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Showing 1 to 15 of 41 results Save | Export
Kristen Panzarella; Angela Walmsley – Phi Delta Kappan, 2025
Computer-based testing is becoming dominant for assessments in education. In New York, students take state assessments, which are now administered digitally. While this transition in technology offers advantages, there are also challenges, including insufficient digital literacy for students to adequately meet the technological demands of the…
Descriptors: Computer Assisted Testing, Standardized Tests, Barriers, Tests
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Araneda, Sergio; Lee, Dukjae; Lewis, Jennifer; Sireci, Stephen G.; Moon, Jung Aa; Lehman, Blair; Arslan, Burcu; Keehner, Madeleine – Education Sciences, 2022
Students exhibit many behaviors when responding to items on a computer-based test, but only some of these behaviors are relevant to estimating their proficiencies. In this study, we analyzed data from computer-based math achievement tests administered to elementary school students in grades 3 (ages 8-9) and 4 (ages 9-10). We investigated students'…
Descriptors: Student Behavior, Academic Achievement, Computer Assisted Testing, Mathematics Achievement
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Kayla V. Campaña; Benjamin G. Solomon – Assessment for Effective Intervention, 2025
The purpose of this study was to compare the classification accuracy of data produced by the previous year's end-of-year New York state assessment, a computer-adaptive diagnostic assessment ("i-Ready"), and the gating combination of both assessments to predict the rate of students passing the following year's end-of-year state assessment…
Descriptors: Accuracy, Classification, Diagnostic Tests, Adaptive Testing
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Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
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Schneider, M. Christina; Agrimson, Jared; Veazey, Mary – Educational Measurement: Issues and Practice, 2022
This paper presents results of a score interpretation study for a computer adaptive mathematics assessment. The study purpose was to test the efficacy of item developers' alignment of items to Range Achievement-Level Descriptors (RALDs; Egan et al.) against the empirical achievement-level alignment of items to investigate the use of RALDs as the…
Descriptors: Computer Assisted Testing, Mathematics Tests, Scores, Grade 3
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Ashley A. Grant; Michael A. Cook; Steven M. Ross – Center for Research and Reform in Education, 2023
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction on math achievement, as measured by SBA scores. We compared "striving learner" students who were assigned to use i-Ready Personalized Instruction (Treatment students) and "striving learner" students assigned to only receive i-Ready…
Descriptors: Mathematics Achievement, Elementary School Mathematics, Individualized Instruction, Influences
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Ashley A. Grant; Michael A. Cook; Steven M. Ross – Center for Research and Reform in Education, 2023
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction on math achievement, as measured by SBA scores. We compared students in schools using i-Ready Personalized Instruction school-wide (Treatment students) and students who only received i-Ready Diagnostic assessments and who were in schools only partially…
Descriptors: Elementary School Mathematics, Mathematics Achievement, Mathematics Tests, Individualized Instruction
Suter, Jayna – ProQuest LLC, 2018
The purpose of this quantitative correlational study was to ascertain the degree to which a relationship exists between teacher-reported technology integration in the classroom and student math achievement of classrooms containing third through fifth grade students in one Southern California school district, as measured by a standardized…
Descriptors: Technology Integration, Correlation, Mathematics Achievement, Achievement Tests
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Cook, Michael; Ross, Steven M. – Center for Research and Reform in Education, 2022
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction that met Curriculum Associates' recommended usage levels on mathematics achievement, as measured by the Massachusetts Comprehensive Assessment System (MCAS) mathematics assessment. This study compared mathematics achievement growth of students who used…
Descriptors: Mathematics Achievement, Mathematics Instruction, Program Evaluation, Individualized Instruction
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Hamhuis, Eva; Glas, Cees; Meelissen, Martina – British Journal of Educational Technology, 2020
Over the last two decades, the educational use of digital devices, including digital assessments, has become a regular feature of teaching in primary education in the Netherlands. However, researchers have not reached a consensus about the so-called "mode effect," which refers to the possible impact of using computer-based tests (CBT)…
Descriptors: Handheld Devices, Elementary School Students, Grade 4, Foreign Countries
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Fishbein, Bethany; Martin, Michael O.; Mullis, Ina V. S.; Foy, Pierre – Large-scale Assessments in Education, 2018
Background: TIMSS 2019 is the first assessment in the TIMSS transition to a computer-based assessment system, called eTIMSS. The TIMSS 2019 Item Equivalence Study was conducted in advance of the field test in 2017 to examine the potential for mode effects on the psychometric behavior of the TIMSS mathematics and science trend items induced by the…
Descriptors: Mathematics Achievement, Science Achievement, Mathematics Tests, Elementary Secondary Education
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National Assessment of Educational Progress (NAEP), 2020
The National Assessment of Educational Progress (NAEP), first administered in 1969, is the largest nationally representative and continuing assessment of what the nation's students know and can do in various subjects such as civics, geography, mathematics, reading, science, U.S. history, and writing. The results of NAEP are released as The…
Descriptors: National Competency Tests, Computer Assisted Testing, Grade 4, Grade 8
Randel, Bruce; Swain, Matthew; Norman Dvorak, Rebecca; Spratto, Elisabeth; Prendez, Jordan Yee – Online Submission, 2020
Curriculum Associates' "i-Ready® Personalized Instruction" ("i-Ready") is a supplemental, online personalized instruction program available for mathematics and reading. Prior research has indicated "i-Ready" has a positive impact on student achievement for students overall (e.g., Swain, Randel, & Norman Dvorak,…
Descriptors: Program Effectiveness, Grade 2, Grade 3, Grade 4
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National Assessment of Educational Progress (NAEP), 2016
The National Assessment of Educational Progress (NAEP) is the largest nationally representative assessment of what our nation's students know and can do in subjects such as the arts, mathematics, reading, and writing. NAEP collects and reports information on student trends and performance at the national, state, and district levels. NAEP releases…
Descriptors: National Competency Tests, Grade 4, Grade 8, Grade 12
Northwest Evaluation Association, 2016
This guide was created as a resource to help families better understand "Measures of Academic Progress"® (MAP®), and their child's results. The guide provides answers to a variety of questions such as: "What is MAP?"; "What does MAP measure?"; "How do schools and teachers use MAP scores?"; "Can MAP tell…
Descriptors: Scores, Academic Achievement, Achievement Tests, Reading Achievement
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