3 papers
cs.HC2026
Exploring AI Peer in Collaborative Mathematics Learning
Yiran Lin, Ye Deng, Ziqi Pan +2
Artificial intelligence (AI) agents are increasingly explored as collaborative learning partners in mathematics education, yet it remains unclear what makes an AI recognizable as a…
cs.CL2025
THiNK: Can Large Language Models Think-aloud?
Yongan Yu, Mengqian Wu, Yiran Lin +1
Assessing higher-order thinking skills in large language models (LLMs) remains a fundamental challenge, especially in tasks that go beyond surface-level accuracy. In this work, we…
cs.AI2025
From Recall to Reasoning: Automated Question Generation for Deeper Math Learning through Large Language Models
Yongan Yu, Alexandre Krantz, Nikki G. Lobczowski
Educators have started to turn to Generative AI (GenAI) to help create new course content, but little is known about how they should do so. In this project, we investigated the fir…