Associate Professor, School of Education
Using Generative AI for Learning Design Activities
What You'll Learn
- Understand the key capabilities of generative AI to support learning design
- Use generative AI to support learning design tasks
- Develop effective/repeatable processes with ChatGPT for drafting learning outcomes, course outlines, assessments, and evaluating course designs
4 Modules
8 Hours
2 hrs per module (approx.)
Rating
About Using Generative AI for Learning Design Activities
In “Using Generative AI for Learning Design Activities,” you’ll experiment with how generative AI supports learning design tasks. Throughout the course, instructors will use an applied case study to illustrate how generative AI can enhance learning design. You will then apply these insights to various activities, including drafting learning objectives, brainstorming, aligning course outcomes, and creating learner personas. You’ll then scope and conduct an experiment using generative AI, sharing your experiment results with peers in the course.
This is the second 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
- Design Strategies
- Generative Artificial Intelligence
- 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 Using Generative AI for Learning Design Activities, a course focused on applying generative AI tools to support effective learning design. You will explore how AI can assist with brainstorming, refining, and practicing instructional design tasks such as developing learning objectives, activities, assessments, and accessible materials. This course, which is the second in the Generative AI as a Learning Design Partner series, emphasizes practical experimentation and reflective use of generative AI in educational contexts.
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: Brainstorming With Generative AI
- Video: Interacting with Generative AI
- Reading: Identifying Relevant Situational Factors
- Reading: Introduction to Sample Course
- Discussion Prompt: Characterize Situational Factors
- Video: Drafting Learning Objectives
- Reading: Brainstorming Learning Activities
- Video: Crafting Assessments & Elaborative Feedback
- Video: Developing Scripts
- Reading: Creating Visualizations
- Video: Improving Accessibility
- Discussion Prompt: Experiment with a Learning Design Task
- Reading: Module 2 Summary
Module 3: Refining With Generative AI
- Video: Aligning Course Goals with Design Outcomes
- Video: Roleplaying as a Learner Persona
- Reading: Module 3 Summary
Module 4: Practicing With Generative AI
- Video: Give it a try!
- Reading: Introduction to the Gamut Workbook
- App Item: Give it a try: 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-Course Survey
Grading Policy
To complete the course, learners must complete all required assessments that evaluate understanding and reflection on learning design practices using generative AI. The course grade is based on two knowledge checks worth 25% each, and a reflection opportunity worth 50% of the final grade.
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 process tasks and can evaluate the effectiveness of generative AI in supporting these tasks.
