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,…

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…

Describes a Canadian study attempting to relate the motivating power of interest to children's writing performance by supplementing background knowledge with topic relevant information. Reports that children with tutorial support on high interest subjects performed no better than others. Concludes that the motivational power of interesting topics…