Fostering AI Literacy through SDG-Oriented Hands-On Learning Activity for Non-CS Students

This study examines how AI learning activities can be designed to help non-computer science students apply AI tools to address real-world problems aligned with the United Nations Sustainable Development Goals (SDGs). A one-day hands-on workshop was implemented as the project in an introductory AI course, guiding students through goal setting, service design, prototype implementation, and ethical reflection. Students used Google Teachable Machine and Dialogflow Essentials to build AI-enabled prototypes that combined image and language understanding. To assess the outcomes, a survey was administered to first-year students, measuring AI conceptual understanding and perceptions of AI application authenticity. While no statistically significant differences in AI capability self-assessment were found, the students participating the workshop demonstrated more cautious and realistic views of AI applications. These findings suggest that experiential, interdisciplinary AI education can enhance critical engagement with AI technologies and support the development of socially responsible learners.