ISEA Summer Hackweek is Around the Corner

The ISEA (Innovation Science for Education Analytics) program is a data science training program, specialized in applying artificial intelligence and machine learning (AI/ML) techniques in educational research and technology development. The program is funded by the Institute of Education Sciences (IES), and offered by a collaboration among faculty from the UW College of Education, the UW eScience Institute, and other higher education institutions including the University of Oregon, the University of Maryland, and Vanderbilt University.

The Hackweek will bring together ISEA fellows and faculty members to use data analytics, software design and development, and research skills to tackle real-world educational issues. From July 8th to July 12th, the fellows will work full-time as teams, complete or make significant progress on the sponsors’ projects under the sponsors’ guidance and the faculty’s support. For projects that cannot be completed within the Hackweek time, they will continue to work on them after the Hackweek. Products and findings will be presented at the Fall Virtual conference.

Visit the Hackweek Page

Colleague AI Launch Event Program Agenda

May 15, 2024 4:00 – 5:30 pm PST

Event Zoom Link

Time	Agenda
4:00	Welcome and Introduce Colleague.AI’s design principle and history Dr. Min Sun (Professor, University of Washington)
4:10	Demo 1: Find Lesson, AI-Powered Quality Checking, Nudging Chat, In-text Editing. 1 minute Demo: Dr. Min Sun Use Case 1: Florinda Gorostiza (5^th Grade Teacher): Nudging chat to develop inclusive strategies For multi-language learners and students with disabilities Use Case 2: Tim Chalberg (Secondary Mathematics Instructional Facilitator): AI prompt to develop student discourse and group activities
4:25	Demo 2: Generate Lesson: Use case sharing, and teacher reflections 1 minute Demo: Dr. Min Sun Use Case 1: Nupur Arora (Elementary Math Interventionist): Generating an elementary grade lesson about associative property of multiplication with learning progression. Use Case 2: Hayley Spohn (Secondary Math Teacher): Improving an AI-generated lesson about statistics and MAD.
4:40	PSESD who Present District Partners Will Share Dr. Kevin Ikeda, Director, STEM & P3 Systems Dr. Monique Cabellon, Math Program Manager Dr. Trinh Pham, Director of Education Technology Learning, Teaching and Family Support
4:50	Demo 3: Brainstorm Ideas: 1 minute Demo: Dr. Min Sun Use Case 1: Cory Needham (High School Mathematics Teacher): Brainstorming ideas for an engaging assignment and its grading rubric. Use Case 2: Myranda McDonald (Program Manager): Designing warm-up activities to support students’ social emotional learning (SEL)
5:05	New Features in the Pipeline Kevin He, CEO of Hensun Innovation LLC
5:10	Q&A
5:28-5:30	Closing & Appreciations Dr. Min Sun

Printable Agenda

WERA Conference

Dr. Sun joins a group of experts to discuss the pros and cons of AI in K-12 education at the pre-Conference of the Washington Educational Research Association

Learn More

Innovation Science for Education Analytics (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, especially in applying these tools in education. 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 and the University of Maryland, a training program called Innovation Science for Education Analytics (ISEA) will launch 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 15-20 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.

The program is recruiting education researchers, school district data analysts, and technology industry employees who have some background in statistics. Graduate students, post-doctoral students, early career researchers and assistant professors who are interested in deepening their knowledge of engineering and machine learning, specifically for education data science, are encouraged to apply. District and state data scientists as well as industry professionals who would like to shapen their skills or integrate educational domain knowledge in their work are also encouraged to apply.

To be eligible for the training program, fellows must:

Be a US citizen or permanent resident
Have obtained a bachelor’s degree by September 2023
Have at least some familiarity with statistics and computational software
Have a strong interest in educational data science
Maintain a commitment to collaboration and educational equity

We are currently recruiting our first cohort of fellows for the 2023-24 academic year. The first year of the program will run from January 2024 through July 2024 and will require a part-time commitment from fellows (approx. 3-5 hrs/wk remotely between January and May 2024 in addition to required full-time participation in an in-person one-week Hackweek in late June/early July 2024 in Seattle, WA). We will offer limited travel support for fellows who need financial support to attend in-person Hackweek.

The application timeline is as follows:

August 15, 2023: Application opens
October 21, 2023: Application closes
November 6, 2023: Interview notifications
November 27, 2023: Final application decision notifications

For additional questions, please contact Lovenoor Aulck (laulck@uw.edu) and Min Sun (misun@uw.edu).

Learn More