The Ethical Considerations of Using AI in Rubric Construction and Grading in Graduate School

Alternative Title

The Ethical Considerations of Using Artificial Intelligence (AI) in Rubric Construction and Grading in Graduate School

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 4:00 PM

End Date

29-5-2025 5:00 PM

Publisher

University of Central Florida Libraries

Keywords:

AI ethics; Graduate education; Assessment strategies; Fairness in evaluation; Transparency in grading

Subjects

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

Description

This poster session will present ethical implications of integrating artificial intelligence (AI) in the development of grading rubrics and assessment strategies in graduate education. As AI technology becomes increasingly prevalent, educators must critically assess its impact on fairness, transparency, and inclusivity in academic evaluation. The responsibilities of educators in leveraging AI tools while maintaining ethical standards will be presented. The session will provide a framework for addressing these concerns, ensuring that AI enhances rather than compromises the integrity of academic assessment.

Language

eng

Type

Poster

Format

application/vnd.openxmlformats-officedocument.presentationml.presentation

Rights Statement

All Rights Reserved

Audience

Faculty; Graduate Students

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May 29th, 4:00 PM May 29th, 5:00 PM

The Ethical Considerations of Using AI in Rubric Construction and Grading in Graduate School

Universal Center

This poster session will present ethical implications of integrating artificial intelligence (AI) in the development of grading rubrics and assessment strategies in graduate education. As AI technology becomes increasingly prevalent, educators must critically assess its impact on fairness, transparency, and inclusivity in academic evaluation. The responsibilities of educators in leveraging AI tools while maintaining ethical standards will be presented. The session will provide a framework for addressing these concerns, ensuring that AI enhances rather than compromises the integrity of academic assessment.