From Revision to Transfer: Longitudinal Effects of LLM Writing Feedback

Yigal Attali, Bryan Smith, Kai-Ling Lo, Andrew Runge, Jacqueline Church


Abstract
Prior automated writing feedback systems have shown limited evidence of transferable writing development. This pilot longitudinal study examined whether repeated interaction with process-oriented LLM feedback improved independent writing performance over time. Results suggest positive transfer effects across novel writing tasks, supporting the potential developmental role of LLM-mediated feedback.
Anthology ID:
2026.aimecon-main.30
Volume:
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
Month:
October
Year:
2026
Address:
Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
Editors:
Joshua Wilson, Christopher Ormerod, Magdalen Beiting-Parrish
Venue:
AIME-Con
SIG:
Publisher:
National Council on Measurement in Education (NCME)
Note:
Pages:
267–279
Language:
URL:
https://aclanthology.org/2026.aimecon-main.30/
DOI:
Bibkey:
Cite (ACL):
Yigal Attali, Bryan Smith, Kai-Ling Lo, Andrew Runge, and Jacqueline Church. 2026. From Revision to Transfer: Longitudinal Effects of LLM Writing Feedback. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 267–279, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):
From Revision to Transfer: Longitudinal Effects of LLM Writing Feedback (Attali et al., AIME-Con 2026)
Copy Citation:
PDF:
https://aclanthology.org/2026.aimecon-main.30.pdf