Artificial Intelligence for Data Analysis in Education

Catalog description

This course explores how AI is transforming the collection, analysis, and use of educational data to understand and improve learning. As digital platforms and sensor-based systems generate increasingly rich data, educators and researchers use machine learning and large language models to uncover patterns, generate insights, and support decision-making at scale. The course introduces AI methods for data analysis through three lenses: conceptual foundations for interpreting evidence, hands-on experience with AI-augmented analysis and visualization, and critical examination of ethical, institutional, and societal implications. Students work with real educational datasets to study data preparation, exploratory, predictive analysis, dashboards, and analytic sense-making, while addressing validity, bias, data rights, and responsible AI use. No prior technical background is required.