ENL students were near-evenly split in preference between AI-generated and human tutor feedback¶
Claim · All claims
Evidence · 1 study · associationalr1·q2
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
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the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Across six weeks, weekly survey respondents split almost evenly between preferring human tutor feedback and AI-generated feedback, with AI slightly ahead on the forced-choice item. → Escalante 2023
Evidence¶
Escalante 2023¶
Escalante, J., Pack, A., & Barrett, A. (2023). AI-generated feedback on writing: insights into efficacy and ENL student preference. International Journal of Educational Technology in Higher Education, 20:57. https://doi.org/10.1186/s41239-023-00425-2
q2 · i? · associational · r1
Study 2 weekly Qualtrics survey with 43 ENL students receiving both feedback types; forced-choice item 9 averaged near the 1.5 even-split point (grand mean 1.53). "The six-week average of the number of students that preferred feedback from human tutors was 18" vs 19.667 for AI.
"The six-week average of the number of students that preferred feedback from human tutors was 18, which was slightly lower than the average of those that preferred AI-generated feedback (19.667)"
Discussion¶
Related Claims¶
- AI-generated (GPT-4) feedback produced no greater linguistic progress than human tutor feedback among ENL students over six weeks — related
- Feedback source (human tutor vs GPT-4) had no significant effect on ENL students' posttest writing scores — related
- Students who preferred human tutor feedback cited face-to-face interaction, engagement, follow-up questions, and speaking practice — related
- Students who preferred AI feedback cited clarity, understandability, consistency, specificity, and 24/7 availability — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
enl-near-even-split-ai-human-feedback-preference |
title |
ENL students were near-evenly split in preference between AI-generated and human tutor feedback |
description |
ENL students were near-evenly split in preference between AI-generated and human tutor feedback |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2023 |
generated |
by process:wiki-ingest on 2026-10-15 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — escalante-2023 |
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