Toward a Benchmark for Controllable Simulation of Imperfect Students with Large Language Models 事件

Toward a Benchmark for Controllable Simulation of Imperfect Students with Large Language Models arXiv:2605.25601v1 Announce Type: new Abstract: Teacher education requires deliberate practice with learners who exhibit identifiable strengths, weaknesses, and partial mastery. Large language models could support such practice by simulating students with known skill components, enabling teachers to rehearse explanations, diagnoses, and instructional responses. For this purpose, however, the central