Meeting Accreditation on a Deadline: Using Generative AI to Rapidly Develop a Graduate Course

Authors

Cory Knill, University of Michigan - Ann ArborFollow
Sean Devan, University of Michigan-Ann ArborFollow

Title - Alternative

Meeting Accreditation on a Deadline: Using Generative Artificial Intelligence to Rapidly Develop a C

Date Created

12-16-2025

Institution Type

Doctorate-granting university

Course Level

Graduate

Modality of Lesson

Hybrid

Category

Ideation and Structuring

Primary AI Tool Used

chatGPT and NotebookLM

Learning Objectives

Describe the "expert-in-the-loop" framework for integrating generative AI into course design while maintaining faculty oversight;

Identify specific applications of LLMs for developing key course components, such as an accredited syllabus, lecture outlines, and in-class activities;

Recognize the crucial role of pre-defined learning objectives in guiding AI-driven content generation to ensure pedagogical alignment.

Strategy Description

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.

Publisher

University of Central Florida Libraries

Keywords

Course and instructional design; Accreditation; Active learning; ChatGPT; NotebookLM

Subjects

Artificial intelligence--Educational applications; Computer-assisted instruction--Design; Computer-assisted instruction--Curricula--Planning; Computer-assisted instruction--Authorship; Lesson planning--Computer-assisted instruction

Type

Text; Document

Collection

Teaching Repository for AI-Infused Learning

Series

Ideation and Structuring

Audience

Faculty; Educators; Instructional designers; Administrators

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Recommended Citation

Knill, Cory and Devan, Sean, "Meeting Accreditation on a Deadline: Using Generative AI to Rapidly Develop a Graduate Course" (2025). Teaching Repository of AI-Infused Learning. 33.
https://stars.library.ucf.edu/traiil/33