna Lene Seidler – Research Synthesis Methods, 2024
Increasing integrity concerns in medical research have prompted the development of tools to detect untrustworthy studies. Existing tools primarily assess published aggregate data (AD), though scrutiny of individual participant data (IPD) is often required to detect trustworthiness issues. Thus, we developed the IPD Integrity Tool for detecting…
Descriptors: Integrity, Randomized Controlled Trials, Data Use, Individual Characteristics
Atezaz Ahmad; Jan Schneider; Dai Griffiths; Daniel Biedermann; Daniel Schiffner; Wolfgang Greller; Hendrik Drachsler – Journal of Computer Assisted Learning, 2024
Background: During the past decade, the increasingly heterogeneous field of learning analytics has been critiqued for an over-emphasis on data-driven approaches at the expense of paying attention to learning designs. Method and objective: In response to this critique, we investigated the role of learning design in learning analytics through a…
Descriptors: Instructional Design, Learning Analytics, Data Use, Literature Reviews
Maria Llambrich; Pau Satorra; Eudald Correig; Josep Gumà; Jesús Brezmes; Cristian Tebé; Raquel Cumeras – Research Synthesis Methods, 2024
Meta-analysis is a useful tool in clinical research, as it combines the results of multiple clinical studies to improve precision when answering a particular scientific question. While there has been a substantial increase in publications using meta-analysis in various clinical research topics, the number of published meta-analyses in metabolomics…
Descriptors: Meta Analysis, Programming Languages, Information Technology, Computer Oriented Programs
Katherine L. Robershaw; Min Xiao; Baron G. Wolf – Research Management Review, 2024
As data-informed decision-making continues to evolve across multiple disciplines in higher education institutions, and as the role of research administration continues to expand from proposal submissions, compliance, and managing research and development expenditures to a profession with an active partnership with investigators to support…
Descriptors: Literature Reviews, Data Analysis, Research Administration, Institutional Research
Paul Prinsloo; Mohammad Khalil; Sharon Slade – Journal of Computing in Higher Education, 2024
Central to the institutionalization of learning analytics is the need to understand and improve student learning. Frameworks guiding the implementation of learning analytics flow from and perpetuate specific understandings of learning. Crucially, they also provide insights into how learning analytics acknowledges and positions itself as entangled…
Descriptors: Learning Analytics, Data, Ecology, Models
Sarah Klevan; Melanie Leung-Gagné; Tomoko M. Nakajima – Learning Policy Institute, 2024
Across the United States, there is an increased interest in improving school climate, reflecting a deepening understanding of the foundational role that school climate can play in supporting students' well-being, learning, and development. School climate is constructed from norms, expectations, and interpersonal relationships that come together to…
Descriptors: Educational Environment, Middle Schools, School Districts, Data Use
Golnaz Arastoopour Irgens; Ibrahim Oluwajoba Adisa; Deepika Sistla; Tolulope Famaye; Cinamon Bailey; Atefeh Behboudi; Adenike Omalara Adefisayo – International Educational Data Mining Society, 2024
Although the fields of educational data mining and learning analytics have grown significantly in terms of analytical sophistication and the breadth of applications, the impact on theory-building has been limited. To move these fields forward, studies should not only be driven by learning theories, but should also use analytics to in form and…
Descriptors: Learning Theories, Learning Analytics, Electronic Learning, Elementary School Students
Ryan S. Baker; Stephen Hutt; Christopher A. Brooks; Namrata Srivastava; Caitlin Mills – International Educational Data Mining Society, 2024
Open science has become an important part of contemporary science, and some open science practices (such as data sharing) have been prominent aspects of Educational Data Mining (EDM) since the start of the field. There have been recent pushes for EDM to more fully embrace the range of open science practices that are seen in other fields. In this…
Descriptors: Information Retrieval, Data Analysis, Information Technology, Psychology
Finch, Sue; Gordon, Ian – Teaching Statistics: An International Journal for Teachers, 2023
Providing a rich context has become a sine qua non of principled teaching of applied statistical thinking. With increasing opportunities to access secondary data, there should be increasing opportunity to work with rich context. We review the contextual information provided in 41 data sets suitable for introductory tertiary statistics teaching,…
Descriptors: Statistics Education, Literacy, Introductory Courses, Statistical Analysis
Frydenlund, Jonas Højgaard – Scandinavian Journal of Educational Research, 2023
In this ethnographic study, I present a single school's practice of registering and analysing absence from school. I show that teachers use various "dirty," interpretational contexts for understanding absence and make it classifiable in "clean" attendance categories -- a move that decontextualises the meaning of absence. When…
Descriptors: Ethnography, Attendance, Truancy, Classification
Tappel, A. P. M.; Poortman, C. L.; Schildkamp, K.; Visscher, A. J. – Journal of Educational Change, 2023
Many innovations that are implemented in schools are initially successful, but fail to become part of the schools' habits and routines. Relatively little research has followed innovations in schools for a long(er) time. In addition, few reforms last long enough to be studied longitudinally. In this exploratory study, the authors aim to find a way…
Descriptors: Intervention, Sustainability, Educational Innovation, Data Use

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