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Innovation Science for Education Analytics (ISEA)

ISEA: A Data Science Training Program to Advance Educational Research and Practice

With the rise of artificial intelligence (AI) in all aspects of society, there has been an increasing talent gap in AI and machine learning (ML), especially in applying these methods in educational research and technology development. Through a collaboration between the UW College of Education, the UW eScience Institute, and faculty from other higher education institutions including the University of Oregon, the University of Maryland, and Vanderbilt University, a training program called Innovation Science for Education Analytics (ISEA) has launched in January 2024 thanks to a 3-year grant from the Institute of Education Sciences (IES). 

ISEA seeks to advance computational and analytic capacity in K-12 education. The program will recruit a cohort of 20 fellows each year with the goal of developing a new pool of talented individuals who have integrated expertise across engineering, statistics, and K-12 education. ISEA is designed as a targeted training program that emphasizes state-of-the-art data analytics informed by education domain knowledge, computational workflows, immediate applications, and career advising.


Application Open!

The application to the 2024-25 cohort is now open! To apply, please fill out the form below.

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2023 – 2024 ISEA Program

Learning Resources


People

Core Faculty

Dr. Min Sun
Principal Investigator

Professor in Education, Founder and Co-Director of EPAL

Dr. David A. C. Beck
Co-Principal Investigator

Director of Education and Research at eScience Institute, Research Associate Professor in Engineering

Dr. Sarah Stone
Co-Principal Investigator

Executive Director of the University of Washington eScience Institute

Dr. Patrick C. Kennedy
Co-Principal Investigator

Senior Research Associate, University of Oregon

Instructors

Expert faculty will instruct individual webinar sessions pertaining to their interests and expertise, mentor fellows on their projects, and engage in generative discussions. We identified five leading scholars with deep education data science expertise across a broad range of content domains who have agreed to serve as our instructors.

Dr. Jing Liu
Assistant Professor

University of Maryland

Dr. David Knight
Associate Professor

University of Washington College of Education

Dr. Wei Ai
Assistant Professor

University of Maryland

Dr. Christopher A. Candelaria
Assistant Professor

Vanderbilt University

Instructional Support Team

Edouard Seryozhenkov
Data Scientist

Master of Science in Data Science (MSDS), University of Washington

LinkedIn Profile

Advisory Board

We have recruited renowned scholars in education data analytics and industry leaders in K-12 and EdTech to guide the ISEA training.

Dr. Susanna Loeb
Director

Annenberg Institute at Brown University

Dr. Zachary Pardos
Associate Professor

University of California, Berkeley

Adam Geller
CEO

Edthena

Dr. Lief Esbenshade
Senior Product Analyst

Google Education

Dr. Eric Anderson
Director of Research and Evaluation

Seattle Public Schools

Dr. Kristin Tolle
Former Director

Data Science Initiative in Microsoft Research

Funding Information