As AI becomes increasingly important across nearly all fields, people are finding it more necessary to understand basic AI and machine learning concepts. This is especially true for students in non-STEM fields who are increasingly encountering AI in research, communication, education, and professional life. Yet these topics are often introduced in ways that feel abstract or overly technical. This project explores strategies to help make AI and machine learning more accessible, relevant, and engaging for such students, and the general public by extension.

The project focuses on developing and investigating strategies that connect AI and machine learning concepts to students’ own experiences, interests, and areas of knowledge. These may include culturally and experientially oriented analogies, game-like learning activities, social-media-style formats, and other creative approaches that make learning more enjoyable and meaningful. The project will also involve developing learning resources based on these strategies and, where feasible, trying them out to see how helpful they are for understanding and engagement.