AI& Exhibit Design I designed the educational component of the AI& Exhibition, focusing on how artificial intelligence could reshape future learning environments. The exhibit introduced speculative scenarios of AI in higher education, such as systems that analyze students’ learning patterns to recommend elective courses aligned with their interests and preferences.
It also explored how recorded lectures might be dynamically personalized, allowing learners to filter by features such as instructional style (e.g., use of a board), instructor characteristics, and vocal tone. In addition, the exhibition highlighted current efforts to integrate AI into public education curricula, emphasizing AI’s potential to support more personally relevant, flexible learning experiences.