NotesFAQContact Us
Collection
Advanced
Search Tips
Back to results
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ1472557
Record Type: Journal
Publication Date: 2025
Pages: 17
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-1533-242X
Available Date: 0000-00-00
AI-Generated Feedback in English Writing Instruction for Language Learners: A Systematic Review
Reading Matrix: An International Online Journal, v25 n1 p51-67 2025
This systematic review examines 22 studies (2024-2025) on the use of generative AI, primarily ChatGPT, for providing feedback in English writing instruction for language learners. It identifies the types of feedback AI offers, its effectiveness relative to teacher and peer feedback, and perceptions from students and teachers. Findings show AI excels in addressing surface-level issues (grammar, vocabulary, structure) and is valued for speed and comprehensiveness. However, both students and teachers emphasize the continued importance of human feedback for deeper, contextual revisions. While educators recognize AI's potential to ease workloads and improve feedback timeliness, concerns about reliability and depth persist. The review recommends integrating AI feedback with teacher oversight, training in prompt literacy and feedback evaluation, and calls for further research on long-term impacts, scaffolding strategies, and ethical considerations.
Reading Matrix, Inc. University of South Florida Polytechnic, College of Human and Social Sciences, Division of Education, 3433 Winter Lake Road LMD 8038, Lakeland, FL 33805. Tel: 863-667-7712; Fax: 863-667-7098; e-mail: editors@readingmatrix.com; Web site: https://www.readingmatrix.com/
Publication Type: Journal Articles; Information Analyses
Education Level: Higher Education; Postsecondary Education; High Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A