Connecting Student Feedback Understanding to Gains in Argumentative Writing and Revision

Diane Litman; Zhexiong Liu; Tianwen Li; Lindsay Clare Matsumura; Richard Correnti; Elaine Wang

Connecting Student Feedback Understanding to Gains in Argumentative Writing and Revision

Diane Litman, Zhexiong Liu, Tianwen Li, Lindsay Clare Matsumura, Richard Correnti, Elaine Wang

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Abstract

While automated writing evaluation (AWE) systems typically assess essay quality, we develop a process-oriented approach assessing revision alignment with feedback. Classroom deployments show that student perceptions of AWE feedback correlate with writing improvement. Furthermore, feedback designed to build revision knowledge can enhance student outcomes, shifting focus from product to process.

Anthology ID:: 2026.aimecon-main.6
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:: 43–54
Language:
URL:: https://aclanthology.org/2026.aimecon-main.6/
DOI:
Bibkey:
Cite (ACL):: Diane Litman, Zhexiong Liu, Tianwen Li, Lindsay Clare Matsumura, Richard Correnti, and Elaine Wang. 2026. Connecting Student Feedback Understanding to Gains in Argumentative Writing and Revision. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 43–54, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):: Connecting Student Feedback Understanding to Gains in Argumentative Writing and Revision (Litman et al., AIME-Con 2026)
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PDF:: https://aclanthology.org/2026.aimecon-main.6.pdf

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@inproceedings{litman-etal-2026-connecting,
    title = "Connecting Student Feedback Understanding to Gains in Argumentative Writing and Revision",
    author = "Litman, Diane  and
      Liu, Zhexiong  and
      Li, Tianwen  and
      Matsumura, Lindsay Clare  and
      Correnti, Richard  and
      Wang, Elaine",
    editor = "Wilson, Joshua  and
      Ormerod, Christopher  and
      Beiting-Parrish, Magdalen",
    booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference ({AIME}-Con): Full Papers",
    month = oct,
    year = "2026",
    address = "Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States",
    publisher = "National Council on Measurement in Education (NCME)",
    url = "https://aclanthology.org/2026.aimecon-main.6/",
    pages = "43--54",
    ISBN = "979-8-9983004-0-0",
    abstract = "While automated writing evaluation (AWE) systems typically assess essay quality, we develop a process-oriented approach assessing revision alignment with feedback. Classroom deployments show that student perceptions of AWE feedback correlate with writing improvement. Furthermore, feedback designed to build revision knowledge can enhance student outcomes, shifting focus from product to process."
}

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%0 Conference Proceedings
%T Connecting Student Feedback Understanding to Gains in Argumentative Writing and Revision
%A Litman, Diane
%A Liu, Zhexiong
%A Li, Tianwen
%A Matsumura, Lindsay Clare
%A Correnti, Richard
%A Wang, Elaine
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-0-0
%F litman-etal-2026-connecting
%X While automated writing evaluation (AWE) systems typically assess essay quality, we develop a process-oriented approach assessing revision alignment with feedback. Classroom deployments show that student perceptions of AWE feedback correlate with writing improvement. Furthermore, feedback designed to build revision knowledge can enhance student outcomes, shifting focus from product to process.
%U https://aclanthology.org/2026.aimecon-main.6/
%P 43-54

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Markdown (Informal)

[Connecting Student Feedback Understanding to Gains in Argumentative Writing and Revision](https://aclanthology.org/2026.aimecon-main.6/) (Litman et al., AIME-Con 2026)

Connecting Student Feedback Understanding to Gains in Argumentative Writing and Revision (Litman et al., AIME-Con 2026)

ACL

Diane Litman, Zhexiong Liu, Tianwen Li, Lindsay Clare Matsumura, Richard Correnti, and Elaine Wang. 2026. Connecting Student Feedback Understanding to Gains in Argumentative Writing and Revision. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 43–54, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).