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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
Raudonyte, Ieva – UNESCO International Institute for Educational Planning, 2020
Although the number of countries conducting large-scale assessments has significantly increased over the past two decades, this has not necessarily led to the effective use of learning assessment data in policymaking and planning. To better understand the reasons for this, the UNESCO International Institute for Educational Planning (IIEP)…
Descriptors: Student Evaluation, Foreign Countries, Elementary Secondary Education, National Competency Tests
Raudonyte, Ieva; Bodin, Mathieu – UNESCO International Institute for Educational Planning, 2021
Although the number of countries conducting large-scale assessments has increased significantly over the past two decades, this has not necessarily led to the effective use of learning assessment data in policy-making and planning. To better understand the reasons for this, the UNESCO International Institute for Educational Planning (IIEP)…
Descriptors: Data Use, Foreign Countries, Student Evaluation, Educational Planning
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Paul A. Jewsbury; Matthew S. Johnson – Large-scale Assessments in Education, 2025
The standard methodology for many large-scale assessments in education involves regressing latent variables on numerous contextual variables to estimate proficiency distributions. To reduce the number of contextual variables used in the regression and improve estimation, we propose and evaluate principal component analysis on the covariance matrix…
Descriptors: Factor Analysis, Matrices, Regression (Statistics), Educational Assessment
Wai Yin Wan; Lisa Williams; Eunro Lee; Lucy Lu – Australian Education Research Organisation Limited, 2023
The Australian Education Research Organisation (AERO) has created the first longitudinally linked dataset of Australian students' National Assessment Program -- Literacy and Numeracy (NAPLAN) participation and results. This technical paper describes the creation of the Longitudinal Literacy and Numeracy in Australia (LLANIA) dataset, including the…
Descriptors: Longitudinal Studies, Literacy, Numeracy, Foreign Countries
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Hardy, Ian – Journal of Education Policy, 2021
Drawing upon recent theorising of numbers and data, and applications to schooling, this paper reveals how tensions between more accountability-oriented logics, and more contextually-situated conceptions of engagement with data, played out in one school in a regional community in northern Queensland, Australia. The research reveals that at the same…
Descriptors: Data Analysis, Accountability, Faculty Development, Academic Achievement
Louden, William – Education Services Australia, on behalf of the Education Council, 2019
The Education Council of the Council of Australian Governments (COAG) commissioned a review of the current approach to the presentation of the National Assessment Program -- Literacy and Numeracy (NAPLAN) data including information published on the "My School" website. The review was framed by four Terms of Reference, namely: (1)…
Descriptors: Foreign Countries, Literacy, National Competency Tests, Numeracy
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Tate, Tamara P.; Warschauer, Mark – Technology, Knowledge and Learning, 2019
The quality of students' writing skills continues to concern educators. Because writing is essential to success in both college and career, poor writing can have lifelong consequences. Writing is now primarily done digitally, but students receive limited explicit instruction in digital writing. This lack of instruction means that students fail to…
Descriptors: Writing Tests, Computer Assisted Testing, Writing Skills, Writing Processes
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Zehner, Fabian; Harrison, Scott; Eichmann, Beate; Deribo, Tobias; Bengs, Daniel; Andersen, Nico; Hahnel, Carolin – International Educational Data Mining Society, 2020
The "2nd Annual WPI-UMASS-UPENN EDM Data Mining Challenge" required contestants to predict efficient testtaking based on log data. In this paper, we describe our theory-driven and psychometric modeling approach. For feature engineering, we employed the Log-Normal Response Time Model for estimating latent person speed, and the Generalized…
Descriptors: Data Analysis, Competition, Classification, Prediction
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Jiang, Yang; Gong, Tao; Saldivia, Luis E.; Cayton-Hodges, Gabrielle; Agard, Christopher – Large-scale Assessments in Education, 2021
In 2017, the mathematics assessments that are part of the National Assessment of Educational Progress (NAEP) program underwent a transformation shifting the administration from paper-and-pencil formats to digitally-based assessments (DBA). This shift introduced new interactive item types that bring rich process data and tremendous opportunities to…
Descriptors: Data Use, Learning Analytics, Test Items, Measurement
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Mausethagen, Sølvi; Prøitz, Tine S.; Skedsmo, Guri – Education Inquiry, 2021
In this article, we explore how values in education are negotiated and partly redefined by teachers, school leaders and local administrators with data use and accountability. Two dilemmas are prominent for the teachers: 1) Testing and data use are perceived as important to meet the needs of the students and to create transparency and initiating…
Descriptors: Values, Data Use, Accountability, Problems
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Qian, Jiahe – ETS Research Report Series, 2020
The finite population correction (FPC) factor is often used to adjust variance estimators for survey data sampled from a finite population without replacement. As a replicated resampling approach, the jackknife approach is usually implemented without the FPC factor incorporated in its variance estimates. A paradigm is proposed to compare the…
Descriptors: Computation, Sampling, Data, Statistical Analysis
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Christine J. Jackson – Australian Journal of Language and Literacy, 2022
Internationally, assessment and the use of diagnostic data are recognized as critical capabilities for teachers. This is not a recent development, with assessment recognized for some decades as playing a significant role in informing learning and learners.This paper will examine whether teachers and members of the school leadership team utilize…
Descriptors: National Competency Tests, Literacy, Numeracy, Instructional Leadership
Benjamin W. Arold; M. Danish Shakeel – Annenberg Institute for School Reform at Brown University, 2021
From 2010 onwards, most US states have aligned their education standards by adopting the Common Core State Standards (CCSS) for math and English Language Arts. The CCSS did not target other subjects such as science and social studies. We estimate spillovers of the CCSS on student achievement in non-targeted subjects in models with state and year…
Descriptors: Common Core State Standards, Mathematics Education, Language Arts, Alignment (Education)
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Cumming, Joy; Goldstein, Harvey; Hand, Kirstine – Educational Assessment, Evaluation and Accountability, 2020
In Australia, under the National Assessment Plan, educational accountability testing in literacy and numeracy (NAPLAN) is undertaken with all students in Years 3, 5, 7 and 9 to monitor student achievement and inform policy. However, the extent to which these data have been analysed to report student progress is limited. This article reports a…
Descriptors: Accountability, Data Use, Indigenous Populations, Foreign Countries
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