Innovative Course Design: Leveraging AI for Assignment and Assessment Development
Alternative Title
Innovative Course Design: Leveraging Artificial Intelligence (AI) for Assignment and Assessment Development
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
29-5-2025 10:15 AM
End Date
29-5-2025 10:30 AM
Publisher
University of Central Florida Libraries
Keywords:
AI course design; Assessment strategies; Active learning; Accreditation standards; Inclusive education
Subjects
Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching (Higher); Computer-assisted instruction--Design; Adult education--Technological innovations; Educational innovations
Description
This presentation focuses on using AI to create and design courses, assignments, and assessments that align with accreditation standards and best practices in andragogy, pedagogy, and heutagogy. Attendees will learn how to leverage AI to clearly define learning objectives, scaffold course content, and include active learning components. Utilizing this data participants will design a diverse assessment strategy that fosters engagement and ensures inclusivity.
Language
eng
Type
Presentation
Rights Statement
All Rights Reserved
Audience
Faculty; Instructional Designers
Recommended Citation
Chamberlin, Brandi, "Innovative Course Design: Leveraging AI for Assignment and Assessment Development" (2025). Teaching and Learning with AI Conference Presentations. 31.
https://stars.library.ucf.edu/teachwithai/2025/thursday/31
Innovative Course Design: Leveraging AI for Assignment and Assessment Development
Universal Center
This presentation focuses on using AI to create and design courses, assignments, and assessments that align with accreditation standards and best practices in andragogy, pedagogy, and heutagogy. Attendees will learn how to leverage AI to clearly define learning objectives, scaffold course content, and include active learning components. Utilizing this data participants will design a diverse assessment strategy that fosters engagement and ensures inclusivity.