Advanced Topics in Computer Science: AI, Society, and Education

We examine the use of AI, algorithms, and machine learning to improve educational outcomes, expand access, and inform educators. Recent developments such as predictive personalization and generative AI present new risks and opportunities. Course readings address model design, intervention design and evaluation science (incl. causal inference), and discuss normative consequences. We also explore how educational research, particularly in educational measurement and statistics, can be brought to bear on the validity and evaluation challenges posed by modern ML. Students present readings and complete a final project.