Alternative Title
Grading at Scale with Artificial Intelligence (AI): Navigating the Promise and Complexities in Business 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 (2024 : Orlando, Fla.)
Location
Seminole B
Start Date
22-7-2024 2:15 PM
End Date
22-7-2024 2:45 PM
Publisher
University of Central Florida Libraries
Keywords:
AI grading; Educational ethics; Student assessment; Technology in education; Classroom innovation
Subjects
Artificial intelligence--Educational applications; Grading and marking (Students)--Computer-assisted instruction; Artificial intelligence--Study and teaching (Higher); Grading and marking (Students)--Evaluation; Artificial intelligence--Moral and ethical aspects
Description
AI offers a promising solution for grading at scale in large classes with diverse student needs. However, this innovation is not without its complexities and ethical concerns. We will explore questions around fairness, accuracy, and the impact of AI on student learning and teacher-student relationships. Participants will engage in thought-provoking discussions, evaluating the potential and pitfalls of AI-assisted grading. The discussion will be informed by experiences from the audience and experiments at the University of Illinois Urbana-Champaign.
Language
eng
Type
Presentation
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Faculty, Administrators, Instructional designers
Recommended Citation
Means, Tawnya and King, Adam, "Grading at Scale with AI: Navigating the Promise and Complexities in Business Education" (2024). Teaching and Learning with AI Conference Presentations. 25.
https://stars.library.ucf.edu/teachwithai/2024/monday/25
Grading at Scale with AI: Navigating the Promise and Complexities in Business Education
Seminole B
AI offers a promising solution for grading at scale in large classes with diverse student needs. However, this innovation is not without its complexities and ethical concerns. We will explore questions around fairness, accuracy, and the impact of AI on student learning and teacher-student relationships. Participants will engage in thought-provoking discussions, evaluating the potential and pitfalls of AI-assisted grading. The discussion will be informed by experiences from the audience and experiments at the University of Illinois Urbana-Champaign.