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Dr. William Kuskin, Professor of English and Faculty Director for Innovation in Online Education at the University of Colorado at Boulder joined the podcast to discuss why higher ed needs to start experimenting in order to find its online future faster.
Bob Ubell, Vice Dean Emeritus of Online Learning at New York University’s Tandon School of Engineering joined the podcast to discuss what happens when our students value convenience more than anything else.
Ken Eisner, Director of Worldwide Education Programs at Amazon Web Services joined the podcast to discuss how cloud computing is creating new upskilling opportunities for higher education and the future of work.
Eric Mason, Economist joined the podcast to talk about the economic history and future of higher education, and help us understand how the field of Cliometrics can paint an economic-specific understanding of higher education history.
Natalie Van Kleef Conley, Product Lead at Google, joined the podcast to talk about their Grow with Google initiatives, and how higher ed is incorporating Google certificates into their degree programs.
Dr. Perry Samson, Arthur F. Thurnau Professor at University of Michigan joined the podcast to talk about engaging your live in-person classes online during campus closures due to Coronavirus (COVID-19).
Haley Glover, Strategy Director at Lumina Foundation joined the podcast to talk about how higher education can be a better partner with leading employers on workforce development strategies.
Steve Prentice, Writer, Speaker, Fortune 500 Consultant, and Futurist joined the podcast to talk about the advent of artificial intelligence, the future of work, and how universities need to think about designing future-facing degree programs.
Jolie Tingen, Product Manager at Duke University joined the podcast to talk about the next generation digital learning environment (NGDLE) and how Duke’s Kits project is an open-source attempt to provide faculty with more academic technology freedom.
J Scott Christianson, Assistant Teaching Professor at University of Missouri joined the podcast to talk about why we should be both bullish and bearish about artificial intelligence and machine learning coming to higher ed.
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