"How can we learn and use AI at the same time?": Participatory Design of GenAI with High School Students
Project Overview
The document explores the incorporation of generative AI (GenAI) in high school education, underscoring the importance of student engagement in shaping AI tools and policies. Through a participatory design workshop, students expressed significant concerns regarding issues such as bias, misinformation, and academic integrity associated with AI technologies. They emphasized the necessity for their voices to be included in the development process of GenAI applications, advocating for guidelines that ensure ethical usage and responsible design. The findings reveal that when students are involved in the conversation about AI, they can provide valuable insights that help address potential risks and enhance educational outcomes. Overall, the document highlights both the transformative potential of generative AI in education and the critical need for collaborative efforts that prioritize student perspectives to create effective and trustworthy AI tools in the learning environment.
Key Applications
Participatory design of GenAI tools and school policies
Context: High school education, targeting high school students (ages 14-17)
Implementation: Conducted a participatory design workshop with 17 high school students to brainstorm and design GenAI tools and school policies addressing their concerns.
Outcomes: Students identified issues such as bias, misinformation, and over-reliance on AI. They proposed actionable guidelines for AI tool developers, emphasizing the importance of transparency, accessibility, and ethical use.
Challenges: Concerns regarding the reliability of AI detectors, potential for academic dishonesty, and the need for teacher AI literacy.
Implementation Barriers
Technical barrier
Inaccurate AI detectors that may lead to false accusations of cheating. Concerns about bias, misinformation, and data privacy in AI-generated content.
Proposed Solutions: Students proposed prioritizing in-class assignments and designing AI tools that provide hints instead of direct answers to foster learning. Additionally, AI should cite its sources and be trained on diverse datasets to minimize bias and misinformation.
Educational barrier
Lack of teacher AI literacy and knowledge about GenAI tools.
Proposed Solutions: Students proposed increased AI training for educators and collaboration between students and teachers to enhance understanding.
Project Team
Isabella Pu
Researcher
Prerna Ravi
Researcher
Linh Dieu Dinh
Researcher
Chelsea Joe
Researcher
Caitlin Ogoe
Researcher
Zixuan Li
Researcher
Cynthia Breazeal
Researcher
Anastasia K. Ostrowski
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Isabella Pu, Prerna Ravi, Linh Dieu Dinh, Chelsea Joe, Caitlin Ogoe, Zixuan Li, Cynthia Breazeal, Anastasia K. Ostrowski
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