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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
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)
Hossein Kargar Behbahani; Sedigheh Karimpour – Education and Information Technologies, 2025
This study examined the effect of mobile-mediated dynamic assessment on reading comprehension and reading fluency skills of Iranian L2 learners. With 50 Iranian L2 learners, randomly assigned to the experimental and control groups, a pretest-posttest control group design was used. Whereas the control group received traditional instructor…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Reading Comprehension
