Using automated written corrective feedback in the writing classrooms: effects on L2 writing accuracy. Issue 4 (4th May 2023)

• Record Type: Journal Article
• Authors: Barrot, Jessie S.
• Is Part Of: Computer assisted language learning. Volume 36:Issue 4(2023)
• Page Start: 584
• Page End: 607
• Publication Date: 2023-05-04
• Subjects: Automated writing evaluation -- automated written corrective feedback -- computer-assisted language learning -- Grammarly -- L2 writing; Language and languages -- Computer-assisted instruction -- Periodicals; 418.00285
• DOI: 10.1080/09588221.2021.1936071
• Languages: English
• ISSNs: 0958-8221

Abstract

Abstract: Despite the building up of research on the adoption of automated writing evaluation (AWE) systems, the differential effects of automated written corrective feedback (AWCF) on errors with different severity levels and gains across writing tasks remain unclear. Thus, this study fills in the vacuum by examining how AWCF through Grammarly affects college students' overall writing accuracy and errors with different severity levels. Using a quasi-experimental design, the findings demonstrate the potentials of AWCF in improving students' writing accuracy. The results were primarily attributed to the ability of AWCF to promote noticing, provide an adaptive metalinguistic explanation, and engage students in self-directed learning. Nonetheless, some challenges were reported, such as overcorrection, cognitive overload, and limited metalinguistic explanation. Implications for writing pedagogy and future studies are discussed.