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Short Abstract
Embark on a magical journey using AI-driven technologies to transform teaching and learning into an enchanting experience. In this interactive master class, you'll learn to sprinkle AI fairy dust on your content and learning activities, crafting dynamic, tailor-made, and captivating educational materials that bring the magic of imagination into learning.
Extended Abstract
Pre-conference master classes require an additional registration fee. This session can be added to your registration by visiting https://onlinelearningconsortium.org/attend-2024/olc-accelerate-2024-register/ . Click on "How to Add a Pre-conference Master Class to your Registration" under Additional Information.
Presenting Speakers

Tawnya Means
Asst Dean, Educ Innovation & CLO at University of Illinois at Urbana-Champaign
Dr. Tawnya Means is the Assistant Dean for Educational Innovation and Chief Learning Officer at Gies College of Business at the University of Illinois Urbana-Champaign. With more than 20 years of experience in higher education, course design, and educational consulting, Tawnya has led teaching and learning teams and taught residential, online, and blended courses in entrepreneurship, strategy, technology, and leadership in remote teams. Her research interests include online and blended learning, active learning, learning space design, technology innovation in teaching, access to digital learning resources, generative AI for education, and faculty preparation to teach.

Adam King
Sr Assoc Director of T&L Technology at University of Illinois at Urbana-Champaign
Magic Pixie Dust: Leveraging Generative AI to Craft Dynamic Learning
Track
Innovative Learning Environments and Technologies
Description
11/18/2024 | 9:00 AM - 12:00 PM
Location: Asia 3
Track: Innovative Learning Environments and Technologies
Session Type: Master Class
Institution Level: Higher Ed
Audience Level: Intermediate
Intended Audience: Design Thinkers, Faculty, Technologists
Special Session Designation: For Instructional Designers
Track: Innovative Learning Environments and Technologies
Session Type: Master Class
Institution Level: Higher Ed
Audience Level: Intermediate
Intended Audience: Design Thinkers, Faculty, Technologists
Special Session Designation: For Instructional Designers