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Brannegan, Andrew; Takahashi, Sola – Learning Professional, 2023
Educators have long been awash in a sea of standardized test score data, with the understanding that their engagement with these data will lead to improvement in teaching and learning. But, in practice, these data have often been too infrequent, too lagging, and too distant from day-to-day practice to inform actionable next steps. To improve…
Descriptors: Standardized Tests, Data Use, Educational Improvement, Data Analysis
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
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Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
The gold-standard for evaluating the effect of an educational intervention on student outcomes is running a randomized controlled trial (RCT). However, RCTs may often be small due to logistical considerations, and resulting treatment effect estimates may lack precision. Recent methods improve experimental precision by incorporating information…
Descriptors: Intervention, Outcomes of Education, Randomized Controlled Trials, Data Use
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Hartong, Sigrid; Piattoeva, Nelli – Critical Studies in Education, 2021
This paper contributes to a growing body of research on the increasing datafication of schooling, which has become a salient topic in comparative education and education policy research. Specifically, we address the rising scholarly concern about the meaning of (comparing) contexts as bounded localities facing an increasingly fluid and generative…
Descriptors: Data Analysis, Comparative Education, Educational Policy, Standardized Tests
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Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
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Gediminas Merkys; Sigitas Vaitkevicius; Daiva Bubeliene; Leonidas Sakalauskas – European Journal of Education, 2025
The results of total testing from the years 2015-2022 on the mathematical and verbal achievement of Lithuanian pupils (N [approximately equal to] 250,000) are presented. These are the standardised tests from grades 4 to 12. The K-Means method has discovered six types of achievement. The highest achievement type is dominated by girls (61.1%) who…
Descriptors: Foreign Countries, Elementary Secondary Education, Mathematics Achievement, Verbal Development
Michelle Wong – ProQuest LLC, 2023
Teacher data use is often centered around standardized testing. Such data use that is commonly centered on standardized tests and used during professional development does not necessarily transform teacher practice toward equity and fails to change teacher conceptualizations of students while also perpetuating inequitable practices. Conversely,…
Descriptors: Data Use, Standardized Tests, Faculty Development, Outcomes of Education
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Arnold, Jessica; Crane, Eric W. – Region 15 Comprehensive Center, 2021
In the summer and fall months of a "typical" year, many education leaders would receive reports of student performance on annual summative state assessments administered each spring. Using these data, administrators begin a process of sense-making -- identifying areas that need support and integrating new information offered by the data…
Descriptors: Decision Making, Data Use, Student Evaluation, COVID-19
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Vicente Reyes; Louise Phillips; M. Obaidul Hamid; Ian Hardy – Learning, Media and Technology, 2024
We draw upon Appadurai's 'scapes' and Latour's Actor Network Theory (ANT) to interrogate historical and spatial flows in relation to specific testing technologies. We reveal how testing systems, conceptualised as actor-networks, rearticulate colonial legacies of inequality which are intensified by new and emerging technologies. ANT helps trace…
Descriptors: Foreign Countries, Educational Technology, Educational Testing, Databases
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Tony Albano; Brian F. French; Thao Thu Vo – Applied Measurement in Education, 2024
Recent research has demonstrated an intersectional approach to the study of differential item functioning (DIF). This approach expands DIF to account for the interactions between what have traditionally been treated as separate grouping variables. In this paper, we compare traditional and intersectional DIF analyses using data from a state testing…
Descriptors: Test Items, Item Analysis, Data Use, Standardized Tests
Andrea Batey-Talley – ProQuest LLC, 2023
The Vortex School District (VSD) utilized CASE benchmark assessments as their accountability tool to measure students' progress on Tennessee's standardized testing. The researchers sought to determine the predictive relationship between math scores on CASE benchmark assessments and math scores on state-mandated standardized tests within the VSD.…
Descriptors: Benchmarking, Prediction, Standardized Tests, Mathematics Tests
Kimberly Wheeler – ProQuest LLC, 2023
The Vortex School District (VSD) utilized CASE benchmark assessments as their accountability tool to measure students' progress on Tennessee's standardized testing. The researchers sought to determine the predictive relationship between math scores on CASE benchmark assessments and math scores on state-mandated standardized tests within the VSD.…
Descriptors: Benchmarking, Prediction, Standardized Tests, Mathematics Tests
Benjamin Simmons – ProQuest LLC, 2023
The Vortex School District (VSD) utilized CASE benchmark assessments as their accountability tool to measure students' progress on Tennessee's standardized testing. The researchers sought to determine the predictive relationship between math scores on CASE benchmark assessments and math scores on state-mandated standardized tests within the VSD.…
Descriptors: Benchmarking, Prediction, Standardized Tests, Mathematics Tests
Betebenner, Damian W.; Wenning, Richard J. – National Center for the Improvement of Educational Assessment, 2021
In "Understanding Pandemic Learning Loss and Learning Recovery: The Role of Student Growth & Statewide Testing" we show how states, with spring 2021 assessment data together with student growth results derived from it, are positioned to address critical questions regarding academic learning loss. Answers to these questions, together…
Descriptors: COVID-19, Pandemics, Academic Achievement, Achievement Gains
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