Principal Investigator (2027-). This design-based study envisions a mathematics curriculum centered on data handling and probability, embedding real-world AI contexts into conventional mathematical topics. Rather than focusing on introducing new and rapidly evolving technologies, this study adapts existing curricular materials to reflect students’ everyday experiences with AI. Topics such as statistical charts, central tendency, data dispersion, and probability are reframed using familiar AI-related scenarios. Theoretically, the study contributes to understanding AI’s interdisciplinary nature through the lens of boundary crossing, emphasizing the foundational yet often implicit connections between AI and mathematics. Practically, it offers an immediate solution and model for integrating AI into mathematics education without requiring extensive retraining or new technologies.
Funded by the Research Grants Council of Hong Kong, General Research Fund ($435,415 HKD). https://cerg1.ugc.edu.hk/cergprod/scrrm00542.jsp?proj_id=14600026
Oi-Lam Ng 