3 papers
cs.AI2026
Can AI Tools Transform Low-Demand Math Tasks? An Evaluation of Task Modification Capabilities
Danielle S. Fox, Brenda L. Robles, Elizabeth DiPietro Brovey +1
While recent research has explored AI tools' ability to classify the quality of mathematical tasks (arXiv:2603.03512), little is known about their capacity to increase the quality…
cs.CY2026
Baseline Performance of AI Tools in Classifying Cognitive Demand of Mathematical Tasks
Danielle S. Fox, Brenda L. Robles, Elizabeth DiPietro Brovey +1
Teachers face increasing demands on their time, particularly in adapting mathematics curricula to meet individual student needs while maintaining cognitive rigor. This study evalua…
cs.HC2025
From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation
Jie Cao, Chloe Qianhui Zhao, Xian Chen +4
Producing large volumes of high-quality, timely feedback poses significant challenges to instructors. To address this issue, automation technologies-particularly Large Language Mod…