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Simon Ntumi – Discover Education, 2025
This study investigated the impact of AI-powered adaptive testing on student academic performance and test anxiety, comparing its effectiveness to traditional testing methods. Using a quantitative research approach, hierarchical regression analysis was employed to examine the influence of adaptive testing on student outcomes, controlling for…
Descriptors: Adaptive Testing, Computer Assisted Testing, Artificial Intelligence, Test Anxiety
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Van Norman, Ethan R.; Forcht, Emily R. – Assessment for Effective Intervention, 2023
This study explored the validity of growth on two computer adaptive tests, Star Reading and Star Math, in explaining performance on an end-of-year achievement test for a sample of students in Grades 3 through 6. Results from quantile regression analyses indicate that growth on Star Reading explained a statistically significant amount of variance…
Descriptors: Test Validity, Computer Assisted Testing, Adaptive Testing, Grade Prediction
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
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Seung Won Park; Moon-Heum Cho; Seongmi Lim; Seokwon Hwang – European Journal of Psychology of Education, 2024
Although one of the challenges in college remedial mathematics courses involves dealing with negative emotions adversely impacting student achievement, little empirical research has been conducted to examine the factors contributing to the formation of such emotions in these settings. The purpose of this study was to examine whether background…
Descriptors: Public Colleges, Mathematics Education, Remedial Mathematics, Negative Attitudes
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Lumbini Barua; Barbara Lockee – TechTrends: Linking Research and Practice to Improve Learning, 2025
The article highlights the growing significance of flexible assessment in higher education as institutions adapt to the increasingly diverse needs of their student populations. The demand for customizable educational experiences, heightened by the COVID-19 pandemic, has made flexibility in assessment essential for sustaining and improving student…
Descriptors: College Faculty, College Students, Adaptive Testing, Alternative Assessment
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Abidin, Aang Zainul; Istiyono, Edi; Fadilah, Nunung; Dwandaru, Wipsar Sunu Brams – International Journal of Evaluation and Research in Education, 2019
Classical assessments that are not comprehensive and do not distinguish students' initial abilities make measurement results far from the actual abilities. This study was conducted to produce a computerized adaptive test for physics critical thinking skills (CAT-PhysCriTS) that met the feasibility criteria. The test was presented for the physics…
Descriptors: Foreign Countries, High School Students, Grade 11, Physics
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Van Norman, Ethan R.; Nelson, Peter M.; Parker, David C. – School Psychology Quarterly, 2017
Computer adaptive tests (CATs) hold promise to monitor student progress within multitiered systems of support. However, the relationship between how long and how often data are collected and the technical adequacy of growth estimates from CATs has not been explored. Given CAT administration times, it is important to identify optimal data…
Descriptors: Computer Assisted Testing, Progress Monitoring, Grade 4, Grade 5
NWEA, 2017
Stepstone's educational leaders knew they needed a research-based assessment to support differentiation and track performance against rigorous state standards. They chose computer adaptive MAP® Growth™ K-2 to keep the team's mix of face-to-face and technology-based instruction focused on student learning and growth. MAP Growth K-2 reinforces…
Descriptors: Achievement Tests, Achievement Gains, Academic Achievement, Charter Schools
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Keller-Margulis, Milena; McQuillin, Samuel D.; Castañeda, Juan Javier; Ochs, Sarah; Jones, John H. – Journal of Applied School Psychology, 2018
Multitiered systems of support depend on screening technology to identify students at risk. The purpose of this study was to examine the use of a computer-adaptive test and latent class growth analysis (LCGA) to identify students at risk in reading with focus on the use of this methodology to characterize student performance in screening.…
Descriptors: At Risk Students, Multivariate Analysis, Adaptive Testing, Computer Assisted Testing
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Thissen, David – Journal of Educational and Behavioral Statistics, 2016
David Thissen, a professor in the Department of Psychology and Neuroscience, Quantitative Program at the University of North Carolina, has consulted and served on technical advisory committees for assessment programs that use item response theory (IRT) over the past couple decades. He has come to the conclusion that there are usually two purposes…
Descriptors: Item Response Theory, Test Construction, Testing Problems, Student Evaluation
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Bernard, Robert M.; Borokhovski, Eugene; Schmid, Richard F.; Waddington, David I.; Pickup, David – Campbell Systematic Reviews, 2017
Research evidence concerning the effects of adaptive teaching and individualized learning remain relatively inconclusive, while there is obviously a need for better understanding how K-12 formal education may be more successful in addressing students' personal needs and interests, accounting for their diverse abilities with the main goal of…
Descriptors: Literature Reviews, Individualized Instruction, Adaptive Testing, Student Centered Learning
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Lane, Suzanne; Leventhal, Brian – Review of Research in Education, 2015
This chapter addresses the psychometric challenges in assessing English language learners (ELLs) and students with disabilities (SWDs). The first section addresses some general considerations in the assessment of ELLs and SWDs, including the prevalence of ELLs and SWDs in the student population, federal and state legislation that requires the…
Descriptors: Psychometrics, Evaluation Problems, English Language Learners, Disabilities
Cronin, John; Jensen, Nate – Northwest Evaluation Association, 2014
On August 7th, 2013, the New York State Education Commissioner, John King, announced the initial results of the state's new assessment, which was designed to measure college and career readiness relative to the Common Core Learning Standards. Commissioner King noted that the proficiency rates on these assessments were significantly lower than…
Descriptors: Academic Achievement, Academic Standards, State Standards, College Readiness
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Khunkrai, Naruemon; Sawangboon, Tatsirin; Ketchatturat, Jatuphum – Educational Research and Reviews, 2015
The aim of this research is to study the accurate prediction of comparing test information and evaluation result by multidimensional computerized adaptive scholastic aptitude test program used for grade 9 students under different reviewing test conditions. Grade 9 students of the Secondary Educational Service Area Office in the North-east of…
Descriptors: Foreign Countries, Secondary School Students, Grade 9, Computer Assisted Testing
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Symes, Wendy; Putwain, David W. – British Journal of Educational Psychology, 2016
Background: Prior to high-stakes examinations, teachers may use value-promoting messages (VPMs) to communicate to students the value and importance of their forthcoming examinations in the hope that they will adopt adaptive learning and study behaviours. These messages can focus on achieving success (gain-framed) or avoiding failure (loss-framed).…
Descriptors: Secondary School Students, Student Characteristics, Test Preparation, Adaptive Testing
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