From Granular Revision Operations to Meaningful Revision Units: Evaluating LLMs for Revision Boundary Detection.

arXiv:2609.33720v1 Announce Type: cross Abstract: Revision traces provide valuable evidence about students' writing processes, but their usefulness for learning analytics depends on how individual revisions are represented. Automated draft-comparison methods o