Student engagement with automated written corrective feedback (AWCF) provided by Grammarly: A multiple case study

2020/03/18 by Svetlana Koltovskaia · 8 citations
Arts and Humanities · Psychology · #EFL/ESL Teaching and Learning #Educational and Psychological Assessments #Innovative Teaching and Learning Methods

paper · doi:10.1016/j.asw.2020.100450

openalex publication_date 2020/03/18 · crossref created 2020/03/18 · crossref issued 2020/04/01 · crossref published 2020/04/01 · crossref published-print 2020/04/01 · openalex created_date 2025/10/10 · crossref deposited 2025/10/21 · crossref indexed 2026/07/29 · openalex updated_date 2026/07/30

Citations

• School Engagement: Potential of the Concept, State of the Evidence
• Automated writing evaluation for formative assessment of second language writing: investigating the accuracy and usefulness of feedback as part of argument-based validation
• In the face of fallible AWE feedback: how do students respond?

Cited by

• Automated writing evaluation use in second language classrooms: A research synthesis
• Learning Styles, Engagement and Anxiety in AI‐Mediated Writing: A Multimodal Feedback Study
• Exploring second language writers’ engagement with ChatGPT feedback: Revision behaviors and perceptions
• Appropriating automated feedback in L2 writing: experiences of Chinese EFL student writers
• Using automated written corrective feedback in the writing classrooms: effects on L2 writing accuracy
• How Teacher and Grammarly Feedback Complement One Another in Myanmar EFL Students’ Writing
• How effectively can EFL students use automated written corrective feedback (AWCF) in research writing?
• Exploring the potential of using an AI language model for automated essay scoring