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Duncan Culbreth; Rebekah Davis; Cigdem Meral; Florence Martin; Weichao Wang; Sejal Foxx – TechTrends: Linking Research and Practice to Improve Learning, 2025
Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…
Descriptors: High School Students, COVID-19, Pandemics, Progress Monitoring
Ann Marie Cotman; F. Chris Curran; Katharine Harris-Walls – Education Policy Analysis Archives, 2024
Choices made on data visualizations guide how users make meaning of the information presented. This research investigates design decisions made on 115 state-level dashboards reporting school safety data. Using pre-determined codes drawn from a framework of visualization rhetoric, dashboard characteristics were described and analyzed. Analysis…
Descriptors: School Safety, Data, Visual Aids, State Agencies
Mark Bray; Abdel Rahamane Baba-Moussa – Compare: A Journal of Comparative and International Education, 2025
This paper examines and builds on an earlier contribution to this journal focusing on private supplementary tutoring -- widely known as shadow education -- in Francophone West and Central Africa. Drawing on wider literature about research methods in this domain, it examines the basis for the numerical estimates presented in the original article…
Descriptors: Foreign Countries, Tutoring, Supplementary Education, Private Education
Hanita, Makoto; Bailey, Jessica; Khanani, Noman; Zhang, Xinxin – Regional Educational Laboratory Northeast & Islands, 2021
This applied research methods report is a guide for state and local education agency policymakers and their analysts who are interested in studying teacher mobility and retention. This report is the second in a two-part set and builds on the foundational information in report 1. This report presents guidance on how to interpret differences in…
Descriptors: Faculty Mobility, Teacher Persistence, Educational Research, Research Methodology
Zullig, Keith J.; Matthews-Ewald, Molly R.; Huebner, E. Scott – AASA Journal of Scholarship & Practice, 2021
The School Climate Measure (SCM) is a comprehensive measure of school climate that has demonstrated significant psychometric support and available free of charge. The goal of this research-informed commentary is to provide readers with necessary knowledge to make an informed decision of the appropriateness of the SCM for use in their school or…
Descriptors: Educational Environment, Test Construction, Psychometrics, Attitude Measures
Virginia A. Ressa; Sheryl S. Lazarus; Christopher M. Rogers; Kascinda Fleming; Mari Quanbeck – National Center on Educational Outcomes, 2024
Research on test accommodations provides valuable information that informs policy and practice. This report presents a synthesis of the research literature published in 2022 on testing accommodations for U.S. elementary and secondary students (K-12). The National Center on Educational Outcomes (NCEO) has reported on accommodations research since…
Descriptors: Elementary Secondary Education, Testing Accommodations, Academic Accommodations (Disabilities), Teacher Attitudes
A Learning Progression for Constructing and Interpreting Data Display. Research Report. ETS RR-20-03
Kim, Eun Mi; Oláh, Leslie Nabors; Peters, Stephanie – ETS Research Report Series, 2020
K-12 students are expected to acquire competence in data display as part of developing statistical literacy. To support research, assessment design, and instruction, we developed a hypothesized learning progression (LP) using existing empirical literature in the fields of mathematics and statistics education. The data display LP posits a…
Descriptors: Mathematics Education, Statistics Education, Teaching Methods, Data Analysis
Schultheis, Elizabeth H.; Kjelvik, Melissa K. – American Biology Teacher, 2020
Authentic, "messy data" contain variability that comes from many sources, such as natural variation in nature, chance occurrences during research, and human error. It is this messiness that both deters potential users of authentic data and gives data the power to create unique learning opportunities that reveal the nature of science…
Descriptors: Data Analysis, Scientific Research, Science Instruction, Scientific Principles
Healthy Schools Campaign, 2018
The link between health and learning is clear: healthy, active and well-nourished children are more likely to attend school, arrive ready to learn and stay engaged in class. Yet far too many students spend their days in schools that do not offer them adequate clean air and water, nutritious food, physical activity and the support of a school…
Descriptors: Educational Legislation, Elementary Secondary Education, Federal Legislation, Needs Assessment
Hardy, Ian; Lewis, Steven – Pedagogy, Culture and Society, 2018
The research reports how a particular school reform initiative--'Project 600'--constituted students in one school region Queensland, Australia. Drawing upon topological understandings of power and recent work on the visualisation of data in education, as well as the insights of key staff involved in the project, we reveal the complex and…
Descriptors: Performance Based Assessment, School Statistics, School Effectiveness, Visualization
Cuiccio, Cary; Husby-Slater, Marie – State Support Network, 2018
This guidebook is designed to support state and local leaders in the first step in the improvement process, the development and facilitation of a needs assessment. The guidebook does the following: (1) Reviews some of the major school-improvement-related needs assessment requirements found in the Elementary and Secondary Education Act of 1965, as…
Descriptors: Needs Assessment, Educational Improvement, Elementary Secondary Education, Educational Legislation
Jhon Alé; Beatrice Ávalos; Roberto Araya – Review of Education, 2025
This scoping review examines the integration of artificial intelligence (AI) tools into scientific education practices in school settings. Following the PRISMA statement guidelines, a literature search was conducted in the Web of Science and Scopus databases, identifying 2892 articles published between 2020 and 2024. After applying the eligibility…
Descriptors: Artificial Intelligence, Elementary Secondary Education, Technology Integration, Science Education
Stanislav Pozdniakov; Roberto Martinez-Maldonado; Yi-Shan Tsai; Vanessa Echeverria; Zachari Swiecki; Dragan Gaševic – Journal of Learning Analytics, 2025
Recent research on learning analytics dashboards has focused on designing user interfaces that offer various forms of "visualization guidance" (often referring to notions such as "data storytelling" or "narrative visualization") to teachers (e.g., emphasizing data points or trends with colour and adding annotations),…
Descriptors: Visual Aids, Learning Analytics, Technological Literacy, Pedagogical Content Knowledge
Goff, Jay W.; Williams, Brian G.; Kilgore, Wendy – Strategic Enrollment Management Quarterly, 2016
Effective strategic enrollment management (SEM) efforts require vast amounts of internal and external data to ensure that meaningful reporting and analysis systems can assist managers in decision making. A wide range of information is integral for leading effective and efficient student recruitment and retention programs. This article is designed…
Descriptors: Enrollment Management, Decision Making, Student Recruitment, School Holding Power
Lee, Patrick; Reed, Sherrie; Hernandez, Ambar; Kurlaender, Michal – Policy Analysis for California Education, PACE, 2018
This Intersegmental Data Partnerships Resource Guide, and the accompanying PACE policy brief (see ED591080), are products of a year-long qualitative research project exploring promising practices in data sharing and data use among intersegmental partnerships throughout California. This Resource Guide provides institutions engaged in intersegmental…
Descriptors: Partnerships in Education, Guides, Guidelines, Data Analysis

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