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University of Michigan

Using Generative AI for Learning Design Activities

University of Michigan via Coursera

Overview

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.

Syllabus

  • Introduction to the Course
    • In this module, you will meet your instructors, review the course syllabus, and introduce yourself to your fellow learners.
  • Brainstorming with Generative AI
    • In this module, you will learn the basics about how to interact with Generative AI tools and identifying relevant situational factors. You will then see examples of how Generative AI can be leveraged during the brainstorming process for various learning design tasks.
  • Refining with Generative AI
    • In this module, you will see examples of how Generative AI can be leveraged to refine design artifacts and course content.
  • Practice with Generative AI
    • Now it's your turn! In this module, you will get hands-on practice with a Generative AI tool for learning design tasks.

Taught by

Chris Quintana and Rebecca Quintana, PhD

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