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Sohyun An Kim; Rebecca Gotlieb; Laura V. Rhinehart; Veronica Pedroza; Maryanne Wolf – Journal of Psychoeducational Assessment, 2024
Rapid automatized naming (RAN) is a powerful predictor of reading fluency, and many digitized dyslexia screeners include RAN as an essential component. However, the validity of digitized RAN has not been established. Using a sample of 174 second-graders, this study tested (1) the comparability between paper and digitized versions of RAN and (2)…
Descriptors: Public Schools, Charter Schools, Private Schools, Elementary School Students
Mustafa Yildiz; Hasan Kagan Keskin; Saadin Oyucu; Douglas K. Hartman; Murat Temur; Mücahit Aydogmus – Reading & Writing Quarterly, 2025
This study examined whether an artificial intelligence-based automatic speech recognition system can accurately assess students' reading fluency and reading level. Participants were 120 fourth-grade students attending public schools in Türkiye. Students read a grade-level text out loud while their voice was recorded. Two experts and the artificial…
Descriptors: Artificial Intelligence, Reading Fluency, Human Factors Engineering, Grade 4
Nikola Ebenbeck; Morten Bastian; Andreas Mühling; Markus Gebhardt – Journal of Computer Assisted Learning, 2024
Background: Computerised adaptive tests (CATs) are tests that provide personalised, efficient and accurate measurement while reducing testing time, depending on the desired level of precision. Schools have different types of assessments that can benefit from a significant reduction in testing time to varying degrees, depending on the area of…
Descriptors: Computer Assisted Testing, Elementary Secondary Education, Public Schools, Special Schools
Ali Amjadi – Reading & Writing Quarterly, 2024
Over the last few years, technology has offered new ways of teaching and learning. Accordingly, educational systems are adopting what technology has purveyed to education. The abrupt upsurge of the COVID-19 pandemic also expedited this employment and impelled educational systems to shift to online teaching and learning. Consequently, the offline…
Descriptors: Test Format, Reading Comprehension, Computer Assisted Testing, Reading Strategies
David Allen; Rie Koizumi – Language Assessment Quarterly, 2024
"The English Speaking Achievement Test for Japanese Junior High School Students" (ESAT-J) was introduced to contribute to levelling up public English education in Tokyo in 2022. Critics, however, have made claims in the mass media against the use of the test and stakeholder groups have called for its cancellation. This paper presents an…
Descriptors: English (Second Language), Second Language Learning, Foreign Countries, Junior High School Students
Andrej Christian Lindholst; Tobias Bøgeskov Eriksen; Søren Valgreen Knudsen – Scandinavian Journal of Educational Research, 2024
Digital transformations within educational systems are recurrently justified by their promise to enhance learning activities and outcomes. We examine this claim in a study of pupils' perception and experiences with computer-based adaptive tests in higher classes in Danish public primary schools. The study relies on survey and interview data and…
Descriptors: Foreign Countries, Student Attitudes, Outcomes of Education, Student Participation