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Direct linkL. 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
Fletcher, Anna Katarina – Educational Research, 2016
Background: The active involvement of learners as critical, reflective and capable agents in the learning process is a core aim in contemporary education policy in Australia, and is regarded as a significant factor for academic success. However, within the relevant literature, the issue of positioning students as agents in the learning process has…
Descriptors: Foreign Countries, Scaffolding (Teaching Technique), Learning Theories, Self Evaluation (Individuals)
Andrade, Heidi L.; Du, Ying; Wang, Xiaolei – Educational Measurement: Issues and Practice, 2008
The purpose of this study was to investigate the effect of reading a model written assignment, generating a list of criteria for the assignment, and self-assessing according to a rubric, as well as gender, time spent writing, prior rubric use, and previous achievement on elementary school students' scores for a written assignment (N = 116).…
Descriptors: Elementary School Students, Models, Grade 3, Grade 4
