AI integration in writing skills of MUET students: a quasi-experimental study
This quasi-experimental study examines the effects of artificial intelligence (AI)-assisted feedback on Malaysian University English Test (MUET) writing performance among Form 6 students. A sample of 80 students from two Malaysian secondary schools who were matched in their Lower 6 examination results was randomly assigned to experimental (n=40, AI-assisted feedback) and control groups (n=40, traditional teacher feedback). Both groups received the same classroom writing instruction in a four-week intervention, and only the feedback provision channels are different. The experimental group employed AI writing supports (Grammarly, Hemingway Editor, QuillBot) which generated real-time automatic feedback on grammar, cohesio,organization and lexis diversity. Conventional written teacher feedback was provided to the control group 48-72 hours after attending standard MUET preparation programme.
Authors
- Peter Ong
Publication Details
- Journal
- UiTM Institutional Repositories (Universiti Teknologi MARA)
- Published
- 2025-12-01
- DOI
- https://doi.org/10.24191/jca.v2i2.5886
- Primary Topic
- EFL/ESL Teaching and Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00