Project

The project examines the growing impact of artificial intelligence on biostatistics education, using evidence from PH302 (Summer 2025). It argues that traditional biostatistics assessments—largely based on established theories, formulaic problem-solving, and closed-ended questions—are highly susceptible to AI completion. Empirical comparisons show that AI systems such as ChatGPT and Gemini achieved near-perfect performance on both homework and exam-style questions, often exceeding student outcomes while providing detailed, step-by-step solutions. The findings highlight a critical shift: while AI enhances accessibility and efficiency, it also challenges the validity of conventional assignments as measures of student learning. The presentation concludes that, rather than restricting AI use, educational strategies should evolve to incorporate AI literacy, emphasizing appropriate usage, critical evaluation, and deeper conceptual understanding.