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Cooper, Grant; Thomas, Damon P.; Prain, Vaughan; Fraser, Sharon – International Journal of Science Education, 2022
Many factors are claimed to explain Australian students' declining participation rates in senior secondary science subjects. These include, for instance, the influences of SES, indigeneity, and gender. While acknowledging the compelling case for these factors affecting student pathways, in this study we explore associations between students'…
Descriptors: Foreign Countries, Secondary School Students, Literacy Education, Student Participation
Finn, Chester E., Jr. – Harvard Education Press, 2022
"Assessing the Nation's Report Card" examines the history of the National Assessment of Educational Progress (NAEP) and outlines plans for improving and modernizing the organization. Educational policy analyst Chester E. Finn, Jr. imparts a rare inside analysis of the evolution of the NAEP program at key moments in its history, and…
Descriptors: Barriers, National Competency Tests, Educational History, Educational Policy
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Wescott, Stephanie – Changing English: Studies in Culture and Education, 2021
Post-truthism entered mainstream consciousness after being named "Oxford Dictionary's" word of the year in 2016, denoting a turn in the Western relationship with truth as a certain and indisputable object. Simultaneously, and paradoxically, rising distrust around teachers' professional judgement and a desire for certainty in practice saw…
Descriptors: English Teachers, Knowledge Level, Knowledge Base for Teaching, Evidence Based Practice
Lee, Jaekyung – Phi Delta Kappan, 2021
This study re-envisions the Nation's Report Card from a "whole child" perspective that considers not just students' academic achievement, but also their physical and mental health. Jaekyung Lee's integrated analysis of the National Assessment of Educational Progress and the National Survey of Children's Health datasets reveals that many…
Descriptors: Student Evaluation, Physical Health, Mental Health, Social Emotional Learning
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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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Fei Victor Lim; Jia Min Tan – Australian Journal of Language and Literacy, 2021
In light of the shift towards incorporating multimodality in the curriculum, it is of interest and value to examine the extent to which multimodal literacy is assessed in national and international literacy tests. This is so as to surface any misalignment between the two and highlight gaps which curriculum planners and assessment designers can…
Descriptors: Alignment (Education), Student Evaluation, Literacy, Tests
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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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Jewsbury, Paul A.; van Rijn, Peter W. – Journal of Educational and Behavioral Statistics, 2020
In large-scale educational assessment data consistent with a simple-structure multidimensional item response theory (MIRT) model, where every item measures only one latent variable, separate unidimensional item response theory (UIRT) models for each latent variable are often calibrated for practical reasons. While this approach can be valid for…
Descriptors: Item Response Theory, Computation, Test Items, Adaptive Testing
Jaya, Faradiba Ade Iswara; Yahya, Amalia; Jufriadi – Online Submission, 2020
The research aims to investigate whether Students' Readiness toward National Examination (A Case Study in SMPN 2 Palopo). The problem statement of the research was, "How are their readiness in facing national examination?" This research used the Descriptive Quantitative Method. The population of this research was 167 students from the…
Descriptors: Foreign Countries, National Competency Tests, Junior High School Students, Grade 9
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Chun Wang; Ping Chen; Shengyu Jiang – Journal of Educational Measurement, 2020
Many large-scale educational surveys have moved from linear form design to multistage testing (MST) design. One advantage of MST is that it can provide more accurate latent trait [theta] estimates using fewer items than required by linear tests. However, MST generates incomplete response data by design; hence, questions remain as to how to…
Descriptors: Test Construction, Test Items, Adaptive Testing, Maximum Likelihood Statistics
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Karen Ramlackhan; Yan Wang – Urban Education, 2024
We used the Stanford education data archive (SEDA) data to examine the heterogeneity among urban school districts in the United States. The SEDA 2.1 includes data sets on students' mathematics (Math) and English language arts (ELA) achievement from 2008 to 2014 at the district level. Growth mixture modeling was used to uncover the underlying…
Descriptors: Urban Schools, Academic Achievement, Mathematics Education, English Curriculum
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Rinat Arviv Elyashiv; Orit Avidov-Ungar – Educational Review, 2024
Large-scale assessments have become a basic national policy for educational improvement encouraging standards, decentralisation and school accountability. The current study focuses on the pedagogical dimension of large-scale assessments, examining its uses as a policy instrument for effecting pedagogical change. The paper presents and discusses…
Descriptors: Teacher Attitudes, Educational Assessment, Educational Policy, National Competency Tests
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Knipe, Sally; Bottrell, Christine – Educational Research Quarterly, 2023
The technological capacity that now exists to gather and store large amounts of data has improved access to information related to the academic performance, demographic profile and welfare needs of young people in a school. Improvements in data management techniques, statistical data analysis and software packages have made retrieving and…
Descriptors: Measurement Techniques, Indexes, Data Analysis, Enrollment
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Arantes, Janine Aldous – Australian Educational Researcher, 2023
Recent negotiations of 'data' in schools place focus on student assessment and NAPLAN. However, with the rise in artificial intelligence (AI) underpinning educational technology, there is a need to shift focus towards the value of teachers' digital data. By doing so, the broader debate surrounding the implications of these technologies and rights…
Descriptors: Foreign Countries, Elementary Secondary Education, Electronic Learning, Artificial Intelligence
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