Alternative Title

Rubric for Grading Assignments that Explicitly Allowed Students to use Generative Artificial Intelligence (GenAI)

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 A

Start Date

24-7-2024 10:45 AM

End Date

24-7-2024 11:15 AM

Publisher

University of Central Florida Libraries

Keywords:

Generative AI; Grading rubrics; Academic integrity; Evaluation metrics; Student assignments

Subjects

Grading and marking (Students)--Evaluation; Grading and marking (Students)--Standards; Artificial intelligence--Study and teaching; Academic writing--Evaluation; Grading and marking (Students)--Study and teaching

Description

Grading of assignments created with the help of Generative AI tools poses a major challenge to instructors who were trained on rubrics developed decades ago. Such rubrics are incapable of handling situations where the work is clearly a violation of honor agreements. We propose a set of metrics that may be useful for grading student work that is at least partially generated with the help of AI. The audience is encouraged to bring their own ideas as explicit feedback will be sought and will be part of the discussion.

Language

eng

Type

Presentation

Format

application/pdf

Rights Statement

All Rights Reserved

Audience

Faculty, Instructional designers

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Jul 24th, 10:45 AM Jul 24th, 11:15 AM

Rubric for Grading Assignments that Explicitly Allowed Students to use Generative AI

Seminole A

Grading of assignments created with the help of Generative AI tools poses a major challenge to instructors who were trained on rubrics developed decades ago. Such rubrics are incapable of handling situations where the work is clearly a violation of honor agreements. We propose a set of metrics that may be useful for grading student work that is at least partially generated with the help of AI. The audience is encouraged to bring their own ideas as explicit feedback will be sought and will be part of the discussion.