Custom AI in the Classroom: A Copilot Studio Case Study

Paul Marty, Florida State University

Alternative Title

Custom Artificial Intelligence (AI) in the Classroom: A Copilot Studio Case Study

Contributor

University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2025 : Orlando, Fla.)

Location

Gold Coast III/IV

Start Date

29-5-2025 11:30 AM

End Date

29-5-2025 11:55 AM

Publisher

University of Central Florida Libraries

Keywords:

Low-code solutions; Custom GPTs; Faculty empowerment; AI applications; Best practices

Subjects

Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching (Higher); Microsoft software--Computer-assisted instruction; Computer-assisted instruction--Study and teaching (Higher); Technological innovations--Study and teaching

Description

Looking for low-code / no-code solutions that allow faculty to develop their own AI for their own classes? In Fall 2024, Florida State University partnered with Microsoft to empower its faculty to create their own GPTs using Microsoft Copilot Studio. Faculty across campus participated in a pilot test where they created custom GPTs, trained them on their course syllabi, assignments, lectures, and more, and then made those GPTs available to their students. This presentation will present lessons learned from this pilot test regarding best practices for giving faculty the tools to create their own custom AI applications for their classes.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Faculty

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May 29th, 11:30 AM May 29th, 11:55 AM

Custom AI in the Classroom: A Copilot Studio Case Study

Gold Coast III/IV

Looking for low-code / no-code solutions that allow faculty to develop their own AI for their own classes? In Fall 2024, Florida State University partnered with Microsoft to empower its faculty to create their own GPTs using Microsoft Copilot Studio. Faculty across campus participated in a pilot test where they created custom GPTs, trained them on their course syllabi, assignments, lectures, and more, and then made those GPTs available to their students. This presentation will present lessons learned from this pilot test regarding best practices for giving faculty the tools to create their own custom AI applications for their classes.