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L. Hannah; E. E. Jang; M. Shah; V. Gupta – Language Assessment Quarterly, 2023
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,…
Descriptors: Validity, Automation, Scoring, Writing Assignments
Northey, Mary; McCutchen, Deborah; Sanders, Elizabeth A. – Reading and Writing: An Interdisciplinary Journal, 2016
Morphological skills have previously been found to reliably predict reading skill, including word reading, vocabulary, and comprehension. However, less is known about how morphological skills might contribute to writing skill, aside from its well-documented role in the development of spelling. This correlational study examines whether…
Descriptors: Essays, Childrens Writing, Morphology (Languages), Writing Skills
Wilson, Joshua; Olinghouse, Natalie G.; Andrada, Gilbert N. – Learning Disabilities: A Contemporary Journal, 2014
The current study examines data from students in grades 4-8 who participated in a statewide computer-based benchmark writing assessment that featured automated essay scoring and automated feedback. We examined whether the use of automated feedback was associated with gains in writing quality across revisions to an essay, and with transfer effects…
Descriptors: Writing Skills, Writing Ability, Feedback (Response), Computer Mediated Communication