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Searching for Fit: The Impacts of AI in Higher Ed

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Manage episode 440345378 series 2106010
Content provided by Jeff Selingo and Michael Horn, Jeff Selingo, and Michael Horn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jeff Selingo and Michael Horn, Jeff Selingo, and Michael Horn or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

On this episode, Jeff and Michael tackle the question everyone is asking: how will AI transform higher ed? For help in finding the answer, they turn to bestselling author and professor of computer science at Georgetown University, Cal Newport. They discuss AI’s academic and operational implications, its ethical and practical considerations, and the stages and timeline over which we can expect this technological transformation to unfold. This episode is made with support from CollegeVine.

Links We Share

“Bad Bets,” Lightcast

“Good Jobs in Bad Times,” Future U

Chapters

(0:00) Intro
(4:06) Contextualizing AI in Higher Ed History
(7:03) Factors Delaying Implementation
(8:50) How AI is Changing Knowledge Work
(11:19) Should we Be Teaching about AI?
(18:45) Educating Students on AI’s Ethical Implications
(21:51) Differential Effects on Coding and Writing
(23:46) How AI Could Impact Higher Ed Inside and Outside the Classroom
(29:21) “The Development of AI That We’re Worried About”
(33:12) Parallels with the Days of The Early Internet
(40:56) AI’s Impacts on Writing
(43:15) Adaptations Required to Integrate AI in Higher Ed

  continue reading

194 episodes

Artwork
iconShare
 
Manage episode 440345378 series 2106010
Content provided by Jeff Selingo and Michael Horn, Jeff Selingo, and Michael Horn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jeff Selingo and Michael Horn, Jeff Selingo, and Michael Horn or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

On this episode, Jeff and Michael tackle the question everyone is asking: how will AI transform higher ed? For help in finding the answer, they turn to bestselling author and professor of computer science at Georgetown University, Cal Newport. They discuss AI’s academic and operational implications, its ethical and practical considerations, and the stages and timeline over which we can expect this technological transformation to unfold. This episode is made with support from CollegeVine.

Links We Share

“Bad Bets,” Lightcast

“Good Jobs in Bad Times,” Future U

Chapters

(0:00) Intro
(4:06) Contextualizing AI in Higher Ed History
(7:03) Factors Delaying Implementation
(8:50) How AI is Changing Knowledge Work
(11:19) Should we Be Teaching about AI?
(18:45) Educating Students on AI’s Ethical Implications
(21:51) Differential Effects on Coding and Writing
(23:46) How AI Could Impact Higher Ed Inside and Outside the Classroom
(29:21) “The Development of AI That We’re Worried About”
(33:12) Parallels with the Days of The Early Internet
(40:56) AI’s Impacts on Writing
(43:15) Adaptations Required to Integrate AI in Higher Ed

  continue reading

194 episodes

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