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

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Jul 22nd, 2:15 PM Jul 22nd, 2:45 PM

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.

Accessibility Statement

This item was created or digitized prior to April 24, 2027, or is a reproduction of legacy media created before that date. It is preserved in its original, unmodified state specifically for research, reference, or historical recordkeeping. In accordance with the ADA Title II Final Rule, the University Libraries provides accessible versions of archival materials upon request. To request an accommodation for this item, please submit an accessibility request form.