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James Pengelley; Peter R. Whipp; Anabela Malpique – Technology, Pedagogy and Education, 2025
The rising use of technology in classrooms has also brought with it a concomitant wave of computer-based assessments. The argument for computer-based testing is often framed in terms of efficiency and data management: computer-based tests facilitate more efficient processing of test data and the rate at which feedback can be leveraged for student…
Descriptors: Cognitive Processes, Paper and Pencil Tests, Computer Assisted Testing, Student Evaluation
Ben Erwin; Shayna Levitan – Education Commission of the States, 2024
Summative assessments measure students' mastery of grade-level academic standards and skills in specific content areas after learning. State summative assessment systems provide students and families, school and district leaders, and state policymakers with valuable data to help understand student progress and school quality. This Policy Guide…
Descriptors: Summative Evaluation, Student Evaluation, Federal State Relationship, Public Policy
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Wyse, Adam E.; McBride, James R. – Measurement: Interdisciplinary Research and Perspectives, 2022
A common practical challenge is how to assign ability estimates to all incorrect and all correct response patterns when using item response theory (IRT) models and maximum likelihood estimation (MLE) since ability estimates for these types of responses equal -8 or +8. This article uses a simulation study and data from an operational K-12…
Descriptors: Scores, Adaptive Testing, Computer Assisted Testing, Test Length
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Alhadi, Moosa; Zhang, Dake; Wang, Ting; Maher, Carolyn A. – Computers in the Schools, 2023
This research synthesizes studies that used a Digitalized Interactive Component (DIC) to assess K-12 student performance during Computer-based-Assessments (CBAs) in mathematics. A systematic search identified ten studies, including four that provided language assistance and six that provided response-construction support. We reported on the one…
Descriptors: Computer Assisted Testing, Mathematics Tests, Student Evaluation, Elementary Secondary Education
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Wyse, Adam E. – Educational and Psychological Measurement, 2021
An essential question when computing test--retest and alternate forms reliability coefficients is how many days there should be between tests. This article uses data from reading and math computerized adaptive tests to explore how the number of days between tests impacts alternate forms reliability coefficients. Results suggest that the highest…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Reliability, Reading Tests
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Guzman-Orth, Danielle; Steinberg, Jonathan; Albee, Traci – Language Testing, 2023
Standardizing accessible test design and development to meet students' individual access needs is a complex task. The following study provides one approach to accessible test design and development using participatory design methods with school community members. Participatory research provides opportunities to empower collaborators by co-creating…
Descriptors: English Language Learners, Blindness, Visual Impairments, Testing Accommodations
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Wise, Steven L.; Soland, James; Dupray, Laurence M. – Journal of Applied Testing Technology, 2021
Technology-Enhanced Items (TEIs) have been purported to be more motivating and engaging to test takers than traditional multiple-choice items. The claim of enhanced engagement, however, has thus far received limited research attention. This study examined the rates of rapid-guessing behavior received by three types of items (multiple-choice,…
Descriptors: Test Items, Guessing (Tests), Multiple Choice Tests, Achievement Tests
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MacGregor, David; Yen, Shu Jing; Yu, Xin – Language Assessment Quarterly, 2022
How can one construct a test that provides accurate measurements across the range of performance levels while providing adequate coverage of all of the critical areas of the domain, yet that is not unmanageably long? This paper discusses the approach taken in a linear test of academic English language, and how the transition to a computer-based…
Descriptors: Language Tests, Language Proficiency, Computer Assisted Testing, Adaptive Testing
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Marinho, Nathalie L.; Witmer, Sara E.; Jess, Nicole; Roschmann, Sarina – Language Assessment Quarterly, 2023
The use of accommodations is often recommended to remove barriers to academic testing among English Learners (ELs). However, it is unclear whether accommodations are particularly effective at improving ELs' test scores. A growing foundation of empirical work has explored this topic. We conducted a meta-analysis that examined several possible…
Descriptors: English Language Learners, Testing Accommodations, Barriers, Scores
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Ersan, Ozge; Berry, Yufeng – Educational Measurement: Issues and Practice, 2023
The increasing use of computerization in the testing industry and the need for items potentially measuring higher-order skills have led educational measurement communities to develop technology-enhanced (TE) items and conduct validity studies on the use of TE items. Parallel to this goal, the purpose of this study was to collect validity evidence…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Elementary Secondary Education, Accountability
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Ben Backes; James Cowan – Grantee Submission, 2024
We investigate two research questions using a recent statewide transition from paper to computer-based testing: first, the extent to which test mode effects found in prior studies can be eliminated in large-scale administration; and second, the degree to which online and paper assessments offer different information about underlying student…
Descriptors: Computer Assisted Testing, Test Format, Differences, Academic Achievement
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Ben Backes; James Cowan – Applied Measurement in Education, 2024
We investigate two research questions using a recent statewide transition from paper to computer-based testing: first, the extent to which test mode effects found in prior studies can be eliminated; and second, the degree to which online and paper assessments offer different information about underlying student ability. We first find very small…
Descriptors: Computer Assisted Testing, Test Format, Differences, Academic Achievement
He, Wei – NWEA, 2022
To ensure that student academic growth in a subject area is accurately captured, it is imperative that the underlying scale remains stable over time. As item parameter stability constitutes one of the factors that affects scale stability, NWEA® periodically conducts studies to check for the stability of the item parameter estimates for MAP®…
Descriptors: Achievement Tests, Test Items, Test Reliability, Academic Achievement
Florida Department of Education, 2022
All Florida schools teach the Florida Standards in English Language Arts (ELA) and Mathematics and the Next Generation Sunshine State Standards (NGSSS) in Science and Social Studies. Student performance provides important information to parents/guardians, teachers, policy makers, and the general public regarding how well students are learning.…
Descriptors: Educational Assessment, State Standards, Language Arts, Mathematics
Jimenez, Laura; Modaffari, Jamil – Center for American Progress, 2021
Assessments are a way for stakeholders in education to understand what students know and can do. They can take many forms, including but not limited to paper and pencil or computer-adaptive formats. However, assessments do not have to be tests in the traditional sense at all; rather, they can be carried out through teacher observations of students…
Descriptors: Equal Education, Elementary Secondary Education, Futures (of Society), Computer Assisted Testing
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