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Nancy Montes; Fernanda Luna – UNESCO International Institute for Educational Planning, 2024
This article characterizes and reflects on the possible uses of early warning systems (hereafter, EWS) in the region as effective tools to support educational pathways, whenever they identify risks of dropout, difficulties for the achievement of substantive learning, and the possibility of organizing specific actions. This article was developed in…
Descriptors: Data Collection, Data Use, At Risk Students, Foreign Countries
Nathan Jones; Lindsey Kaler; Jessica Markham; Josefina Senese; Marcus A. Winters – Educational Researcher, 2025
Students with and without disabilities may be educated across various service delivery models (SDMs): general education, cotaught, pull-out, and self-contained. Still, evidence for their relative effectiveness at scale remains limited. Using longitudinal administrative data from Indiana, we measured the effect of different SDMs on test scores,…
Descriptors: Students with Disabilities, Teaching Methods, Students, Instructional Effectiveness
Data Quality Campaign, 2022
For decades, schools nationwide have collected household income data to identify those eligible for free and reduced-price lunch programs. State leaders have long used this information as a proxy for student economic disadvantage--yet this data is insufficient to understand and address students' needs. Measures based on FRL data lack critical…
Descriptors: State Policy, Student Needs, Measurement Techniques, Disadvantaged Youth
Prescott, Brian T. – Change: The Magazine of Higher Learning, 2021
A "Cone of Uncertainty" has become ubiquitous in hurricane forecasting, encompassing the likeliest possible path that a storm might take as it approaches landfall. These forecasts are crucial because they help government agencies at all levels prepare even in these far-from-certain future conditions. Although individual institutions have…
Descriptors: Educational Planning, COVID-19, Pandemics, Decision Making
Faubert, Brenton Cyriel; Le, Anh Thi Hoai; Wakim, Georges; Swapp, Donna – International Journal of Education Policy and Leadership, 2019
This article reports on a rigorous approach developed for calibrating the Evidence-Based Adequacy Model to suit the Ontario K-12 public education context, and the actual calibrations made. The four-step calibration methodology draws from expert consultations and a review of the academic literature. Specific attention is given to the technical…
Descriptors: Elementary Secondary Education, Public Education, Models, Foreign Countries
Millei, Zsuzsa; Gallagher, Jannelle – Early Child Development and Care, 2017
Australian early childhood education still labours with the achievement of universal access and the production of comprehensive and consistent data to underpin a national evidence base. In this article, we attend to the processes led by numbers whereby new practices of quantification, rationalization and reporting are introduced and mastered in a…
Descriptors: Foreign Countries, Early Childhood Education, Preschool Education, Access to Education
Papadimitriou, Maria; Johnes, Jill – Studies in Higher Education, 2019
This paper focuses on the effect of merger on university efficiency. In a first stage analysis, efficiency scores of English universities are derived for a 17-year period using the frontier estimation method data envelopment analysis. A second stage analysis explores the effect of merger and other factors on efficiency. We find that mean…
Descriptors: Organizational Change, Universities, Efficiency, Educational Policy
Tsai, Yi-Shan; Moreno-Marcos, Pedro Manuel; Jivet, Ioana; Scheffel, Maren; Tammets, Kairit; Kollom, Kaire; Gaševic, Dragan – Journal of Learning Analytics, 2018
This paper introduces a learning analytics policy and strategy framework developed by a cross-European research project team -- SHEILA (Supporting Higher Education to Integrate Learning Analytics), based on interviews with 78 senior managers from 51 European higher education institutions across 16 countries. The framework was developed adapting…
Descriptors: Data Analysis, Learning, Educational Policy, Higher Education
Culver, K. C.; Harper, Jordan; Kezar, Adrianna – Pullias Center for Higher Education, 2021
A customized guide about liberatory design thinking processes that have been tested within college settings to support changes that enhance equity in policies and practices within institutions. This research is based on case studies of several institutions, including focus group interviews with the campus design teams and an analysis of artifacts.…
Descriptors: Design, Program Design, Colleges, Universities
Robinson, Mitchell – Arts Education Policy Review, 2015
The music education profession is faced with two serious problems regarding the (mis)use of data in music teacher evaluation. The first has to do with the quality and kinds of data that music teachers have been forced to use; the second is concerned with how these data are being used in the music teacher evaluation process. The evidence I will use…
Descriptors: Music Education, Music Teachers, Teacher Evaluation, Data Analysis
Edmunds, Julie A.; Grebing, Eric; Coyle, Victoria; Rosof, Laura – Journal of Education for Students Placed at Risk, 2022
The opportunity to take college courses in high school (dual enrollment) is becoming increasingly prevalent, but access is not equitably distributed. Certain populations, such as economically disadvantaged students and students who are members of racial and ethnic groups historically underrepresented in college, are less likely to take dual…
Descriptors: Equal Education, Access to Education, Dual Enrollment, High School Students
Rollinson, Joseph; Brunskill, Emma – International Educational Data Mining Society, 2015
At their core, Intelligent Tutoring Systems consist of a student model and a policy. The student model captures the state of the student and the policy uses the student model to individualize instruction. Policies require different properties from the student model. For example, a mastery threshold policy requires the student model to have a way…
Descriptors: Prediction, Models, Educational Policy, Intelligent Tutoring Systems
Sezer, Senol – Educational Sciences: Theory and Practice, 2016
The purpose of this study is to reveal school administrators' opinions on frequently changing regulations related to appointments and relocation and to offer a new model. A qualitative research design was employed. The study participants were 20 school principals and 20 vice principals working in the Ordu, Giresun and Trabzon city centres during…
Descriptors: Foreign Countries, Administrator Attitudes, Principals, Assistant Principals
Harvey, Marina; Kosman, Bronwyn – Journal of Higher Education Policy and Management, 2014
The development of a standards-based assessment policy represented a significant cultural shift in assessment practice at one university. Concurrently, the implementation of a policy framework represented a significant procedural shift in policy development and review. The assessment policy was the first policy scheduled to be reviewed through the…
Descriptors: Educational Assessment, Educational Policy, Higher Education, Models
Fazlul, Ishtiaque; Koedel, Cory; Parsons, Eric – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2022
Measures of student disadvantage--or risk--are critical components of equity-focused education policies. However, the risk measures used in contemporary policies have significant limitations, and despite continued advances in data infrastructure and analytic capacity, there has been little innovation in these measures for decades. We develop a new…
Descriptors: Academic Achievement, At Risk Students, Prediction, Disadvantaged