Pacific Oaks' Approach to AI episode artwork

EPISODE · May 21, 2025 · 37 MIN

Pacific Oaks' Approach to AI

from Tea for Teaching · host John Kane and Rebecca Mushtare

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.

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.

NOW PLAYING

Pacific Oaks' Approach to AI

0:00 37:33

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Tea for Teaching?

This episode is 37 minutes long.

When was this Tea for Teaching episode published?

This episode was published on May 21, 2025.

What is this episode about?

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...

Is there a transcript available for this episode?

Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

Can I download this Tea for Teaching episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!