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Ethan Roy; Mathieu Guillaume; Amandine Van Rinsveld; Project iLead Consortium; Bruce D. McCandliss – npj Science of Learning, 2025
Arithmetic fluency is regarded as a foundational math skill, typically measured as a single construct with pencil-and-paper-based timed assessments. We introduce a tablet-based assessment of single-digit fluency that captures individual trial response times across several embedded experimental contrasts of interest. A large (n = 824) cohort of…
Descriptors: Arithmetic, Mathematics Skills, Tablet Computers, Grade 3
Iwan A. J. Sianturi; Zaleha Ismail; Der-Ching Yang – Mathematics Education Research Journal, 2024
This study examines the conceptual understanding of numbers and operations among 372 fifth-grade students, based on their responses to an online three-tier test designed to assess their number sense, declarative knowledge, explanatory knowledge, and confidence. The results showed that most students had low performance and low number sense, with…
Descriptors: Numbers, Arithmetic, Mathematical Concepts, Concept Formation
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
Sibel Sadi Yilmaz – Shanlax International Journal of Education, 2023
The purpose of this study is to examine the views of the course teacher, students' and participant researcher's field notes about traditional (smart board, pen and paper, oral) and Web 2.0 supported (A Sample of Kahoot) formative assessment in 5th grade science course. The study employed case study design. The participants of the study were a…
Descriptors: Teacher Attitudes, Student Attitudes, Computer Assisted Testing, Formative Evaluation
Miao Li; Yueming Xi; Esther Geva; Rong Yan; Wei Zhao – Reading and Writing: An Interdisciplinary Journal, 2025
It has been suggested that the reading acceleration program (RAP) (Breznitz et al. in Nature Communications 4: 1486, 2013), in which participants are forced to read at a rate faster than their normal reading fluency rate, improves reading fluency and comprehension in alphabetic languages. However, its effectiveness has never been examined in…
Descriptors: Foreign Countries, Grade 5, Reading Instruction, English (Second Language)
Nagy, Gabriel; Ulitzsch, Esther; Lindner, Marlit Annalena – Journal of Computer Assisted Learning, 2023
Background: Item response times in computerized assessments are frequently used to identify rapid guessing behaviour as a manifestation of response disengagement. However, non-rapid responses (i.e., with longer response times) are not necessarily engaged, which means that response-time-based procedures could overlook disengaged responses.…
Descriptors: Guessing (Tests), Academic Persistence, Learner Engagement, Computer Assisted Testing
Turner, Megan I.; Van Norman, Ethan R.; Hojnoski, Robin L. – Journal of Psychoeducational Assessment, 2022
Star Math (SM) is a popular computer adaptive test (CAT) schools use to screen students for academic risk. Despite its popularity, few independent investigations of its diagnostic accuracy have been conducted. We evaluated the diagnostic accuracy of SM based upon vendor provided cut-scores (25th and 40th percentiles nationally) in predicting…
Descriptors: Accuracy, Adaptive Testing, Computer Assisted Testing, High Stakes Tests
Malena Manchado Porras; Inmaculada Menacho Jiménez; Jose Carlos Piñero-Charlo; María del Carmen Canto-López – European Journal of Science and Mathematics Education, 2023
Currently mathematics difficulties in schools are a major problem due to several factors. Some research suggest that mathematics teaching-learning methodology could be one of the causes. As a result, alternative teaching methods to the traditional approach (ciphers-based closed algorithm [CBC]) have emerged, such as numbers-based open algorithm…
Descriptors: Mathematics Instruction, Computation, Teaching Methods, Eye Movements
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
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
Chen, Dandan; Hebert, Michael; Wilson, Joshua – American Educational Research Journal, 2022
We used multivariate generalizability theory to examine the reliability of hand-scoring and automated essay scoring (AES) and to identify how these scoring methods could be used in conjunction to optimize writing assessment. Students (n = 113) included subsamples of struggling writers and non-struggling writers in Grades 3-5 drawn from a larger…
Descriptors: Reliability, Scoring, Essays, Automation
Goodwin, Amanda P.; Petscher, Yaacov; Tock, Jamie; McFadden, Sara; Reynolds, Dan; Lantos, Tess; Jones, Sara – Assessment for Effective Intervention, 2022
Assessment of language skills for upper elementary and middle schoolers is important due to the strong link between language and reading comprehension. Yet, currently few practical, reliable, valid, and instructionally informative assessments of language exist. This study provides validation evidence for Monster, P.I., which is a gamified,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Language Tests, Vocabulary
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
Pásztor, Attila; Magyar, Andrea; Pásztor-Kovács, Anita; Rausch, Attila – Journal of Intelligence, 2022
The aims of the study were (1) to develop a domain-general computer-based assessment tool for inductive reasoning and to empirically test the theoretical models of Klauer and Christou and Papageorgiou; and (2) to develop an online game to foster inductive reasoning through mathematical content and to investigate its effectiveness. The sample was…
Descriptors: Game Based Learning, Logical Thinking, Computer Assisted Testing, Models
Karta, I. Wayan; Farmasari, Santi; Ocampo, Darrel M. – Online Submission, 2023
This study intends to describe assessment strategies for young students' online learning. The participants in this descriptive qualitative study were 15 primary school principals and 35 teachers teaching Years 4 and 5 in urban and rural schools on the island of Lombok, West Nusa Tenggara Province, who volunteered their participation after…
Descriptors: Foreign Countries, Rural Schools, Urban Schools, Elementary School Students