The Ethical Use of AI in Student Grading

Alternative Title

The Ethical Use of Artificial Intelligence (AI) in Student Grading

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 E

Start Date

29-5-2025 9:30 AM

End Date

29-5-2025 9:55 AM

Publisher

University of Central Florida Libraries

Keywords:

AI ethics; Student assessment; Grading fairness; Educational technology; Bias mitigation

Subjects

Artificial intelligence--Moral and ethical aspects; Grading and marking (Students)--Computer-assisted instruction; Education--Moral and ethical aspects; Artificial intelligence--Educational applications; Grading and marking (Students)--Evaluation

Description

As AI becomes more integrated into educational settings, ensuring ethical practices in student grading is paramount. This session explores practical approaches for integrating AI tools into grading systems while maintaining equity, transparency, and fairness. Attendees will gain insight into the challenges and benefits of using AI in assessing student learning. Discussions will address strategies to mitigate biases and uphold academic integrity and student privacy protections. Designed for educators across disciplines, this session offers actionable guidance for ethically leveraging AI to enhance and streamline grading practices.

Language

eng

Type

Presentation

Format

application/vnd.openxmlformats-officedocument.presentationml.presentation

Rights Statement

All Rights Reserved

Audience

Faculty; Students

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May 29th, 9:30 AM May 29th, 9:55 AM

The Ethical Use of AI in Student Grading

Seminole E

As AI becomes more integrated into educational settings, ensuring ethical practices in student grading is paramount. This session explores practical approaches for integrating AI tools into grading systems while maintaining equity, transparency, and fairness. Attendees will gain insight into the challenges and benefits of using AI in assessing student learning. Discussions will address strategies to mitigate biases and uphold academic integrity and student privacy protections. Designed for educators across disciplines, this session offers actionable guidance for ethically leveraging AI to enhance and streamline grading practices.

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.