One aim of this article is to shift mindsets from the traditional identification of written language abilities that are "missing" in students with specific learning disabilities (SLDs) to writing assessment as the discovery of more complex language strengths foundational to success across disciplines. The multiple language-levels (MLL)…

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,…

Following professional development, 4 teachers implemented instructional lessons designed to improve the written expression of 6th- and 7th-grade struggling writers in inclusive, self-contained, and co-taught classrooms. A multiple-baseline study investigated the effects of a computer-based graphic organizer (CBGO) with embedded self-regulated…

Developed to evaluate secondary school students' writing fluency skills, this study is descriptive in nature and uses a mixed method approach. During the research, the researcher attempted to identify students' abilities to write in terms of quantity and complexity, on the one hand, and also attempted to identify findings on accuracy, the…