Previous work in English has found that the spelling difficulties of children with dyslexia affect the overall quality attributed to their written compositions. The aim of this study was to investigate whether different processes related to transcription, translation and ideas proposing/planning are affected in developmental dyslexia and to what…

This study investigated the strength of lexical and non-lexical processing among Arabic (L1) English (L3)-speaking children (fourth and fifth grades, N = 532) in two writing systems that vary in terms of transparency. Children were assessed using word reading, phonological and vocabulary measures. In Arabic, the study focused on standard form.…

This study provides the first large-scale quantitative exploration of mathematical language use in U.S. classrooms. Our approach employs natural language processing techniques to describe variation in the use of mathematical language in 1,657 fourth and fifth grade lessons by teachers and students in 317 classrooms in four districts over three…

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…

This study investigated the effects of exposure frequency, depth of processing, and activity repetition types on vocabulary learning. In total, 78 South Korean fifth-grade students were divided into four conditions. Students in each condition were asked to read a passage with four of the eight target words (exposure: four times) and the other four…

Many students may find math word problems uninteresting; therefore, lacking the motivation to solve them. The content in most math word problems in use today is outdated, deliberately generic, and does not fully engage students. The development of technologies that personalize math word problems seeks to improve the engagement of students.…

Machines have a long-demonstrated ability to find statistical relationships between qualities of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial intelligence, the potential of using machines to identify content-related writing trait criteria has been uncovered. This development is significant,…

Previous studies have found that phonological processing and vocabulary predict word reading. However, their predictive powers may vary according to reading experience and across scripts with different levels of transparency. In this study, the relationship between phonological processing, decoding, vocabulary and word reading was explored in two…

Bilingualism appears to be related to poor language and reading comprehension in the instructional language (L2). However, in the long term, an early age of second language acquisition (AoA) may produce higher levels of second language skills than a later onset of L2 exposure. Most studies on school-aged second language learners (L2 learners)…

Numerous studies have supported the simple view of reading by showing the significant predictive roles of oral language comprehension ability and decoding skills in the reading comprehension of monolinguals and second language learners. However, little is known about its applicability to young foreign language learners who do not have much access…

Language in education for children and youth from low-income communities of color, including those learning English as an additional language, has been fraught for decades with ideological entanglements, conceptual ambiguities, and empirical limitations. Meanwhile, the teacher learning challenge to implement equitable teaching practices remains…