AI in Education Summit 2026
Featured Speakers & Sessions
Explore keynote speakers, breakout sessions, poster presentations, and conversations led by educators, researchers, students, and innovators shaping the future of learning in the age of AI.
Isabelle Hau
Alex Kotran
Dr. Yi Zhang
Keeping Gen Alpha Human: A Framework for AI Adoption in Schools and Homes
Gen Alpha is the first generation growing up with AI across both classrooms and homes. As AI becomes embedded in learning, assessment, creation, communication, and decision-making, a new challenge surfaces: preparing education professionals including district and school leaders, teachers, instructional coaches, counselors, and technology staff to adopt AI in ways that support children's development and well-being. Drawing on research, organizational change, enterprise AI adoption, and field signals from K-12 educators and leaders, Dr. Yi Zhang introduces a practical adoption framework: Build Capacity, Practice Stewardship, and Preserve Humanity. Participants will leave with practical approaches to AI readiness, leadership, and long-term success.
Kip Glazer
How to Lead with AI
Based on my book and years of experience as a school leader, I will share strategies for school leaders on how they can lead their schools and organizations in the age of AI. I will share the practices that I engaged in at my school to highlight what has worked and what has not. The session is designed to provide a few strategies for school leaders.
Don’t Let the Pigeon Drive: Managing AI in a Human-Centered World
AI can write your students' essays, generate their code, and produce their art. So what's left for the humans? Everything that matters.
In this talk, I'll explore what it looks like to teach with AI rather than against it, drawing on real classroom experiences from both English and computer science. You'll see how students can use AI as a creative collaborator without surrendering the thinking that makes their work their own, and you'll leave with practical strategies for designing assignments where AI raises the ceiling instead of lowering the floor.
We'll tackle the questions keeping educators up at night: When does AI help students learn, and when does it just help them finish? How do we teach ownership in an age of infinite generation? And how do we stay honest about what we don't yet know? Come and experience a teacher's-eye view of what's working, what isn't, and what comes next.
Learning with NotebookLM
April Lehman and Anuja Agarwal
Breakout SessionNotebookLM 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.
AI in Education Isn't Really about AI
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.
When the Teacher Stays in Charge: Co-designing an AI Assistant with Public Schools in Latin America
Most AI tools are dropped into classrooms, but Digimente IA was built with teachers. Partnering with education ministries in Mexico and Argentina, we surveyed 5,000+ educators to tackle their biggest hurdles: lesson planning, adapting for mixed abilities, and navigating strict curriculums. The result is an AI assistant, fine-tuned on official frameworks, that puts human knowledge first. Before generating anything, Digimente IA asks about your specific students and school context—you provide the insight, and the AI handles the labor. In this hands-on workshop (no prior AI experience needed!), you will explore our co-design process, test the tool's core interactions, and work through an authentic case study from a rural school in Hidalgo, Mexico. We will also share candid lessons from our beta on why capturing classroom context is harder than it looks.
Inventing Mathematics: Why AI Can't Replace the Thrill of Discovery
Why do brilliant students endure grueling two-hour commutes to our North London specialist math school when AI could easily help them ace their exams from home? The answer lies in the community of fellow "math geeks" and our unique teaching philosophy. While AI might be a faster mathematician, it cannot replace the thrill of collaborative discovery. We use AI tools not to spoon-feed answers, but to create rich learning experiences where students uncover concepts as if they were inventing the math themselves under the tutelage of Newton or Pythagoras. In this session, I will showcase 5 to 10 lessons—like framing hyperbolics as regular trigonometry with imaginary angles—demonstrating how to teach meaningfully beyond the standard curriculum and keep human curiosity at the center of a high-tech classroom.
No Hesitation: What the Most Confident AI Users Are Doing Differently
Breakout SessionThis session encourages people to, at least temporarily, "drop in" in their AI-ing. We're all using these tools and most of us have a healthy skepticism. But, there's something important and valuable about how we do things when we're not hesitating.
You'd be exploring this idea and leave as a more confident practitioner of AI. Think — I'm taking a ski/tennis/rock-climbing lesson with a pro, but it's actually AI.
In the session, we'll explore what the least hesitant AI-ers are doing in education and in 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, so that we can lean into it when that that's the first thing to do.
AI for Educators: A New Era of Support for Diverse Learners
Breakout SessionEducators face complex classrooms with diverse neurodivergent and 2e learner needs—but evidence-based strategies rarely translate into real-time practice. This session explores how AI can close that gap by turning research into actionable, in-the-moment guidance.
Drawing on a collaboration between CHC, REEL, and an experienced educator/administrator, we'll apply strengths-based, neurodiversity-affirming frameworks. Using *Ellis*—a research-informed, chat-based AI thought partner—as a case example, we'll highlight four design principles:
- Translating evidence into contextual, decision-ready guidance
- Embedding strengths-based and neurodiversity-affirming approaches
- Supporting educator cognition and decision-making under time constraints
- Preserving human judgment and professional autonomy in AI-supported environments.
Scaffolded Access™: A K-8 Roadmap for Risk Management and Critical Thinking Protection
This session answers the question: How might we integrate AI in K-8 learning environments in a way that follows legal requirements and global standards, works within realistic resources and budget constraints, and prepares students for their future success? As schools integrate generative AI, immediate student access to Large Language Models can introduce compliance and pedagogical risks. This session offers The Cantilever Framework™, a plug-and-play model adaptable to K-8 school contexts globally. By building an AI literacy foundation early, schools can create a safe, thoughtful, and human-first culture around the technology.
The Cantilever Framework™ centers around:
* Legal requirements and global standards
* Staff professional development strategies
* Family partnership initiatives
* Student resources for age-based curricula
Attendees will leave with a roadmap for a K-8 AI literacy strategy that places the importance of humans first so that when students receive authorized access to these tools or encounter them outside of school, they are prepared to use them safely and critically.
Relevant Futures: Why Expanding AI Access in Urban Schools Cannot Wait
As AI reshapes the workforce and entry-level jobs shrink, AI proficiency is essential for economic mobility. Yet, underserved public schools—particularly in NYC, where 80% of students identify as Black or Brown—are slow to adopt meaningful AI education, risking widened opportunity gaps. In this session, educator Addy Salau shares insights from the Relevant Futures AI Discovery Lab, a six-session pilot for 20 freshman girls at Bedford Academy in Crown Heights. Learn how these students unpacked AI concepts, engaged in civic debates about its impact, and leveraged AI tools to design social impact projects rooted in their own passions. Discover why expanding AI access isn't just about technology adoption—it is a critical push to ensure imagination, creativity, and future economic mobility remain accessible to all students.
Building Trust, Transparency, and Thinking: AI-Integrated Learning Routines
As AI tools become increasingly accessible, the most important classroom shift is not choosing the right tool, but helping students develop the durable skills needed for future human flourishing. Whether students are actively using AI or simply living in a world shaped by it, they need opportunities to build trust, practice transparency, and strengthen their thinking.
This workshop session explores practical AI-integrated classroom routines that help students understand how AI works, engage with it honestly, and remain active participants in the learning process. Participants will examine routines that promote transparency around AI use, foster trust between students and teachers, and encourage critical thinking, metacognitive reflection, evaluation of outputs, and thoughtful decision-making over time. Rather than focusing solely on what AI can do, this workshop centers on the classroom structures and habits that help students grow in agency, discernment, and wisdom.
Workshop - Community Voices, Evaluating AI Risks and Reward
Breakout SessionThis lesson engages students in the potential costs and benefits of using AI for real-world problems, perspective-taking and empathy building, and using critical thinking to analyze their decisions based on new information. After participating in the lesson, educators will discuss pedagogical practices for supporting students in debating real-world issues. Educators will walk away with free lesson resources, tools to support students’ engagement in productive debates about AI, and access to the Tech’s online AI education resources.
AI Can Generate. You Bring the Proof: Helping Students Find What's Left When AI Can Do Everything
As AI masters coding and content creation, high school students are left wondering: If AI can generate the answer, what proves me? "Proof to AI" (P2AI) was born when founder Shuai Yuan observed that while exceptional Stanford Math Circle students could solve complex problems, they often struggled to identify meaningful ones. Partnering with alumni Cyrus, she designed a framework to shift students from solvers to finders. Instead of competing with AI, students use it as a creative collaborator to develop what AI cannot replace: curiosity, judgment, and initiative. In this session, Cyrus will demonstrate building AI exploration agents, and students will showcase real projects like "Path Founder AI." Following successful launches in Beijing and Shanghai, P2AI is expanding across the U.S. this fall. Walk away with a replicable toolkit to launch your own chapter and empower students to bring the proof.
