College of Arts & Sciences Winter Quarter Workshops:; Work with AI; Prepare Your Interview Story Workshop; "What AI Exposes About Learning"

Submitted by Meera Roy on

Winter Quarter Workshops


Vibe Coding Sprint | Sponsored by v0

This workshop is a fast-paced sprint where students learn how to work with AI to turn messy ideas into a usable prototype. Students begin with a short scenario (their “case”) and use AI as a creative partner to design a deliverable that solves a realistic professional problem.

Participants practice judgment, storytelling, and decision-making as a team, focusing on what matters most rather than perfect polish. No technical or coding experience is required.

Each sprint introduces a new case, a new question, and a new way to test how AI can turn ideas into action. This sprint is supported by v0, giving students hands-on experience with the kinds of AI tools used to turn ideas into working products.

Thursday, January 15 | 4:30–6:30 PM | Condon 401 | Click here to sign up

Thursday, February 12 | 4:30–6:30 PM | Condon 401 | Click here to sign up

Note: The 2/12 Vibe Coding Sprint is not sponsored by v0.
To learn more about v0, click here.


Prepare Your Interview Story Workshop

This workshop helps students turn everyday experiences into narratives that help them shine in interviews. In high-stakes moments, stories matter more than lists of skills. They make students memorable, show how they think, and reveal the value they bring to a team.

Students respond to real interview questions, receive feedback from peers and gesture mentors, and use AI as a creative partner to refine their stories.

Tuesday, January 27 | 4:30–6:30 PM | Condon 401 | Click here to sign up


Learn More About gesture

Students can also explore gesture’s work and thinking through our newest episode of UNHIREABLE:

What AI Exposes About Learning

In this episode, Kevin and Matt sit down with Professor Anis Bawarshi (UW English) to discuss AI in early career and learning. Anis introduces the distinction between “knowing how,” “knowing that,” and “knowing with,” and how these metacognitive skills help students adapt learning across contexts and use AI effectively.

Watch on YouTube | Listen on Spotify

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