Open Ed Live Opening and Keynote: In Search of the Perfect Blend(s): Open Ed and Generative AI

Streaming Media

Location

Virtual

Start Date

25-2-2025 11:45 AM

End Date

25-2-2025 12:45 PM

Description

Two Great Tastes that Taste Great Together

For decades, instructors, instructional designers, and others have used the tools and techniques of open education to improve access and affordability. The ongoing, rapid advancement of generative AI is offering a new set of affordances, creating new possibilities for innovating and improving education.

In this keynote, Dr. David Wiley will explore how the intersection of open education and generative AI might redefine the future of teaching and learning, learning materials, and instructional design. By re-conceptualizing AI tools like large language models in the context of open educational resources, educators have new opportunities to create and share both content and learning activities that are more affordable, effective, and meaningful. At the same time, generative AI brings familiar challenges, including worries about access and privacy, concerns over commercialization, and the need for transparency and ethics. Drawing on lessons from decades in the open movement, this session will consider how we can combine the participatory power of openness with the technical capabilities of generative AI to move toward a future that improves access, agency, and outcomes for all learners.

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Feb 25th, 11:45 AM Feb 25th, 12:45 PM

Open Ed Live Opening and Keynote: In Search of the Perfect Blend(s): Open Ed and Generative AI

Virtual

Two Great Tastes that Taste Great Together

For decades, instructors, instructional designers, and others have used the tools and techniques of open education to improve access and affordability. The ongoing, rapid advancement of generative AI is offering a new set of affordances, creating new possibilities for innovating and improving education.

In this keynote, Dr. David Wiley will explore how the intersection of open education and generative AI might redefine the future of teaching and learning, learning materials, and instructional design. By re-conceptualizing AI tools like large language models in the context of open educational resources, educators have new opportunities to create and share both content and learning activities that are more affordable, effective, and meaningful. At the same time, generative AI brings familiar challenges, including worries about access and privacy, concerns over commercialization, and the need for transparency and ethics. Drawing on lessons from decades in the open movement, this session will consider how we can combine the participatory power of openness with the technical capabilities of generative AI to move toward a future that improves access, agency, and outcomes for all learners.