When 10-Year-Olds Ship Real Products: AI Projects, and Human-Centered PBL in Practice

Rui Li
On New Year’s Eve 2025, Luo Zhenyu featured MarsNavi on China’s most-watched broadcast to over 45 million viewers. He showcased 34 video covers created by our 8–14-year-old students, proving that children learn AI best by delivering real work. At MarsNavi, a Beijing-based studio, students spend 6–15 sessions shipping user-tested AI products—from family-conflict mediators to elderly-companion agents. Since our 2024 MVP, we have guided 100+ children to deliver 20+ functional AI tools, analyzing over 10 million characters of classroom transcripts to build our L1–L5 progression and Seven-Step method. In this session, we will unpack four case studies, explore our identified "failure modes," and get honest about the limits of what we still don't know. We are here to share our work-in-progress with the educators and innovators most equipped to give us meaningful, constructive pushback.
What Survived the Classroom: Real AI Builds, Tools, & Practices for Educators
This session is built from classroom case studies, not sample prompts. Participants will see how LLMs were used for real educator work: daily word study for learners with IEPs, customized reading passages, scaffolded comprehension tools, student goal-setting chatbots, project guides, progress notes, and full curriculum builds.
The session also looks at bigger builds, including an Oregon Trail-style Gold Rush game created with LLMs and a place-based water connections project. For each case, participants will see the original need, the tool or artifact that was built, how students used it, what had to be changed, and what failed.
The goal is practical transfer. Participants will learn how to spot strong AI use cases, build for one learner or a whole unit, test materials with students, revise weak outputs, and avoid the places where LLMs create more work than they save. Each participant leaves with case study examples, prompt sets, review checklists, and the start of a classroom tool or workflow they can use in their own setting.
Designing an AI Literacy Course
Breakout SessionIn 2026, Benjamin Franklin High School pioneered a new AI Literacy course for our 9th graders. AI Literacy was interwoven with executive functioning skills in an introductory course, with a goal of teaching responsible and creative AI use. Come experience it firsthand: escape Zombie Island to uncover how LLMs actually process language, then take our AI "personality" quiz and learn to build your own custom version. We'll unpack the course's core framework and walk through standout lessons you can bring back to your own classroom. Other school initiatives such as the AI Podcast Club for teachers, the AI Innovation Contest, and the AI Environmental Grant program will also be shared briefly.
The Facilitative AI Classroom: How Three Minutes of AI Sparks Fifteen Minutes of Human Connection

Sudha Shankar
While 100% of children in our study could name a coping skill, only 30% actually used one when it mattered. Closing this gap isn't about better content; it is a design problem. Enter Troo, an award-winning AI platform for ages 4–11 grounded in the CASEL and Paul-Elder Critical Thinking frameworks. Troo champions "Facilitative AI"—technology designed to spark human connection rather than deliver passive instruction. Our pedagogical signature is the 3-to-15 Rule: three minutes of AI-driven story stimulus fuels 15 minutes of peer dialogue and real-world practice. The screen starts the work; the classroom finishes it. In this interactive workshop, you will experience a live Troo session built on a Predict-Reveal-Reflect loop, unpack our core design decisions, and explore how this learning bridges from school to home. You will walk away with a practical, transferable framework for evaluating intentional AI design in any classroom tool—not just a product demo.
Code & Calm: Your Human Superpowers in the AI Era
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. Participants will examine the emerging world of agentic AI while exploring five essential human capabilities: vision, adaptability, lifelong learning, and mindfulness—that can help individuals navigate change with confidence and purpose. This session offers a practical and optimistic framework for remaining human-centred in an increasingly AI-driven world.
Choose Your Own Adventure: Being Human in a Tech-Filled World
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. Drawing on her After Intelligence series, her experiences as an English teacher, and her recent workshops with teens, Nicole will highlight young adults’ concerns and hopes about AI and demonstrate how creative writing can elucidate teens’ nuanced reflections on the rapid scale of innovation. The session will incorporate research from Common Sense Media and The Rithm Project and will leave participants with lesson resources, thought-provoking questions, and the opportunity to examine their own feelings about how technology is reshaping our education system, our relationships, and our humanity.
Playful Characters for enhanced Creativity
An interactive experience for educators and learning designers to understand the power of fictional characters as facilitators of children's creative learning experiences. A small room will be transformed into an interactive art gallery with characters on display that interact with a mobile app that asks reflection questions based on the backstories of the characters. A small art table will feature DIY character-themed activities (such as animating handmade characters with AI, creating character paper puppets), and a small installation will feature a "character petting zoo" corner where attendees can play with 3d printed character toys. Facilitator will start with a brief presentation about the design and psychology of characters, followed by walking around the room and talking to folks about their character-themed experiences.
Which AI Is Teaching Your Students? A Hands-On Framework for Choosing K12 Tools With Rigor and Care
Schools rigorously vet data privacy, but often miss a critical blind spot: which foundational AI model is actually interacting with their students? Most EdTech tools rely on live foundational models (like OpenAI, Anthropic, or Google) that can update their behaviors and safety policies overnight, instantly bypassing a district's initial vetting. In this hands-on workshop, we turn an original study of 50 K12 AI tools into a practical procurement method. We will unpack the three layers of the K12 AI landscape—direct model access, teacher productivity, and student-facing tools—and evaluate them against a clear disclosure-tier scale. Bring a tool your school is currently evaluating to pressure-test it live! You will walk away with our Model-Layer Diligence Rubric and the single most important question missing from every school's RFP, ensuring you know exactly what intelligence is in your classroom.
Building with AI, Staying in the Driver's Seat: From Idea to MVP in the Classroom
This workshop presents a practical framework for AI-native learning from Hatch Hatch. We will share a practical lesson framework that helps young learners move through the full journey from a rough idea to an MVP: identifying a meaningful problem, understanding a specific user, sketching an initial design, prototyping and coding, and iterating based on feedback. Rather than presenting AI as a shortcut to build a standalone product, the session will focus on how to help students use AI intentionally while preserving human ownership, judgment, and creativity.
This workshop welcomes both students and educators. We will highlight what the process looks like from ideation to development, when to use AI and when not to, and how to evaluate the quality of AI use. Educators will gain practical insight into scaffolding AI creative projects, introducing AI at the right moments and keeping learning centered on student thinking, not AI-generated outputs.
The Heuta-Heuristic (TM) Investigator In You
Breakout SessionWhat if professional development invited teachers to investigate their own practice instead of delivering content at them? This workshop introduces the Heuta-Heuristic Framework™, a self-determined approach to educator growth that positions teachers as scholars, not recipients. Participants will explore the shift from pedagogy to heutagogy, then experience it directly through an interactive demo, walking away with a felt, not just theoretical, understanding of self-determined learning.
What Stays Human: Values Based Leadership in the Age of AI
Breakout SessionWhat makes a good manager in the age of AI? This interactive workshop starts from a belief that there won't be one answer for every manager. AI can now draft the feedback, summarize the one-on-one, and surface the data. Deciding when to use it, and when not to, becomes a values question, not a technical one. Participants will develop their own human-centered principles to guide that decision-making: a personal, portable set of beliefs about where AI belongs in how they lead, and where it doesn't.
We'll work through two questions: What will your principles be for yourself and how you lead? And what do you want your principles to be for those you manage? Because managers won't set just one expectation or guiding direction for their teams — there's a broad range — we'll make room for that. You'll leave with your principles drafted and a starting point for talking about AI with your team.
From Overwhelmed to AI-Ready: Building School-Wide AI Confidence Together
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.
Participants will move through a structured learning arc: grounding in the real state of AI in their school, hands-on exploration of practical tools (Gemini, NotebookLM, and others), an honest conversation about ethics and equity, and a collaborative 30-day action planning session. Every activity is designed for a mixed audience — because lasting AI integration doesn't happen in silos.
Attendees leave with three things: hands-on experience with AI tools they can use immediately, a shared ethical framework for responsible use, and a concrete school-level action plan built together in the room. No jargon. No hype. Just tools, trust, and a strategy that keeps the human at the center of every decision.
AI & the Humanities: Whose Story Gets Told?
Stories shape our understanding of the world, but as generative AI takes over, cultural nuances often get lost—magnifying certain voices while erasing others. This interactive session for both students and educators explores how to keep the humanities critical and human-centered. We will kick off by comparing a local article with its AI-generated counterpart to expose inherent biases. Then, leaning on the research-backed MLA-CCCC and UNESCO AI Competency Frameworks, we will turn theory into practice. Students will learn to transform their AI agents into rigorous research assistants that actively hunt for diverse perspectives, while educators will design actionable classroom activities that teach intentional judgment and narrative analysis. Join us to collaborate and discover how thoughtful technology can deepen, rather than diminish, our exploration of the humanities.
Co-design and Durable Skills
Breakout SessionIn an AI-driven world, the future of education relies on developing our human comparative advantage: authentic collaboration and agency. While we can use AI to research and prototype, it is real-world accountability that builds the critical skills our students need.
Join me to discover a proven pre-apprenticeship model from Design Tech High, where teams of 10th graders partner directly with youth-serving organizations. Over one semester, these students conduct user research, test real products, and prototype solutions. When teenagers are given real trust and responsibilities that extend beyond a gradebook, they build unstoppable agency.
Attendees will walk away with:
* The Blueprint: Adaptable templates and a realistic semester timeline to launch your own program.
* Partnership Strategies: Actionable advice on securing collaborative partners and managing remote youth-org teamwork.
* Assessment Frameworks: Proven methods to evaluate durable skills like leadership, critical thinking, creativity, and communication.
Session details coming soon
Natasha McKeown
Breakout SessionSession title and description are still being finalized.
Withholding the Answer: Designing Help That Doesn’t Do the Thinking
Every AI tool in a classroom meets the same moment: a child is stuck, and the fastest thing the software can do is the one thing that ends the learning. This workshop puts educators on the wrong end of that moment on purpose.
Participants work a real reasoning challenge in small teams, moving through six steps a child cannot skip: Understand, Define, Ideate, Prototype, Test, Reflect. A facilitator plays the role of the guide and is allowed to help in every way but one. Halfway through, teams switch sides and try to pull the answer out of the facilitator, using the moves students actually use. We then look together at what leaked, and why the usual fix of telling a model to be careful does not hold.
Participants leave with a one-page protocol for structuring help in their own classroom, a hint ladder they can apply to whatever tools they already use, and a sharper sense of which of those tools can hold the line and which cannot. No product demo, and nothing in the session requires buying anything.
Building Custom Tools with Replit

Laura Khanna
Bring your computer and a problem you've been having as a teacher or administrator. You'll walk away from this workshop with a new workflow for using Claude and Replit to build custom tools for students, teachers, and even districts! No coding experience needed; it would be helpful to sign up for the pro version of Replit ahead of time so that you don't run out of tokens mid-workshop. I'll also share some of the apps I've built that have solved problems for our school or simply made my life simpler as an administrator. Let's create together!
Vibe-coding 101: Basics, Tips and Tricks
Have a great idea for a classroom tool but absolutely no idea how to code it? You aren't alone. "Vibecoding" is just a very technical-sounding word for a very human process: building software simply by talking to an AI in plain English.
In this relaxed and approachable session, we will walk us through the basics of bringing our ideas to life without needing a computer science background. If you can describe what you want, you can build it. We’ll look at practical tips and tricks, focusing specifically on how we can use workflows to quickly create custom tools, both in and beyond the classroom, be it, assessments, interactive rubrics, or fresh teaching materials that actually fit our specific students' needs.
No coding experience required—just bring your ideas and a willingness to try something new!
CRISPRkit & AI: Bringing Hands-On Biotech to Every Classroom
Alexander Choi
Breakout SessionHigh equipment costs and complex content keep gene editing labs out of reach for many under-resourced schools. To break down these barriers, we created CRISPRkit—a safe, cell-free lab that costs just ~$2 per kit—and paired it with a custom AI Teaching Assistant mobile app.
An On-Demand Co-Teacher: The app handles real-time troubleshooting, conceptual explanations, and ethical discussions, giving teachers the confidence to guide advanced topics without needing a genetics degree.
Smart Experiment Readouts: Students simply photograph their lab results, and the app automatically analyzes color changes to verify their experiment.
Safe & Age-Appropriate: Built with strict guardrails and grounded in vetted science so learning stays safe and focused.
Discover how pairing ultra-low-cost lab hardware with tailored AI creates a scalable, equitable model for modern STEM education—reducing teacher workload while opening doors for students.
Advancing Innovative Media with Human Learning
This session delivers an inside look at my experience as a leading educator in the Creative AI media space. I will provide an overview of the core lessons I've learned from teaching generative AI to over 30,000 global learners through hands-on workshops, live events, and technical demos.
I will share how this large-scale educational framework directly led to my work with the Better Youth nonprofit, where we equip foster youth with essential tech and media skills to succeed in the workforce. Finally, I will provide an overview of the tactical approach my team and I have taken to humanize the learning process through collaborative team building exercises. Audience members can find us at our Expo table as well to experience one of these deeply human sessions where participants must work together to build, direct, and create AI media as a unified human team.
What AI Changes in PBL: New Possibilities, Learning Data, and Human Roles

Rui Li
Project-based learning has long promised deeper agency, collaboration, and real-world problem solving. Yet it remains difficult to sustain at scale because students may pursue topics beyond any one teacher's expertise, teachers must support many unpredictable project paths, and young learners often lack the technical means to turn ideas into working products.
AI changes all three conditions: it expands access to domain knowledge, lowers the cost of experimentation and production, and offers partial support to teachers working across projects they cannot fully pre-plan. MarsNavi's most dependable use of AI, however, is less visible: a learning-data layer built from classroom dialogue and project artifacts. We use AI to produce post-session reviews, next-session coaching support, and longitudinal learner records.
In this workshop, Rui Li will share evidence from MarsNavi's online PBL programme and demonstrate anonymized examples from this data pipeline. The workshop will close with a facilitated discussion of how responsibility should be distributed among students, teachers, and AI, including the judgments that should remain human. AI is presented not as a replacement for educators, but as a layer of knowledge, production, and reflection that may make serious PBL more feasible while keeping human judgment at the center.
Designing Inclusive Classrooms in an AI World
Tiffany Wong
Breakout SessionK–5 teachers are asked to meet an increasingly wide range of student needs while building relationships, fostering belonging, and creating learning experiences where every child can participate meaningfully. This workshop addresses a core human-centered challenge in education: how to design inclusive learning experiences that support access, voice, and personalization without adding more to an already full teacher workload.
Grounded in human-centered teaching, Universal Design for Learning principles, and inclusive instructional practices, this workshop will help K–5 educators explore how AI tools can support more accessible and responsive classroom design. Participants will examine common barriers to access and practice using AI to adapt lessons, create scaffolded materials, generate visuals or sentence frames, offer choice-based activities, and design small-group supports. Educators will leave with practical strategies for using AI to support differentiation, responsive planning, and student-centered learning while keeping teacher expertise and classroom relationships at the center.
Beyond “Use It or Ban It”: Responsible AI for Teaching and Learning
Erin Smith
Breakout SessionAI is already reshaping teaching and learning, but many educators feel caught between two extremes: ban it completely or use it for everything. This session offers a practical middle path through the SAFE AI Framework: keeping Student thinking central, ensuring Adult judgment stays in the loop, protecting productive Friction, and attending to Evidence, ethics, and equity. Participants will explore safe, responsible ways teachers can use AI for planning, differentiation, feedback support, communication, and classroom design while protecting student thinking, privacy, human connection, and productive struggle.
Drawing on emerging research about cognitive offloading, sycophancy, student agency, and human-centered learning, we will examine how AI can support learning without replacing the thinking, effort, discussion, and reflection students need in order to grow. Educators will learn to evaluate AI use through one guiding question: Is this tool helping students think more deeply, or is it making thinking, effort, and human interaction feel optional? Participants will leave with practical examples, prompt structures, classroom routines, and decision-making tools they can use to reduce workload, model responsible AI use, and design learning experiences where AI acts as a support system rather than a shortcut.
Curiosity Games: Project Mars, Human-in-the-Loop AI for Adaptive Algebra 1 Learning
Caila Iris DeAbreu
Poster SessionCuriosity 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-centred learning at the core while providing personalised learning pathways and teacher insights.
Set within a Mars simulation environment, students explore key Algebra 1 concepts through conceptual challenges, procedural practice, assessment, and hands-on activities aligned with the M.A.T.H. Learning Cycle™. This pilot study with Khan World School students investigates how AI-assisted support systems can deepen STEM learning, strengthen mastery, and reduce intervention time outside live instruction.
BAT: Build A Teacher
Vedh Krishnan
Poster SessionImagine 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. BAT serves to extend and augment a teacher's presence, and not to replace it. Students can ask questions anytime, revisit tough topics in their teacher’s own words, and study with help that actually feels familiar.
Beyond AI Tutors: Designing AI for Whole Child Flourishing
Shreya Goyal
Poster SessionMost AI in education is designed to reach children directly and is only focused on literacy and numeracy. I want to challenge that default.
Children's well-being is shaped by the adults around them, not just what they learn, but how safe, seen, and supported they feel.
At Rocket Learning, we scaled an AI-powered early education program to 4 million children. The leverage point wasn't the child, it was the adults (parents, community caregivers, teachers) around them. By designing behavioral nudges and AI-assisted content for caregivers, we changed what happened in the child's actual environment.
My work and research from Harvard's Human Flourishing Program deepens this insight: well-being is relational and emotional, not just cognitive. Half of all mental health conditions emerge before age 14. Yet most AI tools and benchmarks are blind to socio-emotional impact.
Drawing on VanderWeele's flourishing framework, child development research, and on-the-ground deployment experience, this poster offers a practical lens for educators evaluating whether an AI tool is actually serving the whole child: 1. Evidence-based guidelines for using AI with children vs. around children: what's developmentally appropriate, what to watch for, and how to decide which tools to introduce in a child’s environment and when 2. A starter framework for building your own AI stack, so you're getting meaningful support without negatively impacting your child's development
ARIA: Rethinking AI for Neurodivergent Learners
Naren Saravanan
Poster SessionFor over a century, traditional education has failed students with ADHD and learning disabilities by expecting everyone to learn at the same pace. While most AI tutors try to fix this by simply answering questions faster, ARIA does something entirely different: it teaches students how to think.
Built by a founder with ADHD, ARIA goes beyond assessing right or wrong answers by actively listening to a student’s reasoning process. By detecting seven real-time cognitive states—such as rushing, frustration, or sudden insight—ARIA dynamically tailors its response. It might ask a rushing student to articulate their plan or give a stuck student a tiny nudge, but it never simply gives away the answer.
Over time, ARIA builds a local, fully private learning graph to track focus hours, preferred explanations, and struggle patterns. ARIA goes beyond single-session success to foster long-term self-regulation and cognitive independence.
Project-Based Learning Management System (PBLMS)

Vy Le
Projects can teach important, AI-resilient skills like creative problem solving and collaboration. However, current LMSs like Schoology and Canvas are not made for managing projects. They assume that all students are doing the same thing at the same time, and thus, are too rigid in structure. I personally experience this problem working with students on projects for Science Olympiad (SciOly) and ExploraVision. PBLMS is an LMS designed for managing student projects, with an AI agent that helps teachers generate personalized curriculums. It features a new UI, one similar to project management software like Jira or Monday. Since every project has a different curriculum, AI is critical to scale the teacher’s support.
Young Builders: What K–12 Students Learn by Designing and Shipping Their Own Apps
Marisa Gomez Garcia
Poster SessionIn App Creator Lab, K–12 students don’t just learn about technology — they design, build, and ship real, working apps. This poster session puts that work front and center, presented by the young builders themselves. One or two App Creator Lab students will walk attendees through an app they personally designed and shipped: the problem they wanted to solve, how they planned and built it using AI tools as a thinking partner, where they got stuck, and what they learned along the way. Attendees will see the actual product and hear, in a student’s own words, what it takes to go from a blank screen to something real that other people can use. The goal is simple: let educators and school leaders hear directly from young builders about how project-based, ship-something-real learning changes what kids believe they’re capable of. No slides full of theory — just students, their work, and honest reflection on the process. Visitors leave with a concrete sense of what’s possible when children are trusted to build.
Sal Khan is founder and CEO of the education nonprofit Khan Academy and the vision steward of TED, helping to guide the organization’s long-term vision. He has also founded: Khan Lab School, an experimental mastery-based model; Khan World School, a global learning platform for middle and high school students; and Schoolhouse.world, a free, peer-to-peer tutoring platform that connects people to mastery learning and community.
Isabelle C. Hau is a visionary leader who is dedicated to transforming the way we nurture and educate our children. As executive director of the Stanford Accelerator for Learning, she leverages brain science and technology to champion innovative, effective, and inclusive learning solutions. As a successful impact investor, Isabelle previously led the US education practice at Omidyar Network and Imaginable Futures, where she invested in mission-driven organizations. She is the author of “Love to Learn: The Transformative Power of Care and Connection in Early Education”. She also writes a popular weekly newsletter Small Talks. At Stanford University, Isabelle teaches the class “Design to Equip Learners in Under-Resourced Communities." She serves on the board of EDC and Sonen, on the steering committee of the EdSAFE AI Alliance, the Brookings Institution Global AI Taskforce, and is a member of the World Economic Forum's 4.0 Education. Named as one of the 100 most inspiring women by Harvard Business School, Isabelle has also received distinctions in early childhood education and human-centered artificial intelligence. A mother of two, she co-starred with Grover of Sesame Street. Her lifelong professional goal is to bring the love of learning to each and every child.
Alex oversees strategy, partnerships, fundraising, and external relations for the AI Education Project. Prior to founding the AI Education Project, Alex built the AI Ethics and Corporate Social Responsibility function for H5, Inc., a pioneering AI company in the legal services sector. At H5, Alex led strategic partnerships with organizations including the United Nations, NYU School of Law, the OECD, and IEEE to develop judicial education programs and high profile convenings. Prior to his time in the social impact and non-profit space, Alex managed brand and policy communications for companies including Oracle, Airbnb, Nissan, HP, Adobe, and SAP. He was a lead Field Organizer in Columbus, OH for the 2012 Obama Campaign and served as a Presidential Appointee under HHS Secretary Sylvia Burwell, where he managed communications and community outreach for ACA Open Enrollment, two SCOTUS rulings, and the 2015 Ebola outbreak.
Dr. Yi Zhang is a founder, ISTE+ASCD presenter, TEDx speaker, and learning architect whose initiatives and programs have reached more than 120,000 learners worldwide through periods of organizational and technological change. Her experience spans from Fortune 100 companies including her tenure at Microsoft navigating AI disruption to supporting students in Alaskan classrooms. Dr. Zhang's work bridges learning science, human development, and well-being guidance. She holds a Doctor of Education Degree in Leadership and Learning from Vanderbilt University. Combining her lived experience as a parent with deep expertise in workforce transformation, Dr. Zhang offers strategies that are both practical and effective.
Kip Glazer is the author of Ready to Lead with AI: A Practical Guide for School Leaders and the proud Principal of Mountain View High School. Since earning her doctorate in Learning Technologies from Pepperdine University in 2015, she has worked with several learning science researchers to bring high-quality research to the classroom and has consulted on several projects funded by the National Science Foundation. Considered an expert in AI and K-12 school leadership, she was named one of the DA Magazine's Top 100 Education Influencers in 2025. She is a CSTA Equity Fellow and a member of Common Sense Media and the EngageAI Practitioner Advisory Board. She has also presented and keynoted at numerous conferences, including ASU+GSV Summit, CITE, ISTE, CoSN, CUE, and many more. She believes in student agency and the importance of school leadership in creating an innovative educational experience for students. Of all her accomplishments, she is most proud of her two adult sons, who graduated from West Point and are serving in the Army.
Douglas Kiang is an AI educator and computer science teacher at Menlo School in Silicon Valley. With more than 30 years of experience across independent schools, he still teaches every day, and he advocates for ethical, human-centered AI education.
He served on the development committee for AP Computer Science Principles and was an author of Apple's Develop in Swift curriculum for teachers. An Apple Distinguished Educator, he earned a master's in Technology, Innovation, and Education from Harvard, where he also taught CS50. In 2017 Hawaii nominated him for the Presidential Award for Excellence in Mathematics and Science Teaching, and he holds the NCWIT Educator Award for encouraging young women in computing.
Douglas keynotes and leads faculty workshops around the world, from Beijing to Latvia, and in 2026 he headlines the Future of Learning conference in Jakarta. He helps educators put AI to work without losing the human relationships at the center of teaching.
A career educator, Tara currently serves as Chief Innovation Strategist, Education at Lenovo, focusing on creating transformational learning experiences through innovative programs, professional learning, redefining teacher roles and responsibilities, and emerging technologies. Tara spent over 20 years teaching and leading in school districts, most recently as Assistant Superintendent for Teaching and Learning for Arlington Public Schools (VA) and then transitioned to consultative roles as a Chief Innovation Strategist at Dell Technologies and Managing Director of Innovation Strategy at ISTE+ASCD. At ISTE+ASCD, Tara led teams focused on AI strategy, higher education, and professional learning.
Tara has actively supported educators in realizing safe and responsible use of AI including leading AI Task Forces for state departments of education and districts while also serving on the steering and advisory committees for Teach AI and the EdSafeAI Alliance. She was recognized as one of the leading Women in AI in EDU by ASU+GSV.
Tara earned a doctorate in Education Leadership and Policy from Vanderbilt University.
Francisco González is a digital education leader with more than six years of experience driving the development of digital skills across public education systems in Latin America, with a recent focus on AI integration. He has led teacher training programs in partnership with Google, UNESCO, OEI, and the LEGO Foundation, reaching more than 14,000 educators and 500,000 students across Mexico, Colombia, Argentina, and Chile.
As Project Director at Movilizatorio, he leads the design of an AI-powered learning tool co-developed with Ministries of Education and advises governments on the responsible integration of technology in classrooms.
A PgMP®-certified professional and winner of the 2026 ChildTech Challenge for Generative AI in STEM Learning, Francisco holds a Master's degree from the University of Warwick and instructional design credentials from the University of Michigan and the University of Illinois Urbana-Champaign.
Neil studied Economics at the London School of Economics (LSE), initially specialising in financial mathematics. He had an early career in Investment Banking in London and then proceeded to own and operate a technological manufacturing firm in London. During this time, he completed and MSc in International Relations, where he again specialised in financial mathematics in addition to international politics.
Neil's career change into teaching followed the successful sale of his business on the eve of the COVID pandemic. He currently teaches maths at Imperial Maths School in London, a specialised mathematics college affiliated with Imperial College London, the university, but for 16-18 year old keen youngsters.
Neil's leverages his considerable commercial experience in the classroom, where he is always the first to use new technology and tools to aid his students. His experience in manufacturing technology, robotics, financial software and investment elevate the examples he can offer, bringing maths to life in the class.
Beyond the classroom, Neil's interests range from sports like tennis and golf, to playing the guitar.
Mike Mendelson brings deep experience at the intersection of teaching, learning design, and applied AI in education. He began his career as a high school math and technology educator and later served in a district-level role supporting the implementation of personalized, competency-based learning systems.
At NVIDIA, Mike served as an Education Product Manager, where he led the design of Deep Learning Fundamentals, a flagship learning program reaching more than 250,000 learners globally. He collaborated with educators and domain experts to translate complex AI concepts into accessible learning experiences, delivered through platforms such as Coursera and edX. He has presented on learning design and AI education at conferences including the O’Reilly AI Conference, Autodesk University, and GTC San Jose.
Mike is the co-founder and Chief Technology Officer of sideby, where he leads the technical vision for an AI-supported educator network focused on collective learning and reflective practice. His work centers on using AI to reduce friction, support sensemaking, and strengthen—not replace—professional judgment in education systems.
Callie Turk, Ed.D., is a Palo Alto mom of three teens, one of whom is 2e/autistic. In her work with REEL, Callie draws on her 15-plus year career working with ed tech companies (including Harcourt and Truenorthlogic acquired by PowerSchool) and school districts at the cutting edge of educator professional learning. Callie received her MBA from Stanford University with a concentration in public and nonprofit management as well as a BS from Miami University (Ohio) in marketing. She completed her doctorate degree at Elmbridge University (formerly the Bridges Graduate School of Cognitive Diversity in Education). She has written for 2eNews, appeared on the Children’s Health Council’s Voices of Compassion podcast, and presented at many regional and national venues including the 2e @ William & Mary Conference, CUNY’s Neurodiversity Conference, NAGC (National Association for Gifted Children), SENG (Supporting Emotional Needs of the Gifted), CEC (Council for Exceptional Children), G/T/N (Gifted/Talented/Neurodiverse) Week, and the California Inclusion Collaborative, among others.
Having taught in international schools at the K-5 level for 15 years across five countries in Asia and Europe, Janna now serves as the Digital Literacy and AI Lead and a Grade 5 teacher at Vilnius International School in Lithuania. She is a Google Certified Innovator, a recent Google Innovator Academy Coach, and a Common Sense Media Educator whose use cases are featured in their advanced AI for K-12 course. Janna is currently piloting the Scaffolded Gatekeeping Framework™, a K-8 roadmap for the successful deployment of generative AI in schools.
Addy Salau is an education technology leader with over a decade of experience driving innovation at the intersection of AI, K–12 education, and educational equity. She serves as Director of Program Impact & Continuous Improvement at the Center for Supportive Schools and as a Senior AI Education Consultant, where she helps schools strategically integrate AI to strengthen instruction, deepen student engagement, and prepare young people for an AI-driven future. A lifelong New Yorker and award-winning community organizer, Addy is passionate about expanding equitable access to emerging technologies that create pathways to economic mobility and opportunity. Her work equips educators and students with practical AI skills while centering equity, critical thinking, and real-world application. Addy holds a bachelor's degree from Harvard University and a Master of Arts in Teaching from Relay Graduate School of Education.
Meaghan Crowley-Sullivan is an instructional leader dedicated to helping schools translate research into meaningful classroom practice. As the Curriculum and Professional Learning Developer at Loyola Marymount University's iDEAL Institute, she designs professional learning experiences and instructional resources that support innovative, human-centered teaching and learning. She also directs the Technology Integration Specialist Certification Program, preparing teacher leaders to thoughtfully integrate technology into their schools and classrooms. Her commitment to human-centered innovation led her to create the Catholic Companion Framework for Technology and Innovation, a framework being adopted by dioceses and religious schools across the country to help educators thoughtfully integrate artificial intelligence through the lens of human dignity, ethical discernment, and sound pedagogy. She believes the future of AI in education will be determined not by the tools we adopt, but by the habits of thinking, discernment, and agency we cultivate in students.
Lauren Cage is a STEM educator with 14 years of experience designing and facilitating design challenge learning experiences for The Tech Interactive in San Jose, CA. She is experienced in instructional design, prototyping, and R&D collaboration, with expertise in inclusive pedagogy and equity-focused program development. She is a recognized national presenter on empathy in engineering, climate education, and AI literacy.
Presenter Bio — Shuai Yuan:** Shuai Yuan is the founder of Proof to AI (P2AI), a nonprofit that helps high school students build identity and critical thinking alongside AI fluency. For three years, she worked at Stanford Pre-Collegiate Studies and Stanford Online High School, supporting Stanford Math Circle, Stanford University Mathematics Camp (SUMaC), and serving as Lead Program Assistant for the Stanford USAMO testing site — after five years of teaching at Monta Vista, Fremont, and Saint Francis High Schools in Silicon Valley. She is the author of a four-book AI education series published in China this year, covering logic, science, art, and literature for young readers, and writes widely for Chinese-language education audiences. She holds master's degrees in both Education and Law.
**Student Co-Presenter—-Cyrus Chen** Cyrus is a SUMaC (Stanford University Mathematics Camp) '25 alumnus and current Applied Mathematics student at the University of Southern California ('30). He describes himself as a counterexample to the traditional math major — building at the intersection of human behavior, design, and logic, with experience spanning practical psychology, product design, and visual art. As an Agentic AI practitioner and Fellow with Proof to AI (P2AI), Cyrus builds AI agents for tasks such as visualizing mathematical formulas and creating personalized study assistants, treating AI as a collaborative partner rather than an answer machine. He co-presents this session to share a student's firsthand perspective on building identity and creative range alongside AI fluency.
Amanda Grutza is an educator, technologist, and advisor who helps people turn emerging technology into practical tools, systems, and learning experiences. She is the founder of Talk to Robots (talktorobots.org), a nonprofit that creates accessible, open-source, technology and AI education for teachers, students, and communities.
Through Third Space, Amanda consults with major business. technology companies, and growing organizations on tech stacks, AI implementation, workflow design, data systems, product strategy, and technical communication. Her work focuses on making complex technology useful, understandable, and grounded in real human needs.
Amanda also brings years of classroom teaching, curriculum design, project-based learning, and maker education to her work. She has built and tested AI-supported reading tools, student goal-setting systems, differentiated learning resources, interactive games, curriculum units, and educator workflows with real students. Her goal in life is to ensure that everybody has the ability (and confidence!) to access the progressive and cutting edge technology available to build and thrive.
Rebecca Gaillot has been a teacher for over 20 years, currently at Benjamin Franklin High School in New Orleans, LA. She has served as a leader in AI development and teaches AI Literacy courses as well as Engineering courses offered through dual enrollment with Louisiana State University. A dedicated advocate for AI policy in education, Rebecca has served on Louisiana's Board of Elementary and Secondary Education's AI Task Force, New Orleans Public Schools' AI Task Force, and the Louisiana Department of Education's Teacher Advisory for AI. She was also selected to represent Louisiana at MIT's Day of AI Summit, and has presented at national conferences including NCSS and NCTM. Rebecca is passionate about social justice in technology and is driven to help every student realize the paths they can take.
Manpreet Singh is a Technical Lead at Google. For two decades, Manpreet has built the invisible digital highways connecting our globe—all while leading mindfulness practices for thousands of colleagues.
Nicole Marie Erb (who is fairly certain that she is not an android) is a former English teacher who loves literature and believes that human creativity is more valuable than ever. She is the author of three novels in the YA sci-fi series, After Intelligence, and she leads writing workshops for teens focused on being human in a tech-filled world. Learn more about her work at tandemental.com.
Dr. Sonia Tiwari is the Director of Research at Oki Pie Lab where she explores the role of characters as facilitators of children’s learning experiences. She also hosts weekly creative workshops for families of children ages 5-10 in the Bay Area that public libraries, museums, and makerspaces, using characters as inspiration for expressive arts activities that strengthen self-expression and intergenerational connection.
Angela Chen is an educator, advisor, and builder working at the frontier of AI and education. She teaches entrepreneurship at Stanford, where she previously grew the Stanford Accelerator for Learning and built its Education Entrepreneurship Hub from a single sentence into a program supporting 200+ scholars and 70+ ventures. Through her AI education studio, We Launch Me, she advises schools on responsible AI adoption, coaches early-stage founders, and leads live "Build with AI" sessions for non-technical professionals. A former strategy consultant, edtech founder, and co-author of international research on AI's impact on the future of learning and work, she serves on the AI Advisory Committee of University of Toronto Schools, is certified in Anthropic's AI Fluency Framework, and is a Catalyst Fellow with the EDSAFE AI Alliance. She writes about the future of learning at newcurrent.substack.com.
Zhuozhuo "Joy” Liu is the co-founder of Hatch Hatch, an AI-native education company helping the next generation think, create, and build with AI. Her work focuses on using AI to amplify, not replace, students’ curiosity and creativity, while helping them develop the judgment and confidence to turn ideas into meaningful real-world projects.
She brings an interdisciplinary background across education, UX, software engineering and AI. She holds degrees in Psychology (Tsinghua), Education (UPenn), and Computer Science (UBC). She began her work as an intern at Khan Academy and Khan Lab School in 2016, and has since worked across UX research (Google), software engineering (Meta), and NLP research (UBC and Vector Institute).
On social media, she creates visual explanations that make AI and algorithms visible through animations, cartoons, and stories
Dr. Trudi L. Perkins spent seventeen years in LAUSD classrooms before deciding that educator development deserved the same rigor, respect, and reinvention she brought to her students. She holds an Ed.D. from USC and is the founder of Momentum Consulting Firm, LLC, where she lives by a simple company motto: Doing the usual thing of education in unusual ways. She is the creator of the Sage-Seeker's Journey™, a proprietary approach built on a stubborn belief that teachers are scholars first, and that real growth happens when educators are trusted to investigate their own practice instead of being handed someone else's answers. Dr. Perkins writes and speaks with the same voice in every room, whether that room calls for poetry, provocation, or plain truth. She is a scholar-practitioner, a contrarian thinker, and an unapologetic believer that education can be both deeply serious and genuinely alive.
Katie Christon is a Managing Director on the Talent Development team at IDEA Public Schools. Her team's work spans manager effectiveness, resource and video production, and supporting the organizational learning infrastructure across the network. As a former principal and classroom teacher, she is passionate about connecting educators with the tools they need to do their best work. With the onset of AI, she's been thinking a lot about what needs to stay human when so much of our thinking and writing can be outsourced.
Ashmeet Sahni, M.Ed., is an instructional designer and AI integration strategist working at the intersection of curriculum, professional learning, and emerging technology. As Coordinator of Curriculum and Instruction at Dublin Unified School District, she brings both the systems perspective and the classroom reality to every room she works in.
Her workshops on AI integration are built around a simple belief: teachers don't need more information — they need time, trust, and a space to figure this out together. Through her consultancy, Sahni Learning Designs, she works with schools and districts to build practical, human-centered approaches to AI integration — helping educators move from uncertainty to confident, purposeful use of emerging tools in the classroom.
Ashmeet is passionate about designing learning experiences that are practical, equity-minded, and, above all, human — because meaningful AI integration begins not with the tools, but with the teachers, and the best PD builds trust before it builds fluency.
Michael is a current UC Berkeley student studying Computer Science, Data Science, and History. In the past, he has served as an archivist for the Library of Congress and organized an oral history project with his local community. He has two years of experience as a teaching assistant and a teacher. In his free time, he enjoys F1, restaurant-hopping, and comedy.
Max Cady is beginning his 14th year as a project-based classroom educator. Previously, he taught at Liger Cambodia, Liger New Zealand, and High Tech High. Max is currently at Design Tech High School (d.tech) in Redwood City, where he runs a design thinking pre-apprenticeship program that connects 10th grade student teams to co-design with youth-serving organizations to solve actual design problems. Originally from New York City, Max holds a master’s in Technology, Innovation, and Education from Harvard. He lives in San Francisco with his wife and one-year-old son, and enjoys mountain biking and playing ultimate frisbee on the weekends.
Otavio Good is currently starting a company working on humanoid robots. He created Word Lens, the world's first augmented reality translation app, which was acquired by Google, and went on to work on computer vision and large language models at Google Translate. He also co-founded the console gaming company Secret Level, acquired by Sega, and led "All Your Shreds Are Belong to U.S.", the team that won the 2011 DARPA Shredder Challenge. Otavio *loves* working on side projects related to computers, math, science, and technology
Presenter Bio
The Builder OS: AI-Native Human-Centered Learning for the Next Economy
Aaryan Mehta and Brian Wang
Poster SessionBlueRobins, a UC Berkeley SkyDeck Pad-13 company, is an AI-native platform that pairs students with university mentors — undergrads, grad students, and professors — to ship projects across 25 frontier fields, backed by interactive modules and verified portfolios. Our poster describes the full BlueRobins ecosystem and pedagogy: how we use a combination of AI-based tooling and expert-mentor interaction to ensure our students are well-equipped to thrive in a rapidly changing future economy.
Beyond the Answer: How AI Is Changing the Way Students Learn
Arhaan Dua
Poster SessionThis poster examines how AI enables students to explore advanced, cross-disciplinary subjects beyond the classroom—using a middle school project on artificial DNA synthesis and data storage as a case study. Presenting a student’s perspective, it addresses the balance between expanded curiosity and the heightened need for critical thinking, source accuracy, and ethics. Ultimately, it illustrates how AI should be used in education to build better thinkers, not just faster answers.
Assisted Scores Flatter: Measuring What a Child Can Do Unaided
This poster introduces an evaluation instrument for IgniteThinking—a self-directed design thinking course for ages 9–11—designed to measure unassisted student ability versus AI-assisted performance. By isolating answer verification in server-side modules and using deterministic, rule-based help escalation, the system turns AI assistance into a logged, measurable variable. The poster outlines the pair construction of isomorphic challenges across design and mathematics, process measures, and a three-arm comparison framework to evaluate reasoning transfer between guided and unaided problem-solving.
Session title coming soon
Sahishnu Durgam
Poster SessionThis study evaluates knowledge tracing (KT) in multi-step prediction scenarios without immediate per-question feedback using pyKT’s non-accumulative multi-step (NAMS) protocol. It introduces FeatKT, a feature-driven gradient boosting model leveraging five leakage-checked features: concept identifier, question difficulty, response time, lag time, and frozen prefix accuracy. Evaluated on 5,000 EdNet-KT1 users, FeatKT achieved an average AUC of 0.747, outperforming four established KT models and a feature-matched transformer—demonstrating that effective feature design can outweigh architectural complexity in long-horizon predictions.
Navigator: An AI Assistant for School Information
Anandita Mukherjee
Poster SessionThis session introduces Navigator, a student-built AI assistant that uses retrieval-augmented generation (RAG) to turn scattered school handbooks, calendars, and communications into concise, cited answers. Featuring a live product walkthrough and insights from its upcoming deployment at Khan Lab School Upper School, the presentation explores technical design choices alongside broader considerations around accuracy, privacy, trust, and responsible AI adoption in education.
Sal Khan is founder and CEO of the education nonprofit Khan Academy and the vision steward of TED, helping to guide the organization’s long-term vision. He has also founded: Khan Lab School, an experimental mastery-based model; Khan World School, a global learning platform for middle and high school students; and Schoolhouse.world, a free, peer-to-peer tutoring platform that connects people to mastery learning and community.
Isabelle C. Hau is a visionary leader who is dedicated to transforming the way we nurture and educate our children. As executive director of the Stanford Accelerator for Learning, she leverages brain science and technology to champion innovative, effective, and inclusive learning solutions. As a successful impact investor, Isabelle previously led the US education practice at Omidyar Network and Imaginable Futures, where she invested in mission-driven organizations. She is the author of “Love to Learn: The Transformative Power of Care and Connection in Early Education”. She also writes a popular weekly newsletter Small Talks. At Stanford University, Isabelle teaches the class “Design to Equip Learners in Under-Resourced Communities." She serves on the board of EDC and Sonen, on the steering committee of the EdSAFE AI Alliance, the Brookings Institution Global AI Taskforce, and is a member of the World Economic Forum's 4.0 Education. Named as one of the 100 most inspiring women by Harvard Business School, Isabelle has also received distinctions in early childhood education and human-centered artificial intelligence. A mother of two, she co-starred with Grover of Sesame Street. Her lifelong professional goal is to bring the love of learning to each and every child.
Alex oversees strategy, partnerships, fundraising, and external relations for the AI Education Project. Prior to founding the AI Education Project, Alex built the AI Ethics and Corporate Social Responsibility function for H5, Inc., a pioneering AI company in the legal services sector. At H5, Alex led strategic partnerships with organizations including the United Nations, NYU School of Law, the OECD, and IEEE to develop judicial education programs and high profile convenings. Prior to his time in the social impact and non-profit space, Alex managed brand and policy communications for companies including Oracle, Airbnb, Nissan, HP, Adobe, and SAP. He was a lead Field Organizer in Columbus, OH for the 2012 Obama Campaign and served as a Presidential Appointee under HHS Secretary Sylvia Burwell, where he managed communications and community outreach for ACA Open Enrollment, two SCOTUS rulings, and the 2015 Ebola outbreak.
Dr. Yi Zhang is a founder, ISTE+ASCD presenter, TEDx speaker, and learning architect whose initiatives and programs have reached more than 120,000 learners worldwide through periods of organizational and technological change. Her experience spans from Fortune 100 companies including her tenure at Microsoft navigating AI disruption to supporting students in Alaskan classrooms. Dr. Zhang's work bridges learning science, human development, and well-being guidance. She holds a Doctor of Education Degree in Leadership and Learning from Vanderbilt University. Combining her lived experience as a parent with deep expertise in workforce transformation, Dr. Zhang offers strategies that are both practical and effective.
Kip Glazer is the author of Ready to Lead with AI: A Practical Guide for School Leaders and the proud Principal of Mountain View High School. Since earning her doctorate in Learning Technologies from Pepperdine University in 2015, she has worked with several learning science researchers to bring high-quality research to the classroom and has consulted on several projects funded by the National Science Foundation. Considered an expert in AI and K-12 school leadership, she was named one of the DA Magazine's Top 100 Education Influencers in 2025. She is a CSTA Equity Fellow and a member of Common Sense Media and the EngageAI Practitioner Advisory Board. She has also presented and keynoted at numerous conferences, including ASU+GSV Summit, CITE, ISTE, CoSN, CUE, and many more. She believes in student agency and the importance of school leadership in creating an innovative educational experience for students. Of all her accomplishments, she is most proud of her two adult sons, who graduated from West Point and are serving in the Army.
Douglas Kiang is an AI educator and computer science teacher at Menlo School in Silicon Valley. With more than 30 years of experience across independent schools, he still teaches every day, and he advocates for ethical, human-centered AI education.
He served on the development committee for AP Computer Science Principles and was an author of Apple's Develop in Swift curriculum for teachers. An Apple Distinguished Educator, he earned a master's in Technology, Innovation, and Education from Harvard, where he also taught CS50. In 2017 Hawaii nominated him for the Presidential Award for Excellence in Mathematics and Science Teaching, and he holds the NCWIT Educator Award for encouraging young women in computing.
Douglas keynotes and leads faculty workshops around the world, from Beijing to Latvia, and in 2026 he headlines the Future of Learning conference in Jakarta. He helps educators put AI to work without losing the human relationships at the center of teaching.
A career educator, Tara currently serves as Chief Innovation Strategist, Education at Lenovo, focusing on creating transformational learning experiences through innovative programs, professional learning, redefining teacher roles and responsibilities, and emerging technologies. Tara spent over 20 years teaching and leading in school districts, most recently as Assistant Superintendent for Teaching and Learning for Arlington Public Schools (VA) and then transitioned to consultative roles as a Chief Innovation Strategist at Dell Technologies and Managing Director of Innovation Strategy at ISTE+ASCD. At ISTE+ASCD, Tara led teams focused on AI strategy, higher education, and professional learning.
Tara has actively supported educators in realizing safe and responsible use of AI including leading AI Task Forces for state departments of education and districts while also serving on the steering and advisory committees for Teach AI and the EdSafeAI Alliance. She was recognized as one of the leading Women in AI in EDU by ASU+GSV.
Tara earned a doctorate in Education Leadership and Policy from Vanderbilt University.
Francisco González is a digital education leader with more than six years of experience driving the development of digital skills across public education systems in Latin America, with a recent focus on AI integration. He has led teacher training programs in partnership with Google, UNESCO, OEI, and the LEGO Foundation, reaching more than 14,000 educators and 500,000 students across Mexico, Colombia, Argentina, and Chile.
As Project Director at Movilizatorio, he leads the design of an AI-powered learning tool co-developed with Ministries of Education and advises governments on the responsible integration of technology in classrooms.
A PgMP®-certified professional and winner of the 2026 ChildTech Challenge for Generative AI in STEM Learning, Francisco holds a Master's degree from the University of Warwick and instructional design credentials from the University of Michigan and the University of Illinois Urbana-Champaign.
Neil studied Economics at the London School of Economics (LSE), initially specialising in financial mathematics. He had an early career in Investment Banking in London and then proceeded to own and operate a technological manufacturing firm in London. During this time, he completed and MSc in International Relations, where he again specialised in financial mathematics in addition to international politics.
Neil's career change into teaching followed the successful sale of his business on the eve of the COVID pandemic. He currently teaches maths at Imperial Maths School in London, a specialised mathematics college affiliated with Imperial College London, the university, but for 16-18 year old keen youngsters.
Neil's leverages his considerable commercial experience in the classroom, where he is always the first to use new technology and tools to aid his students. His experience in manufacturing technology, robotics, financial software and investment elevate the examples he can offer, bringing maths to life in the class.
Beyond the classroom, Neil's interests range from sports like tennis and golf, to playing the guitar.
Mike Mendelson brings deep experience at the intersection of teaching, learning design, and applied AI in education. He began his career as a high school math and technology educator and later served in a district-level role supporting the implementation of personalized, competency-based learning systems.
At NVIDIA, Mike served as an Education Product Manager, where he led the design of Deep Learning Fundamentals, a flagship learning program reaching more than 250,000 learners globally. He collaborated with educators and domain experts to translate complex AI concepts into accessible learning experiences, delivered through platforms such as Coursera and edX. He has presented on learning design and AI education at conferences including the O’Reilly AI Conference, Autodesk University, and GTC San Jose.
Mike is the co-founder and Chief Technology Officer of sideby, where he leads the technical vision for an AI-supported educator network focused on collective learning and reflective practice. His work centers on using AI to reduce friction, support sensemaking, and strengthen—not replace—professional judgment in education systems.
Callie Turk, Ed.D., is a Palo Alto mom of three teens, one of whom is 2e/autistic. In her work with REEL, Callie draws on her 15-plus year career working with ed tech companies (including Harcourt and Truenorthlogic acquired by PowerSchool) and school districts at the cutting edge of educator professional learning. Callie received her MBA from Stanford University with a concentration in public and nonprofit management as well as a BS from Miami University (Ohio) in marketing. She completed her doctorate degree at Elmbridge University (formerly the Bridges Graduate School of Cognitive Diversity in Education). She has written for 2eNews, appeared on the Children’s Health Council’s Voices of Compassion podcast, and presented at many regional and national venues including the 2e @ William & Mary Conference, CUNY’s Neurodiversity Conference, NAGC (National Association for Gifted Children), SENG (Supporting Emotional Needs of the Gifted), CEC (Council for Exceptional Children), G/T/N (Gifted/Talented/Neurodiverse) Week, and the California Inclusion Collaborative, among others.
Having taught in international schools at the K-5 level for 15 years across five countries in Asia and Europe, Janna now serves as the Digital Literacy and AI Lead and a Grade 5 teacher at Vilnius International School in Lithuania. She is a Google Certified Innovator, a recent Google Innovator Academy Coach, and a Common Sense Media Educator whose use cases are featured in their advanced AI for K-12 course. Janna is currently piloting the Scaffolded Gatekeeping Framework™, a K-8 roadmap for the successful deployment of generative AI in schools.
Addy Salau is an education technology leader with over a decade of experience driving innovation at the intersection of AI, K–12 education, and educational equity. She serves as Director of Program Impact & Continuous Improvement at the Center for Supportive Schools and as a Senior AI Education Consultant, where she helps schools strategically integrate AI to strengthen instruction, deepen student engagement, and prepare young people for an AI-driven future. A lifelong New Yorker and award-winning community organizer, Addy is passionate about expanding equitable access to emerging technologies that create pathways to economic mobility and opportunity. Her work equips educators and students with practical AI skills while centering equity, critical thinking, and real-world application. Addy holds a bachelor's degree from Harvard University and a Master of Arts in Teaching from Relay Graduate School of Education.
Meaghan Crowley-Sullivan is an instructional leader dedicated to helping schools translate research into meaningful classroom practice. As the Curriculum and Professional Learning Developer at Loyola Marymount University's iDEAL Institute, she designs professional learning experiences and instructional resources that support innovative, human-centered teaching and learning. She also directs the Technology Integration Specialist Certification Program, preparing teacher leaders to thoughtfully integrate technology into their schools and classrooms. Her commitment to human-centered innovation led her to create the Catholic Companion Framework for Technology and Innovation, a framework being adopted by dioceses and religious schools across the country to help educators thoughtfully integrate artificial intelligence through the lens of human dignity, ethical discernment, and sound pedagogy. She believes the future of AI in education will be determined not by the tools we adopt, but by the habits of thinking, discernment, and agency we cultivate in students.
Lauren Cage is a STEM educator with 14 years of experience designing and facilitating design challenge learning experiences for The Tech Interactive in San Jose, CA. She is experienced in instructional design, prototyping, and R&D collaboration, with expertise in inclusive pedagogy and equity-focused program development. She is a recognized national presenter on empathy in engineering, climate education, and AI literacy.
Presenter Bio — Shuai Yuan:** Shuai Yuan is the founder of Proof to AI (P2AI), a nonprofit that helps high school students build identity and critical thinking alongside AI fluency. For three years, she worked at Stanford Pre-Collegiate Studies and Stanford Online High School, supporting Stanford Math Circle, Stanford University Mathematics Camp (SUMaC), and serving as Lead Program Assistant for the Stanford USAMO testing site — after five years of teaching at Monta Vista, Fremont, and Saint Francis High Schools in Silicon Valley. She is the author of a four-book AI education series published in China this year, covering logic, science, art, and literature for young readers, and writes widely for Chinese-language education audiences. She holds master's degrees in both Education and Law.
**Student Co-Presenter—-Cyrus Chen** Cyrus is a SUMaC (Stanford University Mathematics Camp) '25 alumnus and current Applied Mathematics student at the University of Southern California ('30). He describes himself as a counterexample to the traditional math major — building at the intersection of human behavior, design, and logic, with experience spanning practical psychology, product design, and visual art. As an Agentic AI practitioner and Fellow with Proof to AI (P2AI), Cyrus builds AI agents for tasks such as visualizing mathematical formulas and creating personalized study assistants, treating AI as a collaborative partner rather than an answer machine. He co-presents this session to share a student's firsthand perspective on building identity and creative range alongside AI fluency.
Amanda Grutza is an educator, technologist, and advisor who helps people turn emerging technology into practical tools, systems, and learning experiences. She is the founder of Talk to Robots (talktorobots.org), a nonprofit that creates accessible, open-source, technology and AI education for teachers, students, and communities.
Through Third Space, Amanda consults with major business. technology companies, and growing organizations on tech stacks, AI implementation, workflow design, data systems, product strategy, and technical communication. Her work focuses on making complex technology useful, understandable, and grounded in real human needs.
Amanda also brings years of classroom teaching, curriculum design, project-based learning, and maker education to her work. She has built and tested AI-supported reading tools, student goal-setting systems, differentiated learning resources, interactive games, curriculum units, and educator workflows with real students. Her goal in life is to ensure that everybody has the ability (and confidence!) to access the progressive and cutting edge technology available to build and thrive.
Rebecca Gaillot has been a teacher for over 20 years, currently at Benjamin Franklin High School in New Orleans, LA. She has served as a leader in AI development and teaches AI Literacy courses as well as Engineering courses offered through dual enrollment with Louisiana State University. A dedicated advocate for AI policy in education, Rebecca has served on Louisiana's Board of Elementary and Secondary Education's AI Task Force, New Orleans Public Schools' AI Task Force, and the Louisiana Department of Education's Teacher Advisory for AI. She was also selected to represent Louisiana at MIT's Day of AI Summit, and has presented at national conferences including NCSS and NCTM. Rebecca is passionate about social justice in technology and is driven to help every student realize the paths they can take.
Manpreet Singh is a Technical Lead at Google. For two decades, Manpreet has built the invisible digital highways connecting our globe—all while leading mindfulness practices for thousands of colleagues.
Nicole Marie Erb (who is fairly certain that she is not an android) is a former English teacher who loves literature and believes that human creativity is more valuable than ever. She is the author of three novels in the YA sci-fi series, After Intelligence, and she leads writing workshops for teens focused on being human in a tech-filled world. Learn more about her work at tandemental.com.
Dr. Sonia Tiwari is the Director of Research at Oki Pie Lab where she explores the role of characters as facilitators of children’s learning experiences. She also hosts weekly creative workshops for families of children ages 5-10 in the Bay Area that public libraries, museums, and makerspaces, using characters as inspiration for expressive arts activities that strengthen self-expression and intergenerational connection.
Angela Chen is an educator, advisor, and builder working at the frontier of AI and education. She teaches entrepreneurship at Stanford, where she previously grew the Stanford Accelerator for Learning and built its Education Entrepreneurship Hub from a single sentence into a program supporting 200+ scholars and 70+ ventures. Through her AI education studio, We Launch Me, she advises schools on responsible AI adoption, coaches early-stage founders, and leads live "Build with AI" sessions for non-technical professionals. A former strategy consultant, edtech founder, and co-author of international research on AI's impact on the future of learning and work, she serves on the AI Advisory Committee of University of Toronto Schools, is certified in Anthropic's AI Fluency Framework, and is a Catalyst Fellow with the EDSAFE AI Alliance. She writes about the future of learning at newcurrent.substack.com.
Zhuozhuo "Joy” Liu is the co-founder of Hatch Hatch, an AI-native education company helping the next generation think, create, and build with AI. Her work focuses on using AI to amplify, not replace, students’ curiosity and creativity, while helping them develop the judgment and confidence to turn ideas into meaningful real-world projects.
She brings an interdisciplinary background across education, UX, software engineering and AI. She holds degrees in Psychology (Tsinghua), Education (UPenn), and Computer Science (UBC). She began her work as an intern at Khan Academy and Khan Lab School in 2016, and has since worked across UX research (Google), software engineering (Meta), and NLP research (UBC and Vector Institute).
On social media, she creates visual explanations that make AI and algorithms visible through animations, cartoons, and stories
Dr. Trudi L. Perkins spent seventeen years in LAUSD classrooms before deciding that educator development deserved the same rigor, respect, and reinvention she brought to her students. She holds an Ed.D. from USC and is the founder of Momentum Consulting Firm, LLC, where she lives by a simple company motto: Doing the usual thing of education in unusual ways. She is the creator of the Sage-Seeker's Journey™, a proprietary approach built on a stubborn belief that teachers are scholars first, and that real growth happens when educators are trusted to investigate their own practice instead of being handed someone else's answers. Dr. Perkins writes and speaks with the same voice in every room, whether that room calls for poetry, provocation, or plain truth. She is a scholar-practitioner, a contrarian thinker, and an unapologetic believer that education can be both deeply serious and genuinely alive.
Katie Christon is a Managing Director on the Talent Development team at IDEA Public Schools. Her team's work spans manager effectiveness, resource and video production, and supporting the organizational learning infrastructure across the network. As a former principal and classroom teacher, she is passionate about connecting educators with the tools they need to do their best work. With the onset of AI, she's been thinking a lot about what needs to stay human when so much of our thinking and writing can be outsourced.
Ashmeet Sahni, M.Ed., is an instructional designer and AI integration strategist working at the intersection of curriculum, professional learning, and emerging technology. As Coordinator of Curriculum and Instruction at Dublin Unified School District, she brings both the systems perspective and the classroom reality to every room she works in.
Her workshops on AI integration are built around a simple belief: teachers don't need more information — they need time, trust, and a space to figure this out together. Through her consultancy, Sahni Learning Designs, she works with schools and districts to build practical, human-centered approaches to AI integration — helping educators move from uncertainty to confident, purposeful use of emerging tools in the classroom.
Ashmeet is passionate about designing learning experiences that are practical, equity-minded, and, above all, human — because meaningful AI integration begins not with the tools, but with the teachers, and the best PD builds trust before it builds fluency.
Michael is a current UC Berkeley student studying Computer Science, Data Science, and History. In the past, he has served as an archivist for the Library of Congress and organized an oral history project with his local community. He has two years of experience as a teaching assistant and a teacher. In his free time, he enjoys F1, restaurant-hopping, and comedy.
Max Cady is beginning his 14th year as a project-based classroom educator. Previously, he taught at Liger Cambodia, Liger New Zealand, and High Tech High. Max is currently at Design Tech High School (d.tech) in Redwood City, where he runs a design thinking pre-apprenticeship program that connects 10th grade student teams to co-design with youth-serving organizations to solve actual design problems. Originally from New York City, Max holds a master’s in Technology, Innovation, and Education from Harvard. He lives in San Francisco with his wife and one-year-old son, and enjoys mountain biking and playing ultimate frisbee on the weekends.
Otavio Good is currently starting a company working on humanoid robots. He created Word Lens, the world's first augmented reality translation app, which was acquired by Google, and went on to work on computer vision and large language models at Google Translate. He also co-founded the console gaming company Secret Level, acquired by Sega, and led "All Your Shreds Are Belong to U.S.", the team that won the 2011 DARPA Shredder Challenge. Otavio *loves* working on side projects related to computers, math, science, and technology
BlueRobins is a UC Berkeley SkyDeck Pad-13 company building an AI-native Builder OS for students in grades 3–12, combining mentored projects, interactive modules, and certified portfolios in frontier fields. Raji Kannan, Founder and CEO of BlueRobins, is a serial entrepreneur and operator with deep experience across AI, computational imaging, augmented reality, and education. Her background includes Nokia Research, Intel RealSense, MIT Media Lab, Berkeley SkyDeck, and a YC-backed AR startup. After years of building frontier technologies, Raji turned her focus to education with a simple mission: to help millions of kids become builders of the future econo…
Azade Sanjari is co-founder and CEO of Ignite Curiosity Lab, which builds AI infrastructure designed to strengthen reasoning in K-12 education instead of simply delivering answers. A machine learning engineer by background, she has built production ML and computer vision systems and spent several years in education nonprofits expanding access to computer literacy, especially for girls. She is currently pursuing the Stanford Graduate School of Business LEAD program. Her work asks how children can learn to think with AI rather than let AI think for them.
Brandon Patino is the founder of AI Film Academy, where he has taught generative AI filmmaking to over 30,000 global learners through hands-on workshops, live events, and technical demos. His recent work has involved helping organiziations in Los Angeles equip students with essential tech and media skills to succeed in the workforce. Known for being a great workshop host and mentor in the video production space.
Presenter Bio