Student-Centered Approach to AI in the Classroom: Faculty Tailored AI Mentor Pilot Program at GW (TrailsCon Conference)
This poster was presented at the AI at Work: Building and Evaluating Trust by the Institute for Trustworthy AI in Law and Society (TRAILS) conference on February 3, 2025.
As AI adoption accelerates globally, higher education faces both unprecedented opportunities and challenges. A recent Global AI Student Survey found that 86% of students routinely use AI in their studies, yet many struggle with poor AI literacy and a lack of institutional guidance1. Compounding this issue, students and faculty often unknowingly compromise data privacy by uploading sensitive materials to general-purpose AI tools.
The AI Mentor Pilot Program addresses these challenges by developing AI Mentors using instructor-provided content and guidelines. This research study draws on user feedback and tool usage data from the Pilot Program to evaluate the effectiveness of AI Mentors on student learning outcomes, assess their impact on instructor workload, and examine the ethical dimensions of AI interactions, including bias, trust, and misinformation.
[1] Digital Education Council (2024). AI or Not AI: What Students Want. Digital Education Council Global AI Student Survey 2024.
