Ethical Thinking and Case Analysis in Artificial Intelligence Education

NSF Award Search · 04002526DB NSF STEM Education · $99,511 · view on nsf.gov ↗

Abstract

This IUSE Level 1 Engaged Student Learning project aims to serve the national interest by enhancing artificial intelligence (AI) education through the integration of ethical considerations in AI curricula, fostering design and development of responsible and secure AI systems. The project will develop an innovative pedagogical strategy that includes classroom discussions on AI ethics case studies and an open-access repository of case studies, to equip students with practical tools for ethical decision-making. Its unique feature is the case-based plug-and-play instructional module, which ensures adaptability and sustainability by accommodating different learning styles and enabling easy integration into AI-related courses. By advancing AI education with a scalable approach to ethics, the project supports the development of a responsible AI workforce and promotes the application of ethical principles in real-world AI challenges. The project plans to advance understanding of AI ethics education by integrating case studies and gamified learning modules to enhance undergraduate STEM students' engagement and proficiency, addressing the critical need for ethical reasoning in AI development. Project goals include designing an ethics-focused teaching strategy to foster engaged discussions, developing accessible plug-and- play instructional modules, and creating a case-in-game interactive visualization lab platform, all hosted in an online repository for broad accessibility. The met

Key facts

NSF award ID
2518487
Awardee
Indiana Institute of Technology (IN)
SAM.gov UEI
MGY9KUXT4PN3
PI
Xiaoli Yang
Primary program
04002526DB NSF STEM Education
All programs
AI Education/Workforce Develop, Improv Undergrad STEM Ed(IUSE), UNDERGRADUATE EDUCATION
Estimated total
$99,511
Funds obligated
$99,511
Transaction type
Standard Grant
Period
10/01/2025 → 09/30/2028