Alternative Title
Applying Nursing's "Five Rights of Delegation" to Artificial Intelligence (AI) Use in the Classroom
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
Sawgrass
Start Date
28-5-2025 3:30 PM
End Date
28-5-2025 3:55 PM
Publisher
University of Central Florida Libraries
Keywords:
Delegation framework; AI integration; Academic integrity; Critical thinking; Educational guidelines
Subjects
Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching (Higher); Teaching--Decision making; Artificial intelligence--Moral and ethical aspects; Nursing--Decision making
Description
As educators contend with AI integration in higher education, a novel approach emerges from nursing education: applying the "Five Rights of Delegation" framework to guide AI use in teaching and learning. This session explores how this legally established framework - right task, circumstance, person, supervision, and direction/communication - creates a practical decision-making model for faculty and students across disciplines. Participants will engage with this framework to develop guidelines for appropriate AI use while maintaining academic integrity and critical thinking.
Language
eng
Type
Presentation
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Faculty, Students, Instructional designers
Recommended Citation
Blomquist, Jason, "Applying Nursing's "Five Rights of Delegation" to AI Use in the Classroom" (2025). Teaching and Learning with AI Conference Presentations. 70.
https://stars.library.ucf.edu/teachwithai/2025/wednesday/70
Blomquist-worksheet
Applying Nursing's "Five Rights of Delegation" to AI Use in the Classroom
Sawgrass
As educators contend with AI integration in higher education, a novel approach emerges from nursing education: applying the "Five Rights of Delegation" framework to guide AI use in teaching and learning. This session explores how this legally established framework - right task, circumstance, person, supervision, and direction/communication - creates a practical decision-making model for faculty and students across disciplines. Participants will engage with this framework to develop guidelines for appropriate AI use while maintaining academic integrity and critical thinking.