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National Academies Press, 2022
The National Assessment of Educational Progress (NAEP) -- often called "The Nation's Report Card" -- is the largest nationally representative and continuing assessment of what students in public and private schools in the United States know and can do in various subjects and has provided policy makers and the public with invaluable…
Descriptors: Costs, Futures (of Society), National Competency Tests, Educational Trends
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Bastianello, Tamara; Brondino, Margherita; Persici, Valentina; Majorano, Marinella – Journal of Research in Childhood Education, 2023
The present contribution aims at presenting an assessment tool (i.e., the TALK-assessment) built to evaluate the language development and school readiness of Italian preschoolers before they enter primary school, and its predictive validity for the children's reading and writing skills at the end of the first year of primary school. The early…
Descriptors: Literacy, Computer Assisted Testing, Italian, Language Acquisition
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Arce-Ferrer, Alvaro J.; Bulut, Okan – Journal of Experimental Education, 2019
This study investigated the performance of four widely used data-collection designs in detecting test-mode effects (i.e., computer-based versus paper-based testing). The experimental conditions included four data-collection designs, two test-administration modes, and the availability of an anchor assessment. The test-level and item-level results…
Descriptors: Data Collection, Test Construction, Test Format, Computer Assisted Testing
Durán, Richard P.; Zhang, Ting; Sañosa, David; Stancavage, Fran – American Institutes for Research, 2020
The National Assessment of Educational Progress's (NAEP's) transition to an entirely digitally based assessment (DBA) began in 2017. As part of this transition, new types of NAEP items have begun to be developed that leverage the DBA environment to measure a wider range of knowledge and skills. These new item types include the science…
Descriptors: National Competency Tests, Computer Assisted Testing, Science Tests, Test Items
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Kang, Hyeon-Ah; Zhang, Susu; Chang, Hua-Hua – Journal of Educational Measurement, 2017
The development of cognitive diagnostic-computerized adaptive testing (CD-CAT) has provided a new perspective for gaining information about examinees' mastery on a set of cognitive attributes. This study proposes a new item selection method within the framework of dual-objective CD-CAT that simultaneously addresses examinees' attribute mastery…
Descriptors: Computer Assisted Testing, Adaptive Testing, Cognitive Tests, Test Items
Gareis, Christopher R.; McMillan, James H.; Smucker, Amelie; Huang, Ke – Online Submission, 2021
The purpose of this study was to gauge the degree to which selected NWEA MAP Growth assessments are aligned to the Virginia Standards of Learning (SOL) and the extent to which MAP Growth reports can be used by school divisions to gauge student achievement relative to grade level and to identify learning gaps. The study was delimited to four MAP…
Descriptors: Achievement Tests, Academic Standards, State Standards, Alignment (Education)
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Mark L. Davison; David J. Weiss; Ozge Ersan; Joseph N. DeWeese; Gina Biancarosa; Patrick C. Kennedy – Grantee Submission, 2021
MOCCA is an online assessment of inferential reading comprehension for students in 3rd through 6th grades. It can be used to identify good readers and, for struggling readers, identify those who overly rely on either a Paraphrasing process or an Elaborating process when their comprehension is incorrect. Here a propensity to over-rely on…
Descriptors: Reading Tests, Computer Assisted Testing, Reading Comprehension, Elementary School Students
Anita B. Delahay; Marsha C. Lovett – Grantee Submission, 2018
Empirically supported multimedia learning (MML) principles [1] suggest effective ways to design instruction, generally for elements on the order of a graphic or an activity. We examined whether the positive impact of MML could be detected in larger instructional units from a MOOC. We coded instructional design (ID) features corresponding to MML…
Descriptors: Multimedia Instruction, Instructional Design, MOOCs, Computer Assisted Testing
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Kormos, Judit; Brunfaut, Tineke; Michel, Marije – Language Assessment Quarterly, 2020
Previous studies examined the association between motivational characteristics and language learning achievement, but considerably less is known about young language learners' task-specific motivation in assessment contexts. Our study investigated the task motivation of young learners of English when completing computer-administered integrated…
Descriptors: Computer Assisted Testing, English (Second Language), Second Language Learning, Student Motivation
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Yu, Fu-Yun – Interactive Learning Environments, 2019
In view of contribution-based pedagogy and observational learning theory, students' perceived uses, preferences, usage, and selection considerations with regard to citing peers' work were examined in an online learning environment targeting student-constructed tests. Data were collected from 84 fifth-grade students who participated in online…
Descriptors: Computer Assisted Testing, Student Developed Materials, Peer Evaluation, Test Items
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Lehane, Paula; Scully, Darina; O'Leary, Michael – Irish Educational Studies, 2022
In line with the widespread proliferation of digital technology in everyday life, many countries are now beginning to use computer-based exams (CBEs) in their post-primary education systems. To ensure that these CBEs are delivered in a manner that preserves their fairness, validity, utility and credibility, several factors pertaining to their…
Descriptors: Computer Assisted Testing, Secondary School Students, Culture Fair Tests, Test Validity
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Kim, Ahyoung Alicia; Tywoniw, Rurik L.; Chapman, Mark – Language Assessment Quarterly, 2022
Technology-enhanced items (TEIs) are innovative, computer-delivered test items that allow test takers to better interact with the test environment compared to traditional multiple-choice items (MCIs). The interactive nature of TEIs offer improved construct coverage compared with MCIs but little research exists regarding students' performance on…
Descriptors: Language Tests, Test Items, Computer Assisted Testing, English (Second Language)
Carroll, Ian A. – ProQuest LLC, 2017
Item exposure control is, relative to adaptive testing, a nascent concept that has emerged only in the last two to three decades on an academic basis as a practical issue in high-stakes computerized adaptive tests. This study aims to implement a new strategy in item exposure control by incorporating the standard error of the ability estimate into…
Descriptors: Test Items, Computer Assisted Testing, Selection, Adaptive Testing
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Lim, Hyojung – Language Testing in Asia, 2020
The current study aims to explore the cognitive validity of the iBT TOEFL reading test by investigating test takers' eye movements on individual items. It is assumed that successful test takers would adopt the intended reading processes, the same types and levels of cognitive processes that they would use for real-world reading tasks. Forty-seven…
Descriptors: Test Validity, High Stakes Tests, Second Language Learning, Language Tests
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Soland, James – Educational Measurement: Issues and Practice, 2019
As computer-based tests become more common, there is a growing wealth of metadata related to examinees' response processes, which include solution strategies, concentration, and operating speed. One common type of metadata is item response time. While response times have been used extensively to improve estimates of achievement, little work…
Descriptors: Test Items, Item Response Theory, Metadata, Self Efficacy
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