Creating--and Killing--Open Educational Resources
With guest David Wiley
More than 25 years ago, researcher David Wiley was electrified by the idea that the Internet made it possible to create an educational material once, then share it with millions. That was the beginning of Wiley’s deep support of the Open Educational Resources (OER) movement. In this episode of Future Fluent, Wiley shares with Jeremy Roschelle and Betsy Corcoran the radical changes he foresees for OER created by generative AI. And we ask: What does it mean for a technology to be “generous”?
David Wiley
Dr. David Wiley is the Chief Academic Officer of Lumen Learning. Holding a PhD in Instructional Psychology and Technology from Brigham Young University, his work and research happen at the intersection of open educational resources, generative AI, continuous improvement, and professional development.
Dr. Wiley is the Director of The Brad D. Smith Student Incubator in the Center for Innovation and Entrepreneurship at Marshall University, and adjunct faculty in Brigham Young University's graduate program in Instructional Psychology and Technology, where he was previously a tenured Associate Professor.
Dr. Wiley publishes "Reviewing Research on AI in Education," a newsletter for anyone trying to stay up-to-date with empirical research on the impacts of generative AI on teaching and learning.
Want more? Check out these references from our interview:
Reviewing Research in AI, a substack by David Wiley
A list of Open Educational Resources and Archives currently available
Creative Commons Licenses, a definition
Improving Learning blog: An eclectic, pragmatic and enthusiastic perspective by David Wiley
Bloom’s 1984 paper: The Two Sigma problem (and Wikipedia’s explanation of Bloom’s Two Sigma problem)
Instructors as Innovators: a Future-focused Approach to New AI Learning Opportunities, With Prompts, a paper by Ethan Mollick and Lilach Mollick
The Best Available Human Standard by Ethan Mollick
Andrej Karpathy’s YouTube channel: Explaining Large Language Models
Quarterly Report 09/24: What are the most influential current AI Papers? By Christoph Leiter et al.
