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Miranda Kucera; K. Kawena Begay – Communique, 2025
While the field advocates for a diversified and comprehensive professional role (National Association of School Psychologists, 2020), school psychologists have long spent most of their time in assessment-related activities (Farmer et al., 2021), averaging about eight cognitive evaluations monthly (Benson et al., 2020). Assessment practices have…
Descriptors: Equal Education, Student Evaluation, Evaluation Methods, Standardized Tests
Miranda Kucera; K. Kawena Begay – Communique, 2025
In Part 1 of this series, the authors briefly reviewed some challenges inherent in using standardized tools with students who are not well represented in norming data. To help readers clearly conceptualize the framework steps, the authors present two case studies that showcase how a nonstandardized approach to assessment can be individualized to…
Descriptors: Equal Education, Student Evaluation, Evaluation Methods, Standardized Tests
Finn, Chester E., Jr.; Hanushek, Eric A. – State Education Standard, 2020
When COVID-19 forced a hiatus in federally mandated assessments in spring 2020, it interrupted a quarter century of effort to track, disaggregate, and publicize achievement levels at the school level. The aborted school year put a big data gap where 2020 scores should have been. Combined with the already raging assaults on testing, state education…
Descriptors: Standardized Tests, Accountability, COVID-19, Pandemics
Marion, S. F.; Gonzales, D.; Wiener, R.; Peltzman, A. – National Center for the Improvement of Educational Assessment, 2020
State policymakers are confronting well-documented intersecting crises -- medical, economic, and racial -- with especially dire implications for educational equity. State education leaders face a moral urgency to both understand and respond to the challenges students are experiencing and to do so in ways that address burgeoning equity gaps.…
Descriptors: State Policy, Educational Opportunities, Program Evaluation, Summative Evaluation
Cotto, Robert, Jr. – Teachers College Record, 2016
Connecticut experienced two major changes in testing policy for children with disabilities that played a major role in conclusions about educational progress in the state. First, the No Child Left Behind Act (NCLB) of 2001 required that all students with disabilities participate in grade-level, standardized tests. This movement of students…
Descriptors: Disabilities, Data Collection, Student Evaluation, Standardized Tests
Jimenez, Laura – Center for American Progress, 2020
Schools face enormous challenges regarding how to operate efficiently and safely for the 2020-21 school year. As part of that response, some state leaders are asking the U.S. Department of Education to waive the annual federal testing and accountability requirements for 2021, which are key to understanding and addressing gaps in education among…
Descriptors: COVID-19, Pandemics, Disease Control, Well Being
Drachsler, H.; Kalz, M. – Journal of Computer Assisted Learning, 2016
The article deals with the interplay between learning analytics and massive open online courses (MOOCs) and provides a conceptual framework to situate ongoing research in the MOOC and learning analytics innovation cycle (MOLAC framework). The MOLAC framework is organized on three levels: On the micro-level, the data collection and analytics…
Descriptors: Online Courses, Data Collection, Data Analysis, Reflection
Meiri, Gal; Dinstein, Ilan; Michaelowski, Analya; Flusser, Hagit; Ilan, Michal; Faroy, Michal; Bar-Sinai, Asif; Manelis, Liora; Stolowicz, Dana; Yosef, Lili Lea; Davidovitch, Nadav; Golan, Hava; Arbelle, Shosh; Menashe, Idan – Journal of Autism and Developmental Disorders, 2017
Elucidating the heterogeneous etiologies of autism will require investment in comprehensive longitudinal data acquisition from large community based cohorts. With this in mind, we have established a hospital-university-based (HUB) database of autism which incorporates prospective and retrospective data from a large and ethnically diverse…
Descriptors: Autism, Databases, Etiology, Hospitals
Klein-Collins, Rebecca – Council for Adult and Experiential Learning, 2016
Prior Learning Assessment (PLA) is the evaluation and assessment of learning gained outside a traditional academic environment for college credit, certification, or advanced standing toward further education or training. The term PLA encompasses a wide spectrum of assessment methods, including, but not limited to, credit by examination, challenge…
Descriptors: Prior Learning, Student Evaluation, Evaluation Methods, Data Analysis
National Forum on Education Statistics, 2018
The Forum Guide to Early Warning Systems provides information and best practices to help education agencies plan, develop, implement, and use an early warning system in their agency to inform interventions that improve student outcomes. The document includes a review of early warning systems and their use in education agencies and explains the…
Descriptors: Educational Indicators, Best Practices, Elementary Secondary Education, Data Collection
Brabeck, Mary M.; Dwyer, Carol Anne; Geisinger, Kurt F.; Marx, Ronald W.; Noell, George H.; Pianta, Robert C.; Subotnik, Rena F.; Worrell, Frank C. – Theory Into Practice, 2016
Teacher preparation programs have both a desire and a responsibility to demonstrate, with affirmative evidence, that teacher education makes a difference in PreK-12 student learning. Program faculty need good data to make decisions about the progress of students, whom to recommend for state licensure, and how to improve teacher education. This…
Descriptors: Teacher Education Programs, Program Evaluation, Program Effectiveness, Standardized Tests
Sugarman, Julie – Migration Policy Institute, 2018
In recent years, education data have become both more easily accessible and more important than ever to decisions about K-12 policies and practice. Under the "Every Student Succeeds Act" (ESSA), states are required to publish data on how students, including English Learners (ELs), are performing in areas such as reading, math, and…
Descriptors: English Language Learners, Data Collection, Data Analysis, Student Characteristics
New Leaders, 2015
How and how much should students be tested? What information should schools and districts be required to collect and monitor? And what should be done when that information suggests a school is not meeting the expectations? Those questions are at the heart of Congressional discussions regarding the reauthorization of the Elementary and Secondary…
Descriptors: Accountability, Data Collection, Educational Policy, Principals
Finster, Matthew – Teacher Incentive Fund, US Department of Education, 2015
Having a well-qualified, effective teacher in every classroom is a cornerstone of current educational reforms. Clearly, retaining these effective teachers is critical to achieving this goal. This brief presents a strategic accountability approach to managing teacher talent retention and turnover. The brief begins with an overview of a strategic…
Descriptors: Identification, Progress Monitoring, Benchmarking, Teacher Persistence
Thomas B. Fordham Institute, 2019
Creating smart, coherent education policy is painstaking work; there are technical, budgetary, and political challenges at almost every turn. But it is some of the most important work that state leaders can undertake. As Ohioans prepared to elect a new governor in late 2018, we at the Fordham Institute began rolling out a set of policy proposals…
Descriptors: College Readiness, Career Readiness, Educational Policy, State Policy