Node-Sampling: adaptive multi-agent optimization in medical education
Layla Tabea Riemann
IntroductionDifferences in prior knowledge among incoming medical students pose a persistent challenge for universities. To promote more individualized and equitable preparation, a large language model-based learning platform is being developed at the University Medical Center Hamburg-Eppendorf. A central component of this platform is the automated generation of multiple-choice questions (MCQs) from curated medical materials. However, ensuring their educational quality remains difficult, particu