From Crafting Text to Crafting Thought: Grounding AI Writing Support to Writing Center Pedagogy

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Authors: Yijun Liu, John Gallagher, Sarah Sterman, Tal August
Cited by: 0

Abstract

As AI writing tools evolve from fixing surface errors to creating language with writers, new capabilities raise concerns about negative impacts on student writers, such as replacing their voices and undermining critical thinking skills. To address these challenges, we look at a parallel transition in university writing centers from focusing on fixing errors to preserving student voices. We develop design guidelines informed by writing center literature and interviews with 10 writing tutors. We illustrate these guidelines in a prototype AI tool, Writor. Writor helps writers revise text by setting goals, providing balanced feedback, and engaging in conversations without generating text verbatim. We conducted an expert review with 30 writing instructors, tutors, and AI researchers on Writor to assess the pedagogical soundness, alignment with writing center pedagogy, and integration contexts. We distill our findings into design implications for future AI writing feedback systems, including designing for trust among AI-skeptical educators.

Fields of Study & Subjects

Artificial Intelligence in Education Intelligent Tutoring Systems and Adaptive Learning Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
arXiv (Cornell University)
Publication date
3 February 2026
Document type
Preprint