3 papers
cs.HC2026
Distilling Black-Box Machine Learning into a Small, Self-Explaining Language Model for Learning Analytics
Chenguang Pan, Airui Meng, Youmi Suk
Learning analytics increasingly relies on flexible machine learning (ML), but the model opacity and the burden of deployment prevent these tools from reaching educational practice.…
stat.ME2026
Generative AI-Based Monte Carlo Simulation for Method Evaluation Using Synthetic Multilevel Data
Youmi Suk, Chenguang Pan, Weixuan Xiao
The role of AI-generated synthetic data has recently been expanded to support realistic Monte Carlo simulations. However, guidance is limited on generating data with multilevel str…
cs.AI2026
EDM-ARS: A Domain-Specific Multi-Agent System for Automated Educational Data Mining Research
Chenguang Pan, Zhou Zhang, Weixuan Xiao +1
In this technical report, we present the Educational Data Mining Automated Research System (EDM-ARS), a domain-specific multi-agent pipeline that automates end-to-end educational d…