Chris Brown, Valencia College

Alternative Title

Artificial Intelligence (AI) Literacy: From Surveys to Discipline Expertise

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

Seminole D

Start Date

28-5-2025 1:30 PM

End Date

28-5-2025 1:55 PM

Publisher

University of Central Florida Libraries

Keywords:

Generative AI; AI literacy; Ethical use; Institutional strategy; Audience perspectives

Subjects

Artificial intelligence--Study and teaching; Artificial intelligence--Educational applications; Artificial intelligence--Moral and ethical aspects; Information literacy--Study and teaching (Higher); Social surveys--Computer-assisted instruction

Description

Students, faculty, and staff want to become "literate" in using generative AIs like ChatGPT, Gemini, and CoPilot because these tools could make work and learning more efficient, but what about effective and ethical? What does it mean to audit AI content and use? This session explores results from a faculty and staff survey that is informing our institutional strategy around AI literacy and resource development. The goal is to illustrate the power of knowing your audiences and relying on their perspectives, experiences, and expertise to build (and rebuild) an institution-wide view of AI in teaching, learning, and work.

Language

eng

Type

Presentation

Format

application/pdf

Rights Statement

All Rights Reserved

Audience

Faculty, Staff, Students, Administrators

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COinS
 
May 28th, 1:30 PM May 28th, 1:55 PM

AI Literacy: From Surveys to Discipline Expertise

Seminole D

Students, faculty, and staff want to become "literate" in using generative AIs like ChatGPT, Gemini, and CoPilot because these tools could make work and learning more efficient, but what about effective and ethical? What does it mean to audit AI content and use? This session explores results from a faculty and staff survey that is informing our institutional strategy around AI literacy and resource development. The goal is to illustrate the power of knowing your audiences and relying on their perspectives, experiences, and expertise to build (and rebuild) an institution-wide view of AI in teaching, learning, and work.