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Direct linkMustafa 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
Lindsay Pennington; Lily Potts; Janice Murray; Johanna Geytenbeek; Kate Laws; Jenefer Sargent; Michael Clarke; John Swettenham; Julie Lachkovic; Catherine Martin; Elaine McColl – International Journal of Language & Communication Disorders, 2025
Background: Current UK measures of early spoken language comprehension require manipulation of toys and/or verbal responses and are not accessible to children with severe motor impairments. The Computer-Based Instrument for Low motor Language Testing (C-BiLLT) (originally validated in Dutch) is a computerized test of spoken language comprehension…
Descriptors: Foreign Countries, Children, Motor Development, Psychomotor Skills
