A multimodal engagement predictor combined with CP-SAT seating optimization is reported to lift classroom engagement from 0.30 to 0.70, but the outcome is scored by the very model being optimized.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.AI 1years
2026 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
SetEasy: A Multi-Modal Classroom Engagement Assessment and Seating Optimization Framework
A multimodal engagement predictor combined with CP-SAT seating optimization is reported to lift classroom engagement from 0.30 to 0.70, but the outcome is scored by the very model being optimized.