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Pacific Oaks' Approach to AI

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Manage episode 483974801 series 2363658
Content provided by John Kane and Rebecca Mushtare, John Kane, and Rebecca Mushtare. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by John Kane and Rebecca Mushtare, John Kane, and Rebecca Mushtare 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.

Generative AI tools are challenging traditional models of college instruction. In this episode, Camille Huggins, Yolanda Carlos, and Orlando Saiz join us to discuss how Pacific Oaks College is working to use these tools to more effectively support student learning. Camille, Yolanda, and Orlando were participants in an AI Institute offered at Pacific Oaks College this year.

A transcript of this episode and show notes may be found at http://teaforteaching.com.

  continue reading

395 episodes

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Pacific Oaks' Approach to AI

Tea for Teaching

173 subscribers

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Manage episode 483974801 series 2363658
Content provided by John Kane and Rebecca Mushtare, John Kane, and Rebecca Mushtare. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by John Kane and Rebecca Mushtare, John Kane, and Rebecca Mushtare 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.

Generative AI tools are challenging traditional models of college instruction. In this episode, Camille Huggins, Yolanda Carlos, and Orlando Saiz join us to discuss how Pacific Oaks College is working to use these tools to more effectively support student learning. Camille, Yolanda, and Orlando were participants in an AI Institute offered at Pacific Oaks College this year.

A transcript of this episode and show notes may be found at http://teaforteaching.com.

  continue reading

395 episodes

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