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Data Quality Campaign, 2025
Statewide longitudinal data systems (SLDSs) often rely on personal identifiers to securely link individual-level data across early childhood, K-12, higher education, and the workforce. However, different sectors use different types of personal identifiers which can make accurately connecting records difficult. Driver's license data offers a single…
Descriptors: Data Collection, Motor Vehicles, Certification, Education Work Relationship
Jane Watson; Noleine Fitzallen – Teaching Statistics: An International Journal for Teachers, 2025
The practice of statistics has the power to motivate and support learning across the STEM (Science, Technology, Engineering, and Mathematics) disciplines. When connected with meaningful science contexts, statistical problem solving through the collection of data and subsequent data analysis, supported by contemporary graphing technology, presents…
Descriptors: Elementary School Students, Grade 5, Statistics, Statistics Education
Tochukwu Okoye – Learning Professional, 2024
Data is ubiquitous and inseparable from the human experience. It constantly informs and transforms interactions, decisions, and understanding. If the total amount of all the data created daily was printed on paper, it would fill a library the size of 110 Libraries of Congress. As a senior research consultant for an education market research and…
Descriptors: Elementary Secondary Education, Data Use, Inclusion, Educational Improvement
Ivimey-Cook, Edward R.; Noble, Daniel W. A.; Nakagawa, Shinichi; Lajeunesse, Marc J.; Pick, Joel L. – Research Synthesis Methods, 2023
Extracting data from studies is the norm in meta-analyses, enabling researchers to generate effect sizes when raw data are otherwise not available. While there has been a general push for increased reproducibility in meta-analysis, the transparency and reproducibility of the data extraction phase is still lagging behind. Unfortunately, there is…
Descriptors: Replication (Evaluation), Data Collection, Meta Analysis, Computer Software
Gregory Chernov – Evaluation Review, 2025
Most existing solutions to the current replication crisis in science address only the factors stemming from specific poor research practices. We introduce a novel mechanism that leverages the experts' predictive abilities to analyze the root causes of replication failures. It is backed by the principle that the most accurate predictor is the most…
Descriptors: Replication (Evaluation), Prediction, Scientific Research, Failure
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
Sean M. Baser; William B. Walker Jr.; Matt T. Dean; Mónica Maldonado – State Higher Education Executive Officers, 2025
State regulators are the central authority in higher-education oversight, charged with ensuring consumer protection and quality assurance within the regulatory triad. Yet gaps remain in the understanding of regulatory renewal processes, their real-world implementation, and the capacity challenges these agencies face. To address this, State Higher…
Descriptors: Higher Education, State Regulation, Governance, Accountability
Christian Genest; James A. Hanley; Sahir R. Bhatnagar – Journal of Statistics and Data Science Education, 2024
This article provides an introduction to randomized response polling, a technique which was designed to allow for questioning on sensitive issues while protecting the respondent's privacy and avoiding social desirability bias. It is described in terms that are suitable for presentation and use in any classroom environment. Instructions for plain…
Descriptors: Foreign Countries, Randomized Controlled Trials, Controversial Issues (Course Content), Privacy
Steven Hall; Erin Leeder – Research Synthesis Methods, 2024
In response to the evolving needs of knowledge synthesis, this manuscript introduces the concept of narrative reanalysis, a method that refines data from initial reviews, such as systematic and reviews, to focus on specific sub-phenomena. Unlike traditional narrative reviews, which lack the methodological rigor of systematic reviews and are…
Descriptors: Research Methodology, Research and Development, Review (Reexamination), Innovation
Shin-Yu Kim; Inseong Jeon; Seong-Joo Kang – Journal of Chemical Education, 2024
Artificial intelligence (AI) and data science (DS) are receiving a lot of attention in various fields. In the educational field, the need for education utilizing AI and DS is also being emerged. In this context, we have created an AI/DS integrating program that generates a compound classification/regression model using characteristics of compounds…
Descriptors: Chemistry, Science Instruction, Laboratory Experiments, Artificial Intelligence
Jovan Groen; Carolyn Hoessler; Carolyn Ives; Veronica Bamber; Corinne Laverty; Klodiana Kolomitro – To Improve the Academy, 2023
Across higher education, educational developers and their supporting campus communities are being called upon to scale up evidence-informed practices, to enhance student experiences, and to document the changes. This article builds on the work of scholars who have taken up this evaluative challenge, by examining varied aspects of the evidencing…
Descriptors: Educational Development, Educational Change, Higher Education, Evidence
Nilam Ram; Lisa Gatzke-Kopp – Review of Research in Education, 2023
We note two possibilities for how our science might capitalize on advances in computing that harness and weave "big data" into the rich tapestry of how human development unfolds. First, we propose that the classic theoretical models that have guided developmental research since the 1970s and the hierarchical analytical models used to…
Descriptors: Networks, Models, Educational Theories, Educational Research
Knips, Andrew; Lopez, Sonya; Savoy, Michael; LaParo, Kendall – ASCD, 2022
Building a better data culture can be the path to better results and greater equity in schools. But what do we mean by data? Your students are not just statistics. They aren't simply a set of numbers or faceless dots on a proficiency scale. They are vibrant collections of experiences, thoughts, perspectives, emotions, wants, and dreams. And taken…
Descriptors: Equal Education, Data Use, Data Collection, Data Analysis
Sarah Wallace; Mark Llewellyn – International Journal of Social Research Methodology, 2025
The use of social media platforms as a means of data collection for researchers is increasing. With the number of active users of Facebook across the globe exceeding two billion, the platform offers a means to reach and hear from diverse populations and gather information-rich data. Despite an increase of researchers utilising Facebook and…
Descriptors: Social Media, Research Methodology, Evaluation, Computer Mediated Communication
Kalista Peña – Tribal College Journal of American Indian Higher Education, 2025
Native nations have long proven their resilience against the odds, consistently paving a path forward and exercising their sovereign rights as autonomous, self-governing peoples. As the world embarks upon an increasingly digital age, Indigenous peoples face a new threat: datafication. Datafication is "turning nearly every aspect of human life…
Descriptors: Minority Serving Institutions, Tribally Controlled Education, Tribal Sovereignty, Data Use

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