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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
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
Rowland, Charity – Communication Disorders Quarterly, 2011
Many children born with severe and multiple disabilities have complex communication needs and may use no speech or only minimal speech to communicate. Meaningful assessment of their expressive skills to identify communication strengths along a developmental trajectory is an essential first step toward appropriate intervention. This article…
Descriptors: Multiple Disabilities, Databases, Communication Skills, Severe Disabilities