Checklist
Use AI as a second reader, not the author of the repair
Fast feedback is useful; outsourced judgment is not the learning target.
When it fits
- AI can give unlimited language feedback and the temptation is to accept polished rewrites wholesale.
When to avoid it
- The 2026 meta-analysis finds modest average benefits and high heterogeneity. AI feedback is a supplement, not evidence that a particular model is a reliable teacher in every context.
Checklist
- My original attempt exists before AI feedback.
- The feedback target is explicit.
- AI explains rather than silently rewriting everything.
- I decide what to accept.
- I perform the revision.
- Important disputed claims are verified elsewhere.
Why it matters
Ask AI to diagnose, classify or explain a limited set of issues in your own draft. Require it to distinguish confidence from uncertainty and to show alternatives when style is involved. Decide which feedback to accept, then make the revision yourself. For important work, verify contested grammar, terminology or register against trusted references or human feedback.
An example
Ask for three coherence problems and two recurring grammar patterns in an English draft, then revise them yourself before requesting another review.
Check your result
The final text contains learner decisions that can be explained without asking AI to regenerate the answer.
Keep this limit in mind
- The 2026 meta-analysis finds modest average benefits and high heterogeneity. AI feedback is a supplement, not evidence that a particular model is a reliable teacher in every context.
Connected ideas
Useful withRewrite from the feedback, not from the corrected sentence
Evidence and sources
A 2026 three-level meta-analysis of AI-assisted feedback in L2 writing found a modest positive overall effect, strongest effects on emotional engagement, limited cognitive gains and high heterogeneity.
The category combines different AI systems and implementation designs; AI feedback should not be treated as a consistently superior replacement for human feedback.
The effects of AI-assisted feedback on students' perceptions, emotions, and learning outcomes in L2 writing: a three-level meta-analysis · Highlights and abstract