The Ethical Use of AI in Student Grading
Year: 2025
Type: conference-paper
Abstract: 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.
Authors: Chamberlin, Brandi, Simmons, Robyn
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7113645976
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