Zachary Pardos

Title

Associate Professor

Department

Graduate School of Education

School of Information

Faculty URL

https://gse.berkeley.edu/zachary-pardos

Research Group

http://github.com/CAHLR

pardos@berkeley.edu

Phone

(321) 219-9224

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Research Expertise and Interest

knowledge representation, Adaptive Learning, Learning Analytics, Recommender Systems, Education Data Mining, data science, higher education, Digital Learning Environments, Cognitive Modeling, Big Data in Education, Knowledge Tracing, Formative Assessment, intelligent tutoring systems, Massive Open Online Courses, machine learning, Online Learning, psychometrics

Research Description

Dr. Pardos is an Associate Professor at UC Berkeley studying adaptive learning and AI. His current research focuses on knowledge representation and recommender systems approaches to increasing credit mobility and degree attainment in postsecondary education using behavioral and semantic data.

He earned his PhD in Computer Science at Worcester Polytechnic Institute with a dissertation on computational models of cognitive mastery. Funded by a National Science Foundation Fellowship (GK-12), he spent extensive time with K-12 educators and students working to integrate educational technology into the curriculum as a formative assessment tool. After completing his PhD in 2012, he spent one year as a Postdoctoral Associate at the Massachusetts Institute of Technology applying adaptive learning paradigms to Massive Open Online Courses. At Cal, he directs the Computational Approaches to Human Learning research lab, teaches in the Graduate School of Education and the Division of Computing, Data Science, and Society, and is an affiliated faculty in Cognitive Science.

Social media:
https://twitter.com/zpardos
https://www.linkedin.com/in/zacharypardos/

In the News

May 27, 2020

The pandemic could open a door to new technology — and dramatic innovation — in education

Disaster is a laboratory for innovation. During a war, or in the aftermath of an earthquake, whole societies mobilize to answer the immediate challenge, while a cadre of researchers looks for a way to transform the crisis into advances that will improve lives, or save lives, in the future.

September 30, 2019

Zach Pardos is Using Machine Learning to Broaden Pathways from Community College

UC Berkeley Assistant Professor Zachary Pardos and his team have developed a machine learning approach that promises to help more community college students position themselves to transfer and succeed at four-year colleges and universities.

Zachary Pardos

In the News

The pandemic could open a door to new technology — and dramatic innovation — in education

Zach Pardos is Using Machine Learning to Broaden Pathways from Community College

Latest News

Update Faculty Profile

In the News

The pandemic could open a door to new technology — and dramatic innovation — in education

Zach Pardos is Using Machine Learning to Broaden Pathways from Community College