What Comes Next: Reimagining K12 Education in the Age of AI
Dec. 16, 2025
Two and a half years after ChatGPT’s launch, generative AI capabilities have advanced at breakneck speed, yet schools are only beginning to grasp what’s at stake. While AI usage skyrockets among students and teachers, deep thinking about how K-12 institutions must fundamentally evolve remains scarce. This summer, AI for Education brought together 20 experts and students for an unprecedented convening inspired by the AI 2027 project. Join us as we share what we learned and how you can bring this process to your own community.
What we’ll cover:
Why this work matters now: After 2.5 years of ChatGPT, why collective imagination through scenario planning is essential for moving schools from reactive policies to proactive transformation
Voices from the convening: Hear from a student participant and a state-level education leader about what surprised them, what they learned, and why bringing together diverse stakeholders changed their thinking
Preview of the full project and toolkit: Get an early look at our research findings and access practical frameworks for hosting your own scenario-based convening in your community
Can’t make the time? A recording + resources will be emailed to all registrants.
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Amanda Bickerstaff
Amanda is the Founder and CEO of AI for Education. A former high school science teacher and EdTech executive with over 20 years of experience in the education sector, she has a deep understanding of the challenges and opportunities that AI can offer. She is a frequent consultant, speaker, and writer on the topic of AI in education, leading workshops and professional learning across both K12 and Higher Ed. Amanda is committed to helping schools and teachers maximize their potential through the ethical and equitable adoption of AI.
Chris Agnew
Chris leads the AI Hub for Education at the Stanford Accelerator for Learning, aiming to be the trusted source for education system leaders on what’s working (and what’s not) to benefit students and schools and to reimagine learning. Across 25 years in experiential and applied education, Chris has both taught and led organizations in K12 and post secondary. Prior to Stanford, Chris led US higher ed strategy and credentials for Multiverse, an edtech startup using professional apprenticeships as an alternative to college and university.
Joba Adisa
‘Joba Adisa is a postdoctoral fellow in Human-Centered Artificial Intelligence at Stanford University’s Graduate School of Education. He works with Professor Victor Lee on the CRAFT (Classroom-Ready Resources About AI for Teaching) project, where his research focuses on expanding participation in AI and data science education across formal and informal learning spaces. ‘Joba examines how educators and students can apply, critique, and responsibly collaborate with AI tools for learning. He has partnered with teachers, school districts, and organizations such as Google Research to co-develop classroom resources and games that make AI education accessible to all learners. He also leads professional development workshops for educators, helping schools integrate AI and data science in meaningful and equitable ways. Before joining Stanford, ‘Joba earned his Ph.D. in Learning Sciences from Clemson University, where he developed programs introducing students in the U.S. and Africa to the foundations of AI and data science.