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Peltier, Corey; Vannest, Kimberly J.; Tomaszewski, Brianne R.; Morin, Kristi; Sallese, Mary Rose; Pulos, Joshua M. – Exceptionality, 2022
The current study examined the criterion validity of a computer adaptive universal screener with an end-of-year state mathematics assessment using extant data provided by a local education agency. Participants included 1,195 third through eighth graders. Correlational analyses were used to report predictive and concurrent validity coefficients for…
Descriptors: Adaptive Testing, Computer Assisted Testing, Screening Tests, Mathematics Tests
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Wang, Yan; Murphy, Kevin B. – National Center for Education Statistics, 2020
In 2018, the National Center for Education Statistics (NCES) administered two assessments--the National Assessment of Educational Progress (NAEP) Technology and Engineering Literacy (TEL) assessment and the International Computer and Information Literacy Study (ICILS)--to two separate nationally representative samples of 8th-grade students in the…
Descriptors: National Competency Tests, International Assessment, Computer Literacy, Information Literacy
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Steven L. Wise; Megan R. Kuhfeld; Marlit Annalena Lindner – Applied Measurement in Education, 2024
When student achievement is assessed, we seek to elicit a student's maximum performance -- a goal requiring the assumption that the student is fully engaged. Otherwise, to the extent that disengagement occurs, test performance is likely to suffer. Effectively managing test-taking disengagement requires an understanding of the testing conditions…
Descriptors: Testing, Attention Span, Learner Engagement, Time Factors (Learning)
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Samsudin, Mohd Ali; Chut, Thodsaphorn Som; Ismail, Mohd Erfy; Ahmad, Nur Jahan – EURASIA Journal of Mathematics, Science and Technology Education, 2020
The current assessment is demanding for a more personalised and less-time consuming testing environment. Computer Adaptive Testing (CAT) is seemed as a more effective alternative testing method in comparison to conventional test in meeting the current standard of assessment. This research reports on the calibration of the released Grade 8 Science…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Science Tests
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Cui, Ying; Guo, Qi; Leighton, Jacqueline P.; Chu, Man-Wai – International Journal of Testing, 2020
This study explores the use of the Adaptive Neuro-Fuzzy Inference System (ANFIS), a neuro-fuzzy approach, to analyze the log data of technology-based assessments to extract relevant features of student problem-solving processes, and develop and refine a set of fuzzy logic rules that could be used to interpret student performance. The log data that…
Descriptors: Inferences, Artificial Intelligence, Data Analysis, Computer Assisted Testing
Mikheeva, Ekaterina, Ed.; Meyer, Sebastian, Ed. – International Association for the Evaluation of Educational Achievement, 2020
IEA's International Computer and Information Literacy Study (ICILS) 2018 is designed to assess how well students are prepared for study, work, and life in a digital world. The study measures international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and…
Descriptors: International Assessment, Computer Literacy, Information Literacy, Computer Assisted Testing
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Xin Wei – Educational Researcher, 2024
This study investigates the relationship between text-to-speech (TTS) usage and item-by-item performance in the 2017 eighth-grade National Assessment of Educational Progress (NAEP) math assessment, focusing on students with disabilities (SWDs), English language learners (ELLs), and their general education (GE) peers. Results indicate that all…
Descriptors: Assistive Technology, Students with Disabilities, English Language Learners, Regular and Special Education Relationship
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Cutumisu, Maria – Interactive Technology and Smart Education, 2018
Purpose: This study aims to examine the impact of the informational value of feedback choices (confirmatory versus critical feedback) on students' performance, their choice to revise and the time they spend designing posters and reading feedback in a computer-based assessment game, Posterlet. Design/methodology/approach: An empirical correlational…
Descriptors: Feedback (Response), Computer Games, Middle School Students, Grade 8
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Sahin, Melek Gülsah; Öztürk, Nagihan Boztunç – International Journal of Assessment Tools in Education, 2019
New statistical methods are being added to the literature as a result of scientific developments each and every day. This study aims at investigating one of these, Maximum Likelihood Score Estimation with Fences (MLEF) method, in ca-MST. The results obtained from this study will contribute to both national and international literature since there…
Descriptors: Maximum Likelihood Statistics, Computation, International Assessment, Foreign Countries
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Barana, Alice; Marchisio, Marina; Sacchet, Matteo – Education Sciences, 2021
The COVID-19 pandemic has evidenced a need for tools and methodologies to support students' autonomous learning and the formative assessment practices in distance education contexts, especially for students from challenging backgrounds. This paper proposes a conceptualization of Interactive Feedback (IF) for Mathematics, which is a step-by-step…
Descriptors: Interaction, Feedback (Response), Mathematics Instruction, Instructional Effectiveness
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Máñez, Ignacio; Vidal-Abarca, Eduardo; Kendeou, Panayiota; Martínez, Tomás – Metacognition and Learning, 2019
The goal of this study was to examine how students process formative feedback that included corrective and elaborative information in online question-answering tasks. Skilled and less-skilled comprehenders in grade 8 read texts and answered comprehension questions. Prior to responding, students were asked to select the textual information relevant…
Descriptors: Formative Evaluation, Feedback (Response), Questioning Techniques, Task Analysis
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
New York State Education Department, 2022
The instructions in this manual explain the responsibilities of school administrators for the New York State Testing Program (NYSTP) Grades 3-8 English Language Arts and Mathematics Field Tests, and the Elementary-level (Grade 5) and Intermediate-level (Grade 8) Science Field Tests. School administrators must be thoroughly familiar with the…
Descriptors: Testing Programs, Mathematics Tests, Test Format, Computer Assisted Testing
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Zavitkovsky, Paul – Center for Urban Education Leadership, 2022
After the passage of "No Child Left Behind," and especially after Obama-era Race to the Top initiatives, rising accountability for improved achievement and widespread dissatisfaction with the instructional value of statewide test reports led many school districts to purchase computer-adaptive "interim" testing systems. A common…
Descriptors: Formative Evaluation, Outsourcing, Outcomes of Education, Equal Education
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Solano-Flores, Guillermo; Shyyan, Vitaliy; Chía, Magda; Kachchaf, Rachel – International Multilingual Research Journal, 2023
We examined semiotic exchangeability in pop-up glossary translations and illustrations used as supports for second language learners (SLLs) in computer-administered mathematics tests. In a sample of 516 mathematics items, Grades 3-8 and 11, from a large-scale assessment program in the US, test developers identified terms that could be translated…
Descriptors: Mathematics Tests, Testing Accommodations, Test Items, Semiotics
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