Closing Session: Small Teaching with AI: Motivating Ourselves and Our Students with Manageable Moves
Alternative Title
Closing Session: Small Teaching with Artificial Intelligence (AI): Motivating Ourselves and Our Students with Manageable Moves
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 (2024 : Orlando, Fla.)
Location
Universal Center
Start Date
24-7-2024 11:30 AM
End Date
24-7-2024 12:45 PM
Publisher
University of Central Florida Libraries
Keywords:
Pedagogy; Student engagement; Ethical AI; Motivation strategies; Classroom integration
Subjects
Artificial intelligence--Study and teaching; Artificial intelligence--Educational applications; Motivation in education--Study and teaching; Teaching--Psychological aspects; Teaching--Computer-assisted instruction
Description
When it comes to teaching and learning with AI, both faculty and students may be overwhelmed and experiencing mixed emotions. Many instructors struggle to get going with their pedagogically meaningful implementation of AI. Many students fear false accusations of cheating, implications for the future of work, and more. Small teaching can help. To empower ourselves, our colleagues, and our students to become ethical and critically fluent users of AI, we’ll apply principles from motivation, emotion, and learning science. This will enable us to identify practical AI-integrated strategies to use next week or next semester in every class,
Language
eng
Type
Presentation
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Faculty, Students, Instructional designers
Recommended Citation
Darby, Flower, "Closing Session: Small Teaching with AI: Motivating Ourselves and Our Students with Manageable Moves" (2024). Teaching and Learning with AI Conference Presentations. 31.
https://stars.library.ucf.edu/teachwithai/2024/wednesday/31
Closing Session: Small Teaching with AI: Motivating Ourselves and Our Students with Manageable Moves
Universal Center
When it comes to teaching and learning with AI, both faculty and students may be overwhelmed and experiencing mixed emotions. Many instructors struggle to get going with their pedagogically meaningful implementation of AI. Many students fear false accusations of cheating, implications for the future of work, and more. Small teaching can help. To empower ourselves, our colleagues, and our students to become ethical and critically fluent users of AI, we’ll apply principles from motivation, emotion, and learning science. This will enable us to identify practical AI-integrated strategies to use next week or next semester in every class,