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

Sun & Surf I/II

Start Date

28-5-2025 1:00 PM

End Date

28-5-2025 1:25 PM

Publisher

University of Central Florida Libraries

Keywords:

AI tools; Business research; Database discovery; Librarian support; Resource promotion

Subjects

Business librarians; Artificial intelligence--Library applications; Libraries--Technological innovations; Business libraries--Automation; Research libraries--Technological innovations

Description

In this session, two business librarians showcase their innovative use of GPTs, customized versions of ChatGPT, designed to assist faculty, staff, and students in utilizing business research databases. These AI tools can promote essential resources, connect users with automated librarian designed support, and enhance the research experience. Presenters will discuss how to build a GPT, the benefits including improved discovery, engagement, potential for internal applications like staff training and new hire onboarding, as well as limitations. This case study offers insights for institutions interested in leveraging AI as a valuable tool to enhance and promote research support services.

Language

eng

Type

Presentation

Format

application/pdf

Rights Statement

All Rights Reserved

Audience

Faculty, Students, Librarians, Staff

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May 28th, 1:00 PM May 28th, 1:25 PM

Customize GPTs to Enhance Discovery of Resources in Libraries

Sun & Surf I/II

In this session, two business librarians showcase their innovative use of GPTs, customized versions of ChatGPT, designed to assist faculty, staff, and students in utilizing business research databases. These AI tools can promote essential resources, connect users with automated librarian designed support, and enhance the research experience. Presenters will discuss how to build a GPT, the benefits including improved discovery, engagement, potential for internal applications like staff training and new hire onboarding, as well as limitations. This case study offers insights for institutions interested in leveraging AI as a valuable tool to enhance and promote research support services.

Accessibility Statement

This item was created or digitized prior to April 24, 2027, or is a reproduction of legacy media created before that date. It is preserved in its original, unmodified state specifically for research, reference, or historical recordkeeping. In accordance with the ADA Title II Final Rule, the University Libraries provides accessible versions of archival materials upon request. To request an accommodation for this item, please submit an accessibility request form.