From Research to Practice: Insights from Stanford's Work on AI in Education
Dec. 11, 2025
Join us for our next free webinar with members of the Stanford Accelerator for Learning team for an insight-rich session on what's happening with AI in education today. We'll explore how their work is helping system leaders cut through the AI noise, highlighting real-world research from classrooms across the country. We'll showcase practical AI literacy resources for teachers from Stanford's CRAFT initiative and share new research on how AI is impacting academic integrity.
Attendees will leave with actionable insights, ready-to-use tools, and clear next steps to guide AI decision making and practice from the district to the classroom level.
In this session, we will:
Share findings from Stanford’s School-AI research repository, including how educators are using it to inform classroom practice.
Highlight CRAFT’s frameworks and resources for integrating AI competencies across disciplines.
Discuss trends, challenges, and opportunities in building ethical, practical AI literacy for educators and students.
Reflect on the balance between research, implementation, and integrity in the evolving AI landscape.
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.