Associate Professor, School of Education
Strategizing the Use of Generative AI in Learning Design
What You'll Learn
- Articulate the strengths and limitations of generative AI for learning settings
- Develop a plan to create a custom GPT that will serve as a support tool in a specific learning context
- Create an assignment strategy that encourages the explicit use of generative AI
4 Modules
4 Hours
1 hr per module (approx.)
Rating
About Strategizing the Use of Generative AI in Learning Design
In "Strategizing the Use of Generative AI in Learning Design," you’ll explore how learning designers can partner with various stakeholders to use generative AI responsibly during design. A policy expert will discuss important considerations for learning professionals integrating generative AI into their processes. You’ll determine the strengths and limitations of generative AI for use within design projects and learning situations. Finally, you’ll develop a strategy for using a custom GPT.
This is the final 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
- AI Innovation
- ChatGPT
- Ethical AI
- Generative Artificial Intelligence
- Innovation Management
- Instructional Design
- Learning Experience Design
- Training & Development
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 Strategizing the Use of Generative AI in Learning Design, a course focused on helping learning professionals thoughtfully integrate generative AI into instructional design. You will explore the capabilities and limitations of generative AI, consider policy and ethical implications, and develop a practical strategy for using AI as a partner in learning design. This course emphasizes informed decision-making and real-world application.
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: Welcome 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: Generative AI’s Potential and Limitations
- Video: Strengths and Limitations of Generative AI for Learning
- Discussion Prompt: Discuss Opportunities and Concerns
- Video: Policy Matters for Generative AI Integration
- Discussion Prompt: Discuss Generative AI and Policy
- Video: Articulating Generative AI Partnership to Stakeholders
- Reading: Module 2 Summary
- Graded: Knowledge Check #1
Module 3: Create a Custom GPT
- Reading: Custom GPTs
- Video: Custom GPT for Learning Designers
- Video: Custom GPT for Learners
- Discussion Prompt: Brainstorm a Custom GPT
- Reading: Module 3 Summary
- Graded: Knowledge Check #2
Module 4: Create a Strategy
- Video: Tell Us Your Strategy
- App Item: Tell Us Your Strategy: Workbook Activity
- Reading: Course Wrap-Up
- Reading: Behind the Curtain
- Video: Series Wrap-Up
- Reading: Staying Current with Generative AI
- Reading: Continuing Education Credits for Michigan Educators
- Reading: Post-Course Survey
- Reading: Continue your AI education with the AI Collection from Michigan Online
Grading Policy
Learners are assessed through knowledge checks and a strategy-focused workbook activity. To pass the course, learners must complete all required assessments. There are two knowledge checks worth 25% each and a Strategy Workbook Activity worth 50% of your 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 general issues related to learning design and awareness of a range of concerns held by educational stakeholders.
