AI in AI: Adjudicating Academic Integrity Cases Alleging Use of Artificial Intelligence

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 2:45 PM

End Date

29-5-2025 3:10 PM

Publisher

University of Central Florida Libraries

Keywords:

Academic integrity; Artificial intelligence; Student conduct; Misconduct assessment; Ethical strategies

Subjects

Artificial intelligence--Study and teaching (Higher); Artificial intelligence--Moral and ethical aspects; Artificial intelligence--Educational applications; Student ethics; Community and college--Moral and ethical aspects

Description

This session provides an overview of AI's impact on academic integrity at Valencia College. Beginning with introductions, we will explore the AI landscape through a combination of lecture and large group activities. The session will then cover Valencia College's approach to academic integrity, including a detailed review of the student conduct process for academic dishonesty cases. Participants will engage in an "Egregiousness Spectrum" activity to assess varying levels of misconduct, followed by a reflection session. The event will conclude with a collaborative discussion on strategies for maintaining academic integrity in an AI-driven world.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Faculty; Administrators

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May 29th, 2:45 PM May 29th, 3:10 PM

AI in AI: Adjudicating Academic Integrity Cases Alleging Use of Artificial Intelligence

Seminole E

This session provides an overview of AI's impact on academic integrity at Valencia College. Beginning with introductions, we will explore the AI landscape through a combination of lecture and large group activities. The session will then cover Valencia College's approach to academic integrity, including a detailed review of the student conduct process for academic dishonesty cases. Participants will engage in an "Egregiousness Spectrum" activity to assess varying levels of misconduct, followed by a reflection session. The event will conclude with a collaborative discussion on strategies for maintaining academic integrity in an AI-driven world.

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.