We’ll begin by grounding the audience in real-world data from over 9,000 new teacher users of an AI classroom tool, highlighting engagement segments, usage timing, and shifts in feature preferences.
Findings will be connected to design challenges and opportunities, specifically around usability, sustained value, and trust in AI tools for educators.
Audience members will interpret the data through quick polls, device-based quizzes, and peer discussions that prompt reflection on their own contexts.
Participants will engage in a hands-on design sprint, collaborating in small groups to generate practical strategies for responsible AI implementation in schools.
We’ll conclude with shared guiding principles for policymakers, and district leaders aiming to scale AI equitably and sustainably.
Engagement will be active and ongoing through live polls and other activities
In this session, participants will:
Interpret empirical engagement typologies and retention challenges from real-world AI tool deployment
Map the implications of usage timing and feature preferences onto adoption strategies in their own districts
Explore a design framework for AI tools in education grounded in teacher workflows, sustained value, and scalability
https://scale.stanford.edu/research-in-action/how-k12-educators-engaging-with-ai
Posters in this theme:
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