Alternative Title
Revamping Course Outcomes: Weaving Bloom' s Taxonomy and Artificial Intelligence (AI) Together
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 D
Start Date
30-5-2025 10:45 AM
End Date
30-5-2025 11:10 AM
Publisher
University of Central Florida Libraries
Keywords:
Course outcomes; Bloom's taxonomy; Higher education; AI integration; Critical analysis
Subjects
Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching (Higher); Education, Higher--Computer-assisted instruction; Critical thinking--Computer-assisted instruction; Education, Higher--Effect of technological innovations on
Description
Integrating Artificial Intelligence (AI) into higher education is essential in preparing students for an evolving professional landscape. This session will explore how instructors can harness AI as a catalyst for deeper learning and more accessible course outcomes. By incorporating AI-centered activities, instructors can encourage students to critically analyze course content, preparing them for the AIdriven workforce. Instructors can also employ AI to refine course outcomes, ensuring they resonate with students from diverse backgrounds. Participants will gain a foundation for integrating AI into course outcome development and learn how AI can provide instructors with a valuable perspective on the student experience.
Language
eng
Type
Presentation
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Faculty; Students
Recommended Citation
Eaton, Tiffany, "Revamping Course Outcomes: Weaving Bloom' s Taxonomy and AI Together" (2025). Teaching and Learning with AI Conference Presentations. 25.
https://stars.library.ucf.edu/teachwithai/2025/friday/25
Revamping Course Outcomes: Weaving Bloom' s Taxonomy and AI Together
Seminole D
Integrating Artificial Intelligence (AI) into higher education is essential in preparing students for an evolving professional landscape. This session will explore how instructors can harness AI as a catalyst for deeper learning and more accessible course outcomes. By incorporating AI-centered activities, instructors can encourage students to critically analyze course content, preparing them for the AIdriven workforce. Instructors can also employ AI to refine course outcomes, ensuring they resonate with students from diverse backgrounds. Participants will gain a foundation for integrating AI into course outcome development and learn how AI can provide instructors with a valuable perspective on the student experience.