Assoc Prof Zachary A PARDOS

Biography

Dr. Zachary Pardos is an Associate Professor of Education at UC Berkeley studying adaptive learning and AI. His early scholarship focused on formative assessment using Knowledge Tracing, the predominant model used for estimating skill mastery in computer tutoring system contexts. His recent work designing Human-AI collaborations to pave pathways to and between systems of higher education has been published in venues such as Computers & Education, NeurIPS, The Internet and Higher Education, and Science. This work has included the development of high-quality AI-assistive tools used by tens of thousands of students, administrators, and faculty to support advising, course selection, and STEM subject learning at community colleges and universities. Dr. Pardos earned his PhD in Computer Science from Worcester Polytechnic Institute, followed by a post-doc at the Massachusetts Institute of Technology. At UC Berkeley, he directs the Computational Approaches to Human Learning research lab, teaches in the data science undergraduate program, and is an affiliated faculty in Cognitive Science.

Learn more about Assoc Prof Zachary A PARDOS's Invited Talk: Generative AI for Adaptive Tutoring and College Student Success