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,…

The purpose of this study was to explore relationships between language variables and writing outcomes with linguistically diverse students in grades 3-5. The participants were 197 children from three schools in one district in the mid-Atlantic United States. We assessed students' vocabulary knowledge and morphological and syntactical skill as…

This collaborative research was carried out among 197 elementary school students, in the context of a rural Canadian school of the Quebec province. Several students of the school presented learning difficulties, mostly in writing. The teachers and the learning specialist decided to differentiate the groups in special subgroups of needs that met…