Student-Driven Recommendations on AI Policy
In a Design Classroom
Role: Graduate Research Assistant | Timeline: Jan 2025-Present
Advisor: Dr. Yasmine Kotturi
Overview
With the increasing integration of generative AI in education, policies governing its use are often created without direct student input. This gap can lead to policies that do not align with students' needs or learning experiences. By positioning students as “lead users” (Von Hippel, 2006)—early adopters of generative AI in education—our project aims to address this issue by developing student-authored AI policies to better support their learning outcomes. Through understanding how students perceive AI and its role in their coursework, this research provides actionable insights that can inform future AI policies in design education.
Research Questions
R1: How do students perceive AI integration into a design course?
R2: How can student-driven policies inform generative AI use in classroom settings?
Participants
9 students who took HCC629: Fundamentals of Human-Centered Computing at the University of Maryland, Baltimore County (UMBC) in Fall 2024 with Dr. Yasmine Kotturi.
Methods
- A three-part participatory workshop series
- Pre- and post-workshop surveys
- Follow-up interviews
Project Timeline
Recruitment
Screening surveys to identify participants
February 2025Workshop 1
Brainstorming policy recommendations through candid conversations
March 28, 2025Workshop 2
Curating policy recommendations through student-authored zine making
April 11, 2025Workshop 3
Applying policy recommendations through interface redesign activity
April 25, 2025Follow-up Interviews
Investigate deeper insights from selected participants who left interesting comments during the workshops
June - July, 2025Data Analysis
Conduct qualitative and quantitative analysis on surveys, discussions, and interviews
Mid June - Mid August 2025Paper Writing
Presenting findings at CHI 2026
Mid-August - Early September 2025Next Steps
Circulate the curated zines on campus
Develop my Master's thesis
Sept - Dec 2025Workshop Photos
Workshop 1
Workshop 2
Responsibilities
- Designed and led a three-part participatory workshop series with 9 student participants
- Conducted qualitative thematic analysis on workshops' audio transcriptions
- Developed IRB Protocol and managed compensations for participants
- Coordinated the curation of final policy artifacts, including zines and redesigned GenAI interface mockups
- Submitted the paper based on this study to CHI 2026
Findings
Findings highlight the need for protected spaces to discuss unfiltered practice among students, and suggest that student-authored policies may foster clearer expectations and more purposeful use of AI in the classroom
Student-authored zines with policy recommendations
UPDATE-2025/10/22🎉 The zines have been officially archived at UMBC Albin O. Kuhn Library & Gallery - both digitally and physically, and is featured in their Artificial Intelligence & AI Literacy guide!
Note: This is an interactive prototype. You can click to navigate through the zine pages.