Steve Graham
Author directory2026
TRACE: Automated Multi-Granularity Analysis of Text Revision
Yu Tian | Katerina Christhilf | Andrew Potter | Jessica Early | Steve Graham | Danielle McNamara
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress
Yu Tian | Katerina Christhilf | Andrew Potter | Jessica Early | Steve Graham | Danielle McNamara
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress
This paper introduces TRACE, an automated framework for analyzing textual revisions across drafts. TRACE aligns initial and revised texts and infers interpretable revision operations, such as insert, delete, replace, and move. TRACE supports AI-powered revision analytics, writing assessment, automated feedback, and studies of human–AI writing collaboration.