Large language models are able to identify pedagogical intent in course packages, such as Common Cartridge files, and use that intent to generate structured data that supports systematic course revision and redesign. This session demonstrates an AI-assisted workflow to import existing courses, analyze content, determine instructional function, and transform materials into new templates and adjusted session lengths before exporting revised courses back into a learning management system. By focusing on what instructional elements are designed to accomplish, this approach enables scalable redesign, visual standardization, and enhancements that support Universal Design for Learning, while preserving human instructional judgment.#AI-assisted-workflows #Course-revision-and-redesign #Instructional-design
