Post-generation control in AI-assisted math visual creation yields higher teacher ratings for predictability and correctness than pre- or mid-generation control, with qualitative trade-offs in agency and effort.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2verdicts
CONDITIONAL 2roles
background 1polarities
background 1representative citing papers
Code review agents achieve 45.20% merge rate on PRs versus 68.37% for humans, with 60.2% of agent-only closed PRs showing 0-30% signal quality.
citing papers explorer
-
When Should Teachers Control AI Generation for Mathematics Visuals?
Post-generation control in AI-assisted math visual creation yields higher teacher ratings for predictability and correctness than pre- or mid-generation control, with qualitative trade-offs in agency and effort.
-
From Industry Claims to Empirical Reality: An Empirical Study of Code Review Agents in Pull Requests
Code review agents achieve 45.20% merge rate on PRs versus 68.37% for humans, with 60.2% of agent-only closed PRs showing 0-30% signal quality.