Zachary A. Pardos

Zachary A. Pardos is an Associate Professor of Education at the University of California, Berkeley, where he directs the Computational Approaches to Human Learning (CAHL) Research Lab. He is also affiliated with the Cognitive Science program and serves as the Head Graduate Advisor there.

• PhD in Computer Science from Worcester Polytechnic Institute
• Bachelor's in Computer Science from Worcester Polytechnic Institute

His research focuses on adaptive learning systems, AI in education, and knowledge representation using behavioral and semantic data to enhance postsecondary student mobility. Key projects include the OATutor open-source adaptive tutoring system and the ATAIN infrastructure network.

Recent publications analyze large language models in education, Bayesian knowledge tracing optimizations, and psychometric validation of AI-generated content. Awards include Best Short Paper at EDM 2024 and Best Paper at L@S 2019.

• Active grants from Foundation for California Community Colleges, College Futures Foundation, and Accendium
• Past funding from NSF, Google, and Bill & Melinda Gates Foundation

He teaches DATA 144 (Data Mining and Analytics), EDUC C260F (Machine Learning in Education), and EDUC W161 (Digital Learning Environments). The CAHL research group explores equity, diversity, and AI's role in K-16 education.