Associate Professor, School of Education
Exploring Generative AI for Learning Design
What You'll Learn
- Understand how generative AI can serve as a design partner within the learning design process
- Identify potential opportunities and applications of generative AI to aid in course design activities and tasks
3 Modules
6 Hours
2 hrs per module (approx.)
Rating
About Exploring Generative AI for Learning Design
With “Exploring Generative AI for Learning Design,” you will learn how to use generative AI as a partner in learning design. Throughout the course, we will explore how to incorporate generative AI into several design frameworks. By focusing on the key stages of the learning design process, you can identify areas where generative AI might be most helpful or impactful as you design a learning experience. Explore ways you can use generative AI to help you brainstorm new ideas, create learner personas, draft course outlines, and more. As you reach the end of the course, you will learn how to use generative AI within your own instructional design process.
This is the first course in the series "Generative AI as a Learning Design Partner," which introduces generative AI to the learning design process to support the creation of engaging instructional design.
For educators in the state of Michigan: This series, "Generative AI as a Learning Design Partner," is approved in the state of Michigan for a maximum of 15 State Continuing Education Clock Hours (SCECHs) for educators. The successful completion of all 3 courses in the series will be required to claim SCECHs.
Skills You'll Gain
- Content Creation
- Educational Technologies
- Generative Artificial Intelligence
- Instructional Design
- Learning Experience Design
What You'll Earn
- Certificate of Completion:
- Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
Welcome Message
Welcome to Exploring Generative AI for Learning Design, a short online course that introduces how Generative AI can support and enhance learning design work. You will explore core design processes, consider AI as a collaborative design partner, and examine emerging applications for learning professionals. Designed as a quick, practical entry point, this course, part of the Generative AI as a Learning Design Partner series, helps you thoughtfully integrate GenAI tools into your design practice.
This abbreviated syllabus description was created with the help of AI tools and reviewed by staff. The full syllabus is available to those who enroll in the course.
Course Schedule
Module 1: Introduction to the Course
- Video: Welcome to the Course
- Reading: Course Syllabus
- Reading: Course Introduction
- Reading: Getting Familiar with Generative AI
- Discussion Prompt: Introduce Yourself
- Reading: Help Us Learn About You!
Module 2: Fundamental Concepts
- Video: Overview of Design Processes
- Reading: Design Process Mapping Activity
- Discussion Prompt: Share Your Design Process Map
- Video: Partnership with Generative AI
- Video: Generative AI for Learning Professionals
- Video: Thinking Beyond the Hype
- Reading: Module 2 Summary
Module 3: Planning for Future Applications
- Video: Applications of Generative AI for Learning Design
- Discussion Prompt: Share Promising Ideas
- Video: Opportunities in the Design Process
- Reading: Your Turn
- App Item: Pinpoint a Promising Opportunity
- Video: Think About It
- App Item: Think About It: Workbook Activity
- Reading: Course Wrap-Up
- Reading: Behind the Curtain
- Reading: Staying Current with Generative AI
- Reading: Continuing Education Credits for Michigan Educators
- Reading: Post-Survey
Grading Policy
Course materials and assignments are available for self-paced learning. Learners must earn an overall grade of 80% or higher to pass the course and receive a certificate. The course grade is based on two module quizzes worth 25% each and an honor code quiz worth 50%.
Associate Professor of Education Practice
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Beginner Level
Learners should be familiar with learning design frameworks and have an interest in learning more about generative AI to support their work.
