Talk Like a Human: Generating Shared Rhetorical Visions of AI in the Education
Alternative Title
Talk Like a Human: Generating Shared Rhetorical Visions of Artificial Intelligence (AI) in the Education
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
Universal Center
Start Date
30-5-2025 9:40 AM
End Date
30-5-2025 9:55 AM
Publisher
University of Central Florida Libraries
Keywords:
Generative AI; Rhetorical analysis; Educational communication; Faculty-student interaction; Ethical integration
Subjects
Artificial intelligence--Educational applications; English language--Rhetoric--Study and teaching--Social aspects; Artificial intelligence--Study and teaching (Higher); Communication in education--Research; Artificial intelligence--Moral and ethical aspects
Description
Generative AI is transforming education, but misaligned perceptions between instructors and students can hinder its ethical and effective use. This session shares findings from a qualitative study analyzing faculty and student rhetoric about AI, using fantasy theme and metaphor analysis to uncover areas of shared understanding, conflict, and collaboration. Drawing on instructional communication theories, we'll present practical strategies for fostering shared rhetorical visions of AI. Attendees will leave with actionable talking points and communication techniques to bridge divides, align expectations, and promote ethical, humanistic integration of AI in in-person, hybrid, and online classrooms.
Language
eng
Type
Presentation
Rights Statement
All Rights Reserved
Audience
Faculty; Students
Recommended Citation
Engstrom, Craig and Wegmann, Susan, "Talk Like a Human: Generating Shared Rhetorical Visions of AI in the Education" (2025). Teaching and Learning with AI Conference Presentations. 1.
https://stars.library.ucf.edu/teachwithai/2025/friday/1
Talk Like a Human: Generating Shared Rhetorical Visions of AI in the Education
Universal Center
Generative AI is transforming education, but misaligned perceptions between instructors and students can hinder its ethical and effective use. This session shares findings from a qualitative study analyzing faculty and student rhetoric about AI, using fantasy theme and metaphor analysis to uncover areas of shared understanding, conflict, and collaboration. Drawing on instructional communication theories, we'll present practical strategies for fostering shared rhetorical visions of AI. Attendees will leave with actionable talking points and communication techniques to bridge divides, align expectations, and promote ethical, humanistic integration of AI in in-person, hybrid, and online classrooms.