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Melissa Pollard-Hudson – ProQuest LLC, 2024
This quantitative study explored how well the "Big Ideas Math (BIM)" curriculum helped third-grade students in Title I schools within the Polston School District (pseudonym) improve their math skills and high-stakes testing scores. Thirteen elementary schools were selected based on factors such as diversity, poverty rates, and academic…
Descriptors: Program Evaluation, Mathematics Education, Elementary School Mathematics, Elementary School Students
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John Nyamunda – South African Journal of Education, 2024
The quality of education is a predictor of a country's economic performance -- which is why comparative international education surveys are important. South Africa performed poorly in the Trends in International Mathematics and Science Study (TIMSS) in 2019. The score of 374 for mathematics and 324 for science is poor compared to the mid-point of…
Descriptors: Foreign Countries, Academic Achievement, Predictor Variables, Cultural Differences
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César Guadalupe – Comparative Education, 2024
Standardised International Large-Scale Assessments (ILSAs) have gained prominence in global and national educational discussions. ILSAs claim to offer valuable insights for improving education systems, but their impact on educational policy varies and has become a contested arena. This article analyses how these assessments fed educational…
Descriptors: International Assessment, Educational Assessment, Educational Policy, Policy Formation
Nastasia Schreiner; Aleksandr Shneyderman – Office of Assessment, Research, and Data Analysis, Miami-Dade County Public Schools, 2024
Every school year, Miami-Dade County Public Schools (M-DCPS) students take a standardized state assessment in English Language Arts (ELA) and mathematics. During the 2022-2023 school year, a new version of the state assessment was implemented, titled the Florida Assessment for Student Thinking (FAST). The FAST is administered at three timepoints…
Descriptors: Standardized Tests, Achievement Tests, Predictive Validity, Mathematics Tests
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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Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – International Educational Data Mining Society, 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
Chengyu Cui; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Multidimensional item response theory (MIRT) models have generated increasing interest in the psychometrics literature. Efficient approaches for estimating MIRT models with dichotomous responses have been developed, but constructing an equally efficient and robust algorithm for polytomous models has received limited attention. To address this gap,…
Descriptors: Item Response Theory, Accuracy, Simulation, Psychometrics
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Yildirim, Ozen – International Education Studies, 2019
The measurement tool not measuring the specific construct has a validity problem. Individuals based on the results obtained from this type of tool should not be evaluated. The purpose of this study was to examine the differentiated item functioning and item bias of mathematics items in the Programme for International Student Achievement 2012…
Descriptors: Gender Differences, Mathematics Tests, Test Bias, Achievement Tests
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Wise, Steven L.; Kuhfeld, Megan R.; Soland, James – Applied Measurement in Education, 2019
When we administer educational achievement tests, we want to be confident that the resulting scores validly indicate what the test takers know and can do. However, if the test is perceived as low stakes by the test taker, disengaged test taking sometimes occurs, which poses a serious threat to score validity. When computer-based tests are used,…
Descriptors: Guessing (Tests), Computer Assisted Testing, Achievement Tests, Scores
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Muthukrishnan, Priyadarshini; Kee, Mong Sze; Sidhu, Gurnam Kaur – International Journal of Instruction, 2019
This study aimed to identify the different types of factual, conceptual and procedural errors among the six-years-old preschool children. The data were collected from 45 children from 3 kindergartens. The children responded to a Math worksheet which had 20 addition problems based on the early numeracy curriculum. The worksheet was validated by two…
Descriptors: Addition, Mathematics Instruction, Error Patterns, Foreign Countries
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Nazaretsky, Tanya; Hershkovitz, Sara; Alexandron, Giora – International Educational Data Mining Society, 2019
Sequencing items in adaptive learning systems typically relies on a large pool of interactive question items that are analyzed into a hierarchy of skills, also known as Knowledge Components (KCs). Educational data mining techniques can be used to analyze students response data in order to optimize the mapping of items to KCs, with similarity-based…
Descriptors: Intelligent Tutoring Systems, Item Response Theory, Measurement, Testing
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Atalmis, Erkan Hasan; Kingston, Neal Martin – SAGE Open, 2018
This study explored the impact of homogeneity of answer choices on item difficulty and discrimination. Twenty-two matched pairs of elementary and secondary mathematics items were administered to randomly equivalent samples of students. Each item pair comparison was treated as a separate study with the set of effect sizes analyzed using…
Descriptors: Test Items, Difficulty Level, Multiple Choice Tests, Mathematics Tests
Ioannou, Marios – Mathematics Education Research Group of Australasia, 2018
This study focuses on the undergraduate mathematics students' perceptions and applied techniques for the preparation for their final examination in Abstract Algebra. The results of this study suggest that the revision for the final examination involves, firstly, the review of the lecture notes, followed by the solution of the coursework together…
Descriptors: Algebra, Mathematics Tests, Undergraduate Students, Student Attitudes
Achieve, Inc., 2018
In 2013, the Council of Chief State School Officers (CCSSO), working collaboratively with state education agencies, released a set of criteria for states to use to evaluate and procure high-quality assessments. The mathematics section of the document included five content-specific criteria to evaluate alignment of assessments to college- and…
Descriptors: Mathematics Tests, Difficulty Level, Evaluation Criteria, Cognitive Processes
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Ng, Clarence – Journal of Educational Psychology, 2021
What motivates high school students to persist with challenging mathematics? The current investigation examined this important question using the concept of mathematics self-schema, that is, students' cognitive generalizations of their selves in learning mathematics. Mathematics self-schemas are important sources of motivation. It was hypothesized…
Descriptors: Foreign Countries, High School Students, Learning Motivation, Academic Persistence
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