Using AI to Grade: Produce Richer Student Feedback Faster

Alternative Title

Using Artificial Intelligence (AI) to Grade: Produce Richer Student Feedback Faster

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 A

Start Date

28-5-2025 1:00 PM

End Date

28-5-2025 1:25 PM

Publisher

University of Central Florida Libraries

Keywords:

AI grading; Student feedback; Assessment accuracy; Ethical integration; Student perceptions

Subjects

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

Description

Have you considered using AI to help grade your students' submissions? Of course, you have! This session highlights the benefits of AI-assisted assessment and looks at recent studies comparing AI and human grading accuracy, shedding light on both strengths and biases. Critical issues like privacy and transparency will be addressed, alongside practical lessons learned from my year-long experimentation with AI grading. As a bonus, gain insight into how students perceive AI in grading and their expectations of faculty who use it. Join this session for actionable strategies to integrate AI grading tools ethically and effectively into your teaching practice.

Language

eng

Type

Presentation

Format

application/vnd.openxmlformats-officedocument.presentationml.presentation

Rights Statement

All Rights Reserved

Audience

Faculty, Students, Instructional designers

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May 28th, 1:00 PM May 28th, 1:25 PM

Using AI to Grade: Produce Richer Student Feedback Faster

Seminole A

Have you considered using AI to help grade your students' submissions? Of course, you have! This session highlights the benefits of AI-assisted assessment and looks at recent studies comparing AI and human grading accuracy, shedding light on both strengths and biases. Critical issues like privacy and transparency will be addressed, alongside practical lessons learned from my year-long experimentation with AI grading. As a bonus, gain insight into how students perceive AI in grading and their expectations of faculty who use it. Join this session for actionable strategies to integrate AI grading tools ethically and effectively into your teaching practice.