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Praveen Kumar Guraja – ProQuest LLC, 2022
Public higher education in the United States (US) is funded through two primary forms: one is through state higher education appropriation funds, and the other is student financial aid that is directly given to students. Increasing postsecondary full-time equivalent (FTE) enrollment and graduation rate are becoming a crucial economic priority in…
Descriptors: Data Analysis, Budgeting, Retrenchment, Public Colleges
Jeremy Seeman; Aaron R. Williams; Claire McKay Bowen – Urban Institute, 2025
The Nebraska Statewide Workforce & Educational Reporting System (NSWERS) is a state longitudinal data system (SLDS) that coordinates data sharing, processing, and dissemination efforts across the Nebraska public school systems, Nebraska community colleges, the University of Nebraska system, the Nebraska Department of Labor, and other statewide…
Descriptors: Privacy, Access to Information, Data, State Programs
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Prerna Srigyan; Kim Fortun – Science & Education, 2025
Research in cultural anthropology and the interdisciplinary field of science and technology studies (STS) has demonstrated that environmental disasters are not only techno-scientifically and socio-politically complex but also epistemically complex -- involving perspectival diversity; multiple, often conflicting forms of evidence; data gaps and…
Descriptors: Case Studies, Environmental Education, Natural Disasters, Justice
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Majdi Beseiso – TechTrends: Linking Research and Practice to Improve Learning, 2025
Predicting students' success is crucial in educational settings to improve academic performance and prevent dropouts. This study aimed to improve student performance prediction by combining advanced machine learning (ML) approaches. Convolutional Neural Networks (CNNs) and attention mechanisms were used for extracting relevant features from…
Descriptors: Prediction, Success, Academic Achievement, Artificial Intelligence
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Jule Scheper; Robin Leuppert; Daniel Possler; Anna Freytag; Sophie Bruns; Julia Niemann-Lenz – Journalism and Mass Communication Educator, 2025
Despite the increasing use of the statistical programming language R in statistics and data analysis (SDA), its implementation in communication science education is limited. Experiences, recommendations, and a critical exchange are therefore scarce. The following contribution addresses this very gap. At the Department of Journalism and…
Descriptors: Journalism Education, Programming Languages, Statistical Analysis, Data Analysis
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Arpit Sharma; Susan Wright – Research in Higher Education Journal, 2025
This study examines accounting faculty perceptions of the alignment of the newly revised CPA exam with the evolving demands of the accountancy profession. Triggered by significant technological advancements and the CPA Evolution initiative, the exam now encompasses broader coverage of data analytics, information technology, and emerging…
Descriptors: Accounting, Licensing Examinations (Professions), College Faculty, Teacher Attitudes
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Jing Chen; Tianhui Chen – Journal of Computer Assisted Learning, 2025
Background: The creation of Intelligent Supervision Platforms in universities leverages Big Data for robust monitoring and decision-making, which significantly enhances overall efficiency and adaptability in educational environments. Objectives: This research focuses on evaluating how Big Data-driven Intelligent Supervision Platforms in…
Descriptors: Educational Change, Higher Education, Universities, Supervision
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Lanze Vanermen; Joris Vlieghe; Mathias Decuypere – Discourse: Studies in the Cultural Politics of Education, 2025
Educational dashboards are increasingly prevalent visualising technologies that display data from educational processes to help learners and educators track learning pathways, alert for deviations, and make interventions. This study contributes to critical studies on data visualisations in education by examining dashboards in higher distance…
Descriptors: Distance Education, Higher Education, Visual Aids, Educational Technology
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Yichun Miriam Liu; Eunice Kim; Greg M. Allenby – Marketing Education Review, 2025
We discuss our experience in teaching data analytics, and in particular prescriptive analytics, to students in business schools using an inter-coherent case study, where a managerial decision is decomposed into a series of research problems with interlocking analyses and the outcome of one analysis is the input of other analysis. Students who…
Descriptors: Business Schools, Computer Software, Marketing, Programming
Juan D’Brot – National Center for the Improvement of Educational Assessment, 2025
Only weeks into its new term, the Trump administration has taken steps to lay off federally funded education research staff, cancel nearly $1 billion in contracts and dismantle the U.S. Department of Education. These moves have upended evaluations of federally funded education programs and threatened access to massive data sets that states,…
Descriptors: Data Use, Decision Making, Capacity Building, Data Analysis
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Colleen Carraher-Wolverton; Guolin Lai; Jeremy T. Navarre; Dione Davis; Patricia Lanier – Journal of Information Systems Education, 2025
Business analytics is an emerging and prominent tool in many industries seeking to exploit the advantages of data-driven decision making. Simultaneously, educational institutions are developing and delivering business analytics offerings to equip business professionals with the tools necessary to implement business analytics in modern businesses.…
Descriptors: Business Education, Blended Learning, Academic Achievement, Data Analysis
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Mahadi Hasan Miraz; Sanmugam Annamalah; Rohana Sham – Educational Process: International Journal, 2025
Background/purpose: It revisits Partial Least Squares Structural Equation Modeling (PLS-SEM) as a robust tool for analyzing non-normal data and small samples, offering predictive modeling advantages. This study also compares the merits, practical applications, and added value of both tools in tackling complicated research issues, notably in…
Descriptors: Evaluation Methods, Educational Research, Structural Equation Models, Data Analysis
Washington Student Achievement Council, 2025
This toolkit offers guidance on how to implement efficient, engaging, and effective enhanced outreach to students. It includes both messaging strategies and ways to analyze the results of outreach messaging to determine what is working and what is not. The guidance in this toolkit explains how to craft messages and analyze engagement data to…
Descriptors: Outreach Programs, Program Improvement, Student Needs, College Students
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Yi, Zhihui; Schreiber, James B.; Paliliunas, Dana; Barron, Becky F.; Dixon, Mark R. – Journal of Behavioral Education, 2021
The recent commentary by Beaujean and Farmer (2020) on the original paper by Dixon et al. (2019) serves a cautionary tale of selective p-values, the law of small N sizes, and the type-II error. We believe these authors have crafted a somewhat questionable argument in which only 57% of the original Dixon et al. data were re-analyzed, based on a…
Descriptors: Research Problems, Data Analysis, Statistical Analysis, Probability
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Randy G. Floyd; Sequoya A. Fitzpatrick; Patrick J. McNicholas; Nikita M. Pike – School Psychology, 2024
"Best Practices in School Psychology" is one of the most influential books in school psychology history. Originally published in 1985 by Thomas and Grimes, it was the first book offered by the National Association of School Psychologists. Its six editions have been revised every 5-8 years. Utilizing Publish or Perish as well as…
Descriptors: Bibliometrics, School Psychology, Best Practices, Research Reports
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