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 A
Start Date
28-5-2025 4:00 PM
End Date
28-5-2025 4:25 PM
Publisher
University of Central Florida Libraries
Keywords:
Faculty development; Immersive training; Peer-to-peer learning; Artificial intelligence; Online education
Subjects
Adult education--Technological innovations; Experiential learning; Artificial intelligence--Educational applications; Faculty integration; Educational innovations
Description
Navigating the online educational landscape can be daunting at times, so it is important to immerse faculty in asynchronous communities of practice that facilitate connectedness and innovation to approach current trends and best practices. Peer-to-peer learning is a catalyst to break down barriers and encourage growth through cohort-based practical applications. The experience brings faculty together to solve dilemmas around AI and teaches them new perspectives while providing foundational support systems for innovation. It challenges the status quo and explores how the AI domain will help equip students for future learning experiences.
Language
eng
Type
Presentation
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Faculty, Administrators, Instructional designers
Recommended Citation
Moyer, J. Cody; Ragsdale, B. Katie; and Shapiro, Mary Beth, "Confronting Faculty Apprehension with Immersive Training Experiences" (2025). Teaching and Learning with AI Conference Presentations. 58.
https://stars.library.ucf.edu/teachwithai/2025/wednesday/58
Confronting Faculty Apprehension with Immersive Training Experiences
Seminole A
Navigating the online educational landscape can be daunting at times, so it is important to immerse faculty in asynchronous communities of practice that facilitate connectedness and innovation to approach current trends and best practices. Peer-to-peer learning is a catalyst to break down barriers and encourage growth through cohort-based practical applications. The experience brings faculty together to solve dilemmas around AI and teaches them new perspectives while providing foundational support systems for innovation. It challenges the status quo and explores how the AI domain will help equip students for future learning experiences.