Rethinking Citation of AI Sources in Student-AI Collaboration within HCI Design Education
Project Overview
The document explores the role of generative AI tools in education, particularly within Human-Computer Interaction (HCI) and UX design courses. It addresses the challenges associated with citing AI-generated content, highlighting the necessity for evolving citation practices that reflect the unique and dynamic contributions of AI. The study reveals that students exhibit varied approaches to using and citing AI tools, which underscores the importance of fostering transparency and integrity in academic work. By advocating for reflective AI citation practices, the document suggests that such approaches can enhance students' design thinking and overall learning experiences. Ultimately, the findings call for a re-evaluation of existing citation norms to better accommodate the integration of AI in educational contexts, thereby promoting a more thoughtful engagement with these technologies in the design process.
Key Applications
AI tools for design processes (e.g., ChatGPT, Adobe Firefly)
Context: Undergraduate UX design course for students majoring in Design, Computing, and related fields.
Implementation: Students were encouraged to integrate AI tools into their design projects with minimal citation guidelines to observe naturalistic behaviors.
Outcomes: Increased awareness of AI's role in design, varied citation practices, and opportunities for reflective learning.
Challenges: Inconsistent citation practices, lack of clear guidelines, and potential stigma around disclosing AI usage.
Implementation Barriers
Pedagogical
Existing citation frameworks do not accommodate the dynamic and ephemeral nature of AI-generated content.
Proposed Solutions: Develop alternative citation strategies such as AI contribution statements and process-aware citation models that align with design education.
Cultural
Students may hesitate to disclose AI usage due to concerns about authenticity or perceived academic integrity.
Proposed Solutions: Encourage a culture of transparency and reflection in design education, framing AI citation as a valuable part of the design process.
Project Team
Prakash Shukla
Researcher
Suchismita Naik
Researcher
Ike Obi
Researcher
Jessica Backus
Researcher
Nancy Rasche
Researcher
Paul Parsons
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Prakash Shukla, Suchismita Naik, Ike Obi, Jessica Backus, Nancy Rasche, Paul Parsons
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai