NotebookLM has become a popular tool for students and teachers. We commonly hear that both groups like NotebookLM because it supports the student without doing the work for them. We'll look at some of the ways that teachers and students use NotebookLM and what that may suggest about how AI can support learning and learners.

The real promise of this moment focused on AI in education isn't about the technology. It is a chance to refocus on what has always mattered most including designing learning environments grounded in the science of learning, strengthening the skills that students will need long after the tools have changed, and prioritizing relationships and human connection that an algorithm cannot replace. This is our opportunity to look past the hype cycle and ask how we build classrooms where AI becomes one more resource in the service of something far bigger.

Most AI tools for teachers are built somewhere else and dropped into classrooms. This one was built with them. Over the past year, we've been working with public education ministries in Mexico and Argentina to co-design an AI-powered pedagogical assistant for teachers — starting not with the technology, but with surveys of 5,000+ educators about what actually slows them down. The answer wasn't surprising: lesson planning, adapting materials for mixed-ability groups, and navigating official curriculum requirements take up more time than most education researchers assume. The assistant we built — Digimente IA — does something deliberately simple: it asks teachers about their students before generating anything. Group size, learning needs, school context, curriculum alignment. The teacher's knowledge comes first; the AI fills in labor. Participants will explore the design decisions behind that approach, test the tool's core interactions, and work through a case from a real teacher in a rural school in Hidalgo, Mexico.

In the age of artificial intelligence, young learners need opportunities to explore ethical issues created by the increasing integration of technology and AI into our world, and science fiction can be an excellent spark for these crucial conversations. During this interactive session, YA sci-fi author Nicole Marie will engage participants in choose-your-own-adventure discussion activities that invite them to consider the underlying consequences of using AI.

Our specialist maths school is located awkwardly in North London and yet our students travel from as far as Kent and Berkshire, which are gruelling two-hour commutes each way. We asked our students why they do this, and they said they found value in learning with each other and in our teaching. This session explores how rich, human-centered mathematical experiences can help students feel as though they could have invented the mathematics themselves.

Description coming soon.

This session encourages people to, at least temporarily, “drop in” in their AI-ing. We'll explore what the least hesitant AI users are doing in education and software development, and work to remove some of our own hesitation through naming it, solving for it, and understanding a few concepts about what AI really is.

AI is arriving in classrooms faster than most schools can respond — and the gap between teacher anxiety and leadership strategy is widening. This interactive workshop brings teachers and school leaders into the same room to close that gap together through practical tool exploration, ethics and equity conversations, and a collaborative 30-day action planning session.

As AI reshapes how we learn, work, and create, the most valuable skills may be the ones technology cannot replicate. Drawing on two decades of experience in technology leadership and mindfulness practice, Manpreet Singh explores how educators and leaders can thrive alongside AI by cultivating uniquely human strengths.

Educators today are navigating increasingly complex classrooms, supporting students with diverse learning, behavioral, and emotional needs in real time. This session examines how emerging applications of AI can help close the gap between evidence-based knowledge and real-time classroom practice for neurodivergent and twice-exceptional learners.

As schools race to integrate generative AI, immediate student access introduces compliance and pedagogical risks. Through a scaffolded gatekeeping framework, young learners are taught foundational AI literacy before being granted tool access. Participants will analyze use cases from an IB PYP school and leave with an actionable school design strategy.

An interactive experience for educators and learning designers to understand the power of fictional characters as facilitators of children's creative learning experiences. The session includes character-based reflection questions, DIY activities, AI animation, and a “character petting zoo” installation.

Curiosity Games: Project Mars is an immersive Algebra 1 learning platform that combines game-based learning, adaptive AI support, and real-time analytics to boost student engagement and mastery in mathematics. Developed through a human-in-the-loop approach, the platform keeps curiosity and human-centered learning at the core.

Imagine having your teacher available anytime. Build A Teacher turns real classroom materials into interactive AI teacher clones that teach the way your teacher does. It learns from lessons to capture voice, tone, pacing, and teaching style so it understands not just the content, but how it is taught.

Most AI in education is designed to reach children directly and is often focused on literacy and numeracy. This poster challenges that default by exploring how AI can support whole child flourishing through parents, community caregivers, teachers, and other adults who shape a child's environment.