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There’s a lot of uncertainty among K-12 leaders and educators over what AI means for their future. One thing is clear: AI might not replace you, but someone who knows how to use it will.

While educators are thinking about how artificial intelligence will impact instruction, there’s a generation of students who will need to be prepared for an AI-powered future. What does the field need to prepare young people for this eventuality?

Peter DeWitt will be joined by high school principal Kip Cruz, EdWeek’s Deputy Managing Editor Kevin Bushweller, and Ken Koedinger, Hillman Professor of computer Science at Carnegie Mellon University.

Kevin Bushweller

Deputy Managing Editor, Education Week, Assistant Managing Editor, Technology and Learning Environments

Kevin Bushweller is a deputy managing editor for Education Week who oversees coverage of educational technology, learning environments, and the weekly EdWeek Tech Leader, a news service for ed-tech leaders in K-12 education. He is also the executive project editor of Technology Counts, Education Week’s annual report about the state of educational technology in U.S. schools.

Dr. Kip Glazer

Principal, Mountain View High School

Dr. Kip Glazer is a proud Principal of Mountain View High School in Mountain View California, home of Google and in the heart of Silicon Valley. She has been a classroom teacher, technology coach, and school administrator for over two decades. She is passionate about connecting researchers and practitioners. She holds a Learning Technologies Doctorate from Pepperdine University, and she has expertise in AI, game-based learning, and educational technologies. In recent years, she participated in several AI-related webinars hosted by Educator CIRCLS, a project funded by the National Science Foundation. She also participated in the webinar hosted by the US Department of Education’s Office of Education Technology at the launch of the official report, “Artificial Intelligence and the Future of Teaching and Learning.” She is a 2023 CSTA Equity Fellow and a member of the Engage AI Practitioner Advisory Board. She is an experienced writer, speaker, and presenter. You can find her on LinkedIn.

Kenneth Koedinger

Hillman Professor of Computer Science, Carnegie Mellon University

Ken Koedinger is the Hillman Professor of Computer Science at Carnegie Mellon University. His research has contributed new principles and techniques for engineering effective learning summarized in the Knowledge-Learning-Instruction (KLI) Framework. To support the application of KLI and drive innovation in learning, Koedinger provides learning engineering resources and education through LearnLab, including an open learning data analytics infrastructure. A former high school teacher, he is well known for developing intelligent tutoring systems for mathematics, which use AI to provide students with personalized learning support. He helped form Carnegie Learning which was the first AI in Education company to bring intelligent tutoring technology to K12 students.  He is a fellow of Cognitive Science, the Association of Psychological Science, and the Association of Computing Machinery.

Peter DeWitt

Opinion Contributor, Education Week

A former K-5 public school principal turned author, presenter, and leadership coach, Peter DeWitt provides insights and advice for education leaders. He pens an opinion blog for Education Week, Finding Common Ground and is the host of A Seat at the Table.

For all webinars broadcast by Education Week after August 1, 2019, Certificates of Completion are available to all registered live attendees who attend 53 minutes or more of this webinar. Educators can download a PDF certificate verifying 1 hour of Professional Development credit. As with all professional development hours delivered, Education Week recommends each educator verify ahead of the webinar broadcast that the content will qualify for professional development in your school, district, county, or state with your supervisor, human resources professional, and/or principal or superintendent’s office.

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A Seat at the Table: Is AI Out to Take Your Job or Help You Do It Better?

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