Generative AI offers more, but students revise less: comparing the effects of teacher and AI feedback on student essay revisions
Mohammadreza Farrokhnia; Saeed Latifi; Pantelis M. Papadopoulos; Loes Hogenkamp; Hannie Gijlers; Hassan Khosravi; Omid Noroozi · 2026 · International Journal of Educational Technology in Higher Education
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Abstract Providing high-quality feedback on student writing is essential yet increasingly difficult due to rising class sizes and limited instructional capacity. Generative AI (GenAI) offers a promising and scalable alternative, but its effectiveness compared to traditional teacher feedback, particularly across different prompting techniques, remains uncertain. This study employed a quantitative, randomized three-group experimental design with 70 graduate students to compare the effects of teacher feedback and GenAI feedback generated using two prompting techniques: Zero-shot and chain-of-thou
Abstract by Mohammadreza Farrokhnia; Saeed Latifi; Pantelis M. Papadopoulos; Loes Hogenkamp; Hannie Gijlers; Hassan Khosravi; Omid Noroozi, International Journal of Educational Technology in Higher Education (2026) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1186/s41239-026-00579-9