AI+Education Summit 2026: How AI is Transforming How We Teach

The panel provides a valuable, grounded perspective on AI in education, drawing from direct experiences in classrooms and youth-led research. The strength of the discussion lies in its focus on student voice and the practical challenges of implementing AI in diverse educational settings. Daniela DiGiacomo’s presentation of the Kentucky Student Voice Team’s research is particularly compelling, as it is based on a substantial survey (850 responses) and upcoming interviews, offering empirical insights into student attitudes. The ‘AI Driver’s License’ framework presented by Mike Taubman is innovative and thoughtfully designed, addressing both technical and ethical dimensions of AI literacy. The anecdotes about students using AI to code an app and create a contract effectively illustrate the potential for AI to accelerate project implementation while highlighting the need for critical thinking and responsibility. However, the discussion is largely anecdotal and lacks rigorous scientific evaluation of outcomes. The panelists acknowledge the challenges but do not provide concrete solutions or data on effectiveness. The conversation also touches on the variability of AI policies, which is a significant issue, but the discussion remains at a surface level. The potential shift of teachers to coaching roles is mentioned but not deeply explored. Overall, the content is informative and relevant, but it would benefit from more systematic evidence and a deeper analysis of the implications. The title accurately reflects the content, and the panel’s focus on real-world stories aligns with the description. The presence of a brief sponsorship mention (Google.org) does not detract from the content. The discussion is accessible to a broad audience, but the lack of technical depth may be a limitation for those seeking detailed implementation strategies.

The title accurately reflects the content, which focuses on how AI is transforming teaching practices through real-world examples.

7/10

The panel features experienced educators and researchers discussing practical implementations and student perspectives on AI in education. While not peer-reviewed, the insights are grounded in real classroom experiences and ongoing research, providing credible qualitative evidence.

Markers derived by PSI from the transcript: the creator did not define chapters.

• 00:00Introduction by moderator and panelist introductions.
• 02:00Mike Taubman describes the AI Driver's License framework.
• 05:00Daniela DiGiacomo discusses youth-led research on AI perspectives.
• 08:00Loodwige Lince explains STEM From Dance's use of AI-generated videos.
• 10:00Panelists share what they learn from students about AI.
• 13:00Discussion on students' desire for teacher support and policy inconsistency.
• 15:00Mike Taubman shares anecdotes of students using AI for coding and contract creation.
• 18:00Panelists discuss the future role of teachers as coaches.

• Stanford HAI — The video is hosted on Stanford HAI's channel, and the panel is part of the AI+Education Summit.
• STEM From Dance — Loodwige Lince mentions her organization, STEM From Dance, which integrates technology and movement.
• Kentucky Student Voice Team — Daniela DiGiacomo mentions her involvement with the Kentucky Student Voice Team, a youth-led nonprofit.
• Uncommon Schools — Mike Taubman mentions his school, North Star Academy, which is part of Uncommon Schools.

• Stanford HAI — The video is hosted on Stanford HAI's channel, and the panel is part of the AI+Education Summit.