This entry details an "expert-in-the-loop" framework for rapidly developing an accredited, graduate-level Health Physics course under significant time constraints. The strategy utilized Large Language Models to generate foundational course materials including the syllabus, lecture outlines, and in-class simulations, which were then rigorously curated by faculty. This human-AI collaborative approach enhanced efficiency, enabling instructors to focus more on high-impact, active learning experiences for students.
Knill et al. (2025) studied this question.