Demystifying AI: Toward a Misconception-Driven Curriculum for Teaching AI Literacy (Poster 48)

• In Event: AERA Poster Session Sunday 8:00 a.m.
  In Poster Session: Integrating Generative AI in Education: Challenges and Opportunities

Abstract

AI-enhanced technologies, from household appliances to advanced medical diagnostics, are becoming ubiquitous. Despite their prevalence, non-experts often struggle with AI due to misconceptions, leading to unnecessary fears, misuse, or underutilization. Misconceptions are linked to a lack of understanding of AI across all ages and professions. Addressing this gap, our misconception-driven curriculum derives from common misconceptions to teach AI literacy effectively. We conducted a scoping review of studies on non-technical individuals' AI perceptions, using systematic searches, citation chaining, and citation tracking. Our findings reveal five key themes of misconceptions. We propose a curriculum addressing these themes to enhance AI literacy and ensure safe, ethical AI interaction.

Authors

• Lu Ding, University of South Alabama

• Tong Li, Ball State University