Alternative Title
Integrating Artificial Intelligence (A.I.) into Digital Course Development: the 20% Challenge
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 E
Start Date
29-5-2025 9:00 AM
End Date
29-5-2025 9:25 AM
Publisher
University of Central Florida Libraries
Keywords:
Digital learning; Course development; AI tools; Instructional design; Higher education
Subjects
Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching (Higher); Universities and colleges--Technological innovations; Computer-assisted instruction--Planning; Education, Higher--Automation
Description
How can institutions leverage the most effective A.I. tools for developing digital courses? Using the University of Central Florida' s Division of Digital Learning as a case study, this session will explore how teams of faculty, instructional designers, and media developers might leverage A.I. to address a sudden increase in demand of 20%. It will describe the initial genesis, kick off retreat, evaluation process, and current status of a significant pilot of various A.I. tools.
Language
eng
Type
Presentation
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Faculty; Students
Recommended Citation
Cavanagh, Thomas, "Integrating A.I. into Digital Course Development: the 20% Challenge" (2025). Teaching and Learning with AI Conference Presentations. 15.
https://stars.library.ucf.edu/teachwithai/2025/thursday/15
Integrating A.I. into Digital Course Development: the 20% Challenge
Seminole E
How can institutions leverage the most effective A.I. tools for developing digital courses? Using the University of Central Florida' s Division of Digital Learning as a case study, this session will explore how teams of faculty, instructional designers, and media developers might leverage A.I. to address a sudden increase in demand of 20%. It will describe the initial genesis, kick off retreat, evaluation process, and current status of a significant pilot of various A.I. tools.