REVA uses instructors' highlighting and edits to reorder AI-generated feedback reviews and propagate revisions, and a 12-instructor lab study reports higher feedback precision and recall than a baseline without these features.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.HC 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
REVA: Supporting LLM-Generated Programming Feedback Validation at Scale Through User Attention-based Adaptation
REVA uses instructors' highlighting and edits to reorder AI-generated feedback reviews and propagate revisions, and a 12-instructor lab study reports higher feedback precision and recall than a baseline without these features.