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Johnson, Jillian C.; Olney, Andrew M. – International Educational Data Mining Society, 2022
Typical data science instruction uses generic datasets like survival rates on the Titanic, which may not be motivating for students. Will introducing real-life data science problems fill this motivational deficit? To analyze this question, we contrasted learning with generic datasets and artificial problems (Phase 1) with a community-sourced…
Descriptors: Data, Data Analysis, Interdisciplinary Approach, Student Motivation
Morris, Kelsey; Lewis, Timothy; Mitchell, Barb – Center on Positive Behavioral Interventions and Supports, 2022
This brief provides district PBIS [positive behavioral interventions and supports] leadership teams a framework to examine school-level fidelity and self-assessment data to guide resource, professional development, and technical assistance decision making.
Descriptors: School Districts, Data Use, Data Analysis, Fidelity
Bull, Bruce; Nelson, Robin – Center for IDEA Early Childhood Data Systems (DaSy), 2022
This guidance is for program and agency staff who have identified the need to develop a new data system or make major enhancements to an existing system. Key considerations are presented as questions to help guide staff through the initiation and planning process. The system initiation phase requires a broad team with the expertise and knowledge…
Descriptors: Educational Legislation, Federal Legislation, Equal Education, Students with Disabilities
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Samantha Szcyrek; Bonnie Stewart – OTESSA Journal, 2022
Over recent decades, higher education infrastructures have become increasingly digitized and datafied. The COVID-19 pandemic accelerated adoption of online learning platforms, trading the walls of the classroom for digital systems. Yet the surveillance, privacy, and discrimination issues that such systems raise are minimally understood by those…
Descriptors: Global Approach, Higher Education, Technology Uses in Education, COVID-19
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Hinds, Teri Lyn; Floyd, Nancy D.; Ueland, Jeffrey S. – New Directions for Institutional Research, 2021
In June 2019, Minnesota State set a critical goal: By 2030, eliminate the educational equity gaps at each of the 30 colleges and 7 universities that comprise the system. To achieve the goal of Equity 2030, and empower actors at every level of Minnesota State, system and campus leaders need to fully embrace data democratization. Without access to…
Descriptors: Equal Education, Higher Education, Educational Quality, State Policy
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Schachter, Rachel E.; Yeomans-Maldonado, Gloria; Piasta, Shayne B. – Journal of Literacy Research, 2023
Despite a growing focus on access to and use of emergent literacy assessment in early childhood, little is known about early childhood teachers' data practices and their associations with children's emergent literacy skills. A questionnaire was used to confirm and elaborate findings from prior qualitative work (Schachter & Piasta, 2022)…
Descriptors: Early Childhood Education, Early Childhood Teachers, Emergent Literacy, Data Collection
Data Quality Campaign, 2023
For decades, states have been investing in statewide longitudinal data systems (SLDSs) that connect individual-level data over time from early childhood, K-12, postsecondary, and workforce. Because of these investments, most states have a powerful tool that could provide people with the information they need to make decisions at key transition…
Descriptors: Access to Information, Data, Data Use, State Action
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Suvineetha Herath; Haywood Gelman; Lisa Mckee – Journal of Cybersecurity Education, Research and Practice, 2023
In today's data-sharing paradigm, personal data has become a valuable resource that intensifies the risk of unauthorized access and data breach. Increased data mining techniques used to analyze big data have posed significant risks to data security and privacy. Consequently, data breaches are a significant threat to individual privacy. Privacy is…
Descriptors: Information Security, Privacy, Data, Standards
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Burleson, James; Bott, Gregory J.; Carter, Michelle; Sarabadani, Jalal – Journal of Information Systems Education, 2023
To ensure validity in survey research, it is imperative that we properly educate doctoral students on best practices in data quality procedures. A 14-year analysis of 679 studies in the AIS "Basket of 8" journals noted undercommunication in the most pertinent procedures, consistent across journals and time. Given recent calls for…
Descriptors: Doctoral Programs, Curriculum Evaluation, Curriculum Development, Surveys
Viegas, Rachel A. – ProQuest LLC, 2023
At City Academies Neighborhood Middle School, there is a gap in student achievement. Over the course of two years, our lowest performing students did not grow at the rate of their peers. This problem has several consequences, including over classification of students with disabilities and a widening achievement gap. The purpose of my research was…
Descriptors: Middle School Students, Middle School Teachers, Achievement Gap, Individualized Instruction
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Prihar, Ethan; Vanacore, Kirk; Sales, Adam; Heffernan, Neil – International Educational Data Mining Society, 2023
There is a growing need to empirically evaluate the quality of online instructional interventions at scale. In response, some online learning platforms have begun to implement rapid A/B testing of instructional interventions. In these scenarios, students participate in series of randomized experiments that evaluate problem-level interventions in…
Descriptors: Electronic Learning, Intervention, Instructional Effectiveness, Data Collection
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Gupta, Uma G. – Journal of Education for Business, 2023
This paper describes the pedagogical experiences and lessons learned from teaching a service-learning graduate course in data governance at a medium-sized university in the Northeast. Just-in-time knowledge delivery and hands-on experiences in the form of service-learning projects played a critical role in knowledge acquisition and retention for…
Descriptors: Graduate Students, Data, Governance, Service Learning
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Axelrod, Daryl; Kahn, Jennifer – Discourse Processes: A Multidisciplinary Journal, 2023
Large-scale data and data visualizations are ubiquitous now in the stories that shape our society. In particular, these stories influence youth and families' communication and understanding of scientific, social, and personal issues. Consequently, we need to better understand how youth and families can engage and learn with the tools that generate…
Descriptors: Data, Visualization, Family (Sociological Unit), Story Telling
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Neuert, Cornelia E.; Meitinger, Katharina; Behr, Dorothée – Sociological Methods & Research, 2023
The method of web probing integrates cognitive interviewing techniques into web surveys and is increasingly used to evaluate survey questions. In a usual web probing scenario, probes are administered immediately after the question to be tested (concurrent probing), typically as open-ended questions. A second possibility of administering probes is…
Descriptors: Internet, Online Surveys, Test Items, Evaluation
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Prokofieva, Maria – Education and Information Technologies, 2023
External audit is undergoing rapid changes where more and more routine tasks are automated with analytics and artificial intelligence (AI) instruments. The paper addresses a research problem of mapping data analytics to audit tasks and develops a framework aligning audit phases and AI and using data analytics in teaching audit with AI. The paper…
Descriptors: Data Analysis, Financial Audits, Artificial Intelligence, Curriculum Development
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