DLS Talk by John Stamper, Carnegie Mellon University

Speaker:  Dr. John Stamper, Associate Professor, Human-Computer Institute, CMU

Title:  What is the role of Data Science in the era of Generative AI?

Abstract:  

Within the last few years Large Language Models (LLMs) have created renewed interest in AI in Education. Although LLMs have the potential to help students learn, we need data-informed insights more than ever. We explore how to best use data to inform AI for education, and best practices for the collection and curation of data from educational technologies.

Bio: 

John Stamper is an Associate Professor at the Human-Computer Interaction Institute at Carnegie Mellon University. He is also the Technical Director of the Pittsburgh Science of Learning Center DataShop. His primary areas of research include Educational Data Mining and Intelligent Tutoring Systems. As Technical Director, John oversees the DataShop, which is the largest open data repository of transactional educational data and a set of associated visualization and analysis tools for researchers in the learning sciences. John received his PhD in Information Technology from the University of North Carolina at Charlotte, holds an MBA from the University of Cincinnati, and a BS in Systems Analysis from Miami University.  Prior to returning to academia, John spent over ten years in the software industry including working with several start-ups.  

Host:  Ilya Musabirov, UBC Computer Science