AI in Education Summit Speakers & Presenters
Brave new words, bold new tools: how AI can help us personalize education, deepen human connection, and fulfil the mission of empowering every learner.
A strategic lens on integrating AI in schools—grounded in behavioural science and equity—to empower leaders in building ethical, inclusive, and student-centred learning environments.
Exploring the evolution of teacher education to support AI-native educators while preserving the essential human and social dimensions of teaching.
This session will explore how leaders can guide institutions through change, from effectively onboarding teachers to fostering academic integrity, with insights and examples from Menlo School’s approach.
An interactive keynote tackling the rise of 'brain rot' in the AI era—exploring how tools like Claude can sharpen critical thinking and redefine the boundaries of innovative edtech; come with your questions.
Discover how AI can help educators contextualise learning through the principles of project-based learning, empowering teacher-student co-design to meet the demands of a changing world.
A call for educators to lead the AI revolution—transforming classrooms with creative, ethical, and collaborative AI-forward teaching.
Explore how human-centred, transformational pedagogy can help educators lead AI learning that reshapes students as creators, thinkers, and citizens.
Join a forward-looking discussion on how students and educators are actively shaping AI's role in the classroom—exploring real-world use cases, evolving norms around ‘acceptable’ AI use, and the opportunities AI presents for deeply personalised, interest-driven learning by using NotebookLM.
In this neuroscience-informed maker lab, learn how to transform any LLM into a Socratic thought partner—fueling metacognition, creativity, and deeper learning through hands-on prompt engineering and brain-based strategies.
Khan Academy Reimagined for Districts 2026 which builds on years of research-backed learning gains to deliver even greater impact through aligned instructional content, actionable teacher insights, and Khanmigo student support. Learn how this new evolution helps districts accelerate mastery growth, close achievement gaps, and sustain measurable improvements in learning outcomes—at scale.
Explore how AI can support Universal Design for Learning by meeting diverse learning needs—including neurodiverse learners—through personalised, accessible, and student-centred strategies.
Explore how teachers can blend AI’s practical strengths with mindfulness, positive psychology, and emotional intelligence to empower students as active agents in their learning and wellbeing—building resilience, balance, and a stronger sense of belonging.
Experience a live math lesson using AI tools, then explore strategies to engage students, parents, and school communities in building trust and alignment around AI in education.
Explore the future of children’s education and AI literacy through the KID Device—an interactive platform designed for ages 4–14 that prioritizes creativity, safety, and responsible AI use.
Discover how emotionally intelligent AI can support neurodivergent learners by adapting academics, social-emotional needs, and IEP goals—redefining classrooms around equity, flexibility, and whole-child design
Learn how AI Owl is advancing practical, responsible AI literacy in schools through free training, real-world classroom integration, and the AI for Youth program—powered by partnerships like Khan Academy and Ohio’s TechCred Grant.
Uncover how AI characters in kids' apps and classrooms impact learning, with research-backed insights and practical guidance for designing safe, creative, and developmentally meaningful experiences.
Discover a groundbreaking school model that uses AI-driven, mastery-based learning to deliver core academics in two hours—freeing up time for enrichment, leadership, and deeper teacher-student connection.
Explore how to teach teens AI ethics through play—not just tools—drawing on real-world lessons from years of building AI systems and working on cutting-edge models at Meta.
This interactive and practical session will explore how constructivist and constructionist theories of learning—pioneered by visionaries such as Jean Piaget, Lev Vygotsky, John Dewey, Jerome Bruner, Maria Montessori, and Seymour Papert—can be reimagined in today’s learning environments through the use of artificial intelligence.
Khandor: an AI Google Chrome extension/assistant that can help students reconsider their online actions. It can be customized to any school’s rulebooks.
Discover how AI can move from assistant to collaborative partner by mapping a student’s unique brain blueprint to meaningful, personalised career pathways.
Explore how machine learning and NLP can detect ethical fallacies in real time—promoting media literacy and critical thinking through AI-powered argument analysis.
A high school researcher shares insights from a 230-participant study on AI and reading comprehension—bridging academic findings with the lived experience of AI in the classroom.
Dive into the latest AI literacy tools designed for young learners and gain hands-on experience with platforms that support interactive content creation, writing support, and personalised learning. Leave with ready-to-use strategies for integrating AI literacy into your curriculum in meaningful, age-appropriate ways.
Explore how AI-powered learning loops can support student reflection, decision-making, and growth—giving teachers real-time insight while building resilience, agency, and trust in the classroom.
Discover how Agrossey uses AI to deepen student–teacher relationships—helping educators capture conversations, craft meaningful narratives, and track student wellbeing to support connection, resilience, and belonging.
Grounded in doctoral research, this session explores how AI can help close learning gaps through personalised instruction, timely support, and teacher preparation—creating classrooms where every student feels seen and equipped to succeed.
Learn how school leaders at Visions in Education are building a scalable, equity-driven AI implementation model—featuring teacher training, policy design, student ethics tools, and one of California’s first AI CTE pathways.
Explore how teachers are using Yeti Co-Pilot’s AI-powered tools to co-plan, co-teach, and deliver targeted, inclusive instruction—supporting multilingual learners and driving measurable gains in literacy and math.
Learn how AI can help educators implement a neuroscience-backed executive function framework—empowering students with learning differences to manage tasks, build independence, and exceed expectations.
This student-led project explores how vision-language models like CLIP can improve biomedical diagnostics by applying zero-shot classification, prompt engineering, and linear probing to chest X-rays and histology images.
Through one educator’s journey from burnout to balance, discover how AI-powered prompts can support executive function, emotional regulation, and well-being for both teachers and students.
Learn how to design AI-powered ‘brain coaches’ that support executive function, emotional regulation, and independent learning—especially for neurodiverse students—through simple, human-centered strategies.
Dr. Tim Conway bridges decades of neuroscience and lived experience to show how evidence-based methods and AI can transform learning differences into measurable strengths, empowering every learner from early childhood onward.
Explore how teacher-centered AI tools can move beyond correctness checks to diagnose student misconceptions in math—turning recurring errors into powerful learning opportunities.
Join fellow educators to explore how students can use AI responsibly and ethically as a tool for inquiry, creativity, and deeper thinking. Leave with classroom-ready strategies that strengthen learning goals and help students engage with AI as a project partner, not a shortcut.
Discover how a student-built AI assistant trained on a beloved teacher’s lectures is transforming AP History study with personalized, lecture-style support at Lake Forest High School.
We asked: What if we didn’t just digitize the status quo? What if we designed tools around real people’s daily challenges—combining smart technology with human-first workflows that honor every learner’s potential?
A high school researcher, in collaboration with a UCSD PhD advisor, challenges the status quo of AI education—advocating for integrated, teacher-facing tools over generic skills to make AI meaningful across K–12 curricula.
Summit Public Schools’ Head of Culture and Dean of Instruction, reveals how English learners can use AI-powered visual storytelling to build vocabulary, precision, and confidence through playful, student-centered language practice.
Researchers and content managers from Lawrence Berkeley National Lab present hands-on Python projects that teach high schoolers machine learning through real-world STEM research data.
We’ll explore designing away from the risk of isolation in AI-enhanced learning and toward a connected approach that centers purpose, creativity, and joy. From seeding full project-based units to shorter, interactive lesson loops, you’ll leave with practical ideas to ensure your lessons are designed with, not by, AI.
Adoption sticks when leaders co-create a shared why. In this session, we’ll surface and prioritize rationales, from learning acceleration and learner agency to equity and career readiness, to shape a why unique to your community. You’ll leave with an informed approach to building broad support for innovative, responsible AI adoption.