AIED
Simulated Learners and Patients for Educational Practice
Thu Jul 2, 3:45 PM–5:00 PM · North 205
Synthetic Data & Simulated Learners Intelligent Tutoring Systems Generative AI & Large Language Models
★ Notable speakers
Masaki Uto
★
— Item response theory for automated essay scoring; Bayesian psychometrics; multidimensional IRT; neural AES
AIED64 (TL) | Technical | Long-paper session
3 talks in this session
DrawSim-PD: Simulating Student Science Drawings to Support NGSS-Aligned Teacher Diagnostic Reasoning
Arijit Chakma, Peng He, Honglu Liu, Zeyuan Wang, Tingting Li
LLM-based Virtual Standardized Patients with Response Excessiveness Suppression via Direct Preference Optimization for Medical Interview Examinations
Naoki Shindo, Masaki Uto
SimPath: Clinically Grounded AI Patients for Therapist Training
Vatsal Mehta, Zinan Zhang, Anushka Anand, Shreevidhya Shambanna, Akram Bayat