Quality Online Courses: Design and Align with AI
Alternative Title
Quality Online Courses: Design and Align with Artificial Intelligence (AI)
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
Seminole A
Start Date
22-7-2024 2:45 PM
End Date
22-7-2024 3:15 PM
Publisher
University of Central Florida Libraries
Keywords:
Course design; Alignment; Assessment; Instructional materials; AI applications
Subjects
Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching (Higher); Quality assurance--Study and teaching; Computer-assisted instruction--Design; Education, Higher--Quality control
Description
In the quickly evolving field of AI, Quality Matters, a nonprofit quality assurance organization, has been exploring ways AI technologies can map to its Higher Education Rubric, Seventh Edition. Central to the rubric is the concept of alignment, which is fundamental to effective course design. This session aims to investigate applications of AI within this framework and explore the possibilities and limitations of using AI tools to better align assessments, activities, and instructional materials to course and module objectives.
Language
eng
Type
Presentation
Rights Statement
All Rights Reserved
Audience
Faculty, Instructional designers, Administrators
Recommended Citation
Cummins, Liz, "Quality Online Courses: Design and Align with AI" (2024). Teaching and Learning with AI Conference Presentations. 24.
https://stars.library.ucf.edu/teachwithai/2024/monday/24
Quality Online Courses: Design and Align with AI
Seminole A
In the quickly evolving field of AI, Quality Matters, a nonprofit quality assurance organization, has been exploring ways AI technologies can map to its Higher Education Rubric, Seventh Edition. Central to the rubric is the concept of alignment, which is fundamental to effective course design. This session aims to investigate applications of AI within this framework and explore the possibilities and limitations of using AI tools to better align assessments, activities, and instructional materials to course and module objectives.