37 citations · 56 across the 13 of their papers we have counts for
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cs.MA2026
REAT: A Reflective Experience-Augmented Tutoring Framework for Multi-turn Mathematical Instruction
Jianheng Zhou, Chaoli Zhang, Xingjun Wei +6
Current Large Language Models (LLMs) excel at solving complex mathematical problems, yet this proficiency does not inherently translate into effective tutoring. While advanced LLM…
cs.HC2026
Designing and Evaluating Next-Generation Learning Interfaces: Linking AI, HCI, and the Learning Sciences
Meng Xia, Yan Chen, Qiao Jin +5
This workshop addresses this gap by bringing together researchers and practitioners from AI, HCI, and the learning sciences to explore how interactive systems can better support le…
cs.AI2026
Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math
Dingjie Song, Tianlong Xu, Yi-Fan Zhang +6
Assessing student handwritten scratchwork is crucial for personalized educational feedback but presents unique challenges due to diverse handwriting, complex layouts, and varied pr…