Presentation Panel
AI Literacy at Scale: Empowering Students, Educators, and Leaders for a Digital Future
Date Thursday, Dec 4 Time – Room: Tegel
This panel brings together strategies for building AI literacy at scale, from certifying teachers and students across entire school systems, to empowering educators with critical and creative skills, to guiding school leaders in ethical, inclusive, and human-centred AI adoption. Participants can explore what AI literacy means at scale, not as a technical add-on, but as a shared capacity that empowers educators, institutions, and learners to shape the intelligent age with curiosity, responsibility, and agency.
Dan Be Kim
AI Fellow, Harvard Graduate School of Education
Dan Be Kim is a startup founder turned educational technologist focused on reimagining teaching and learning in the age of AI. A startup enthusiast with an extensive background in product management, she has conceptualized and launched several marketplaces, including a venture-backed PropTech startup in the Bay Area. After arriving at Harvard determined to build evidence-based, AI-powered tools for education, she quickly discovered how overwhelmed and under-supported many educators and learners felt when engaging with this rapidly advancing technology.
Today, Dan Be’s work explores how AI can truly enhance and augment — not replace — human intelligence. Through PromptED, she helps educators and learners develop the intuition, fluency, confidence, and critical judgment needed to collaborate with AI in thoughtful, creative, and human-centered ways.
She currently contributes to research on Inspiring Moral AI Guidance in Education (IMAGINE) at the Harvard Center for Digital Thriving. In her role as an AI Fellow at the Harvard Graduate School of Education, she is helping to onboard ~700 incoming students by equipping them with the skills needed to leverage AI responsibly in their academic work and professional pursuits. As a Learning Design Fellow, she co-designed an AI literacy tutorial for all incoming students, a mandatory requirement before starting any coursework. The module introduces what responsible and effective AI use looks like in higher education, explores the nuance between school-wide and course-specific AI policies, and features diverse faculty perspectives to highlight how expectations vary across disciplines.
As an educational technologist, she is an active member of both the UNESCO Global Science of Learning Alliance and the Global Science of Learning Education Network (GSoLEN) hosted at UC San Diego, where she advocates for the conscious design of educational technologies grounded in evidence-based Science of Learning principles.
Maria-Antònia Guardiola
Director, Consultant, Researcher, Lecturer and Trainer, Universal Learning Systems & Open University of Catalonia
Maria-Antònia Guardiola is an education leadership and AI governance expert working across Europe on strategy, policy and capacity-building for schools and systems. Her work focuses on AI literacy, ethical adoption and equity helping leaders translate frameworks into practical classroom and institutional change. She collaborates with AIEOU at the University of Oxford, with Universal Learning Systems and contributes to European Digital Education Hub consultations on AI literacy, bringing practitioner feedback into policy design. A frequent speaker at international conferences, she bridges research, policy and practice to build inclusive, human-centred AI cultures in education.
Nimrod Rotem
Senior Consultant, Methodica Effective Learning
Nimrod Rotem is a veteran expert in AI-driven learning design and digital education, with over 20 years of experience leading large-scale projects for K‑12 systems and global corporations.
At Methodica Effective Learning, he spearheads the development of AI-integrated platforms for learning, assessment, and organizational training.
Nimrod lectures and consults worldwide, translating complex educational technologies into practical, impactful solutions and sharing insights on the future of education in the age of AI.
Links
Fostering AI Literacy, Not Teaching It: Sequencing and Startup Mindset in the Age of AI, Dan Be Kim
AI literacy isn’t a checklist of do’s and don’ts — it’s a mindset cultivated through guided practice, peer feedback, and the permission to fail. This session explores how a startup mindset that channels curiosity, agency, and resilience can reshape how we teach and learn with AI.
AI Literacy and Educational Leadership: Building Inclusive and Ethical Schools for the Intelligent Age, Maria-Antònia Guardiola
This presentation outlines a practical framework for AI literacy in schools, linking ethical governance, inclusive leadership and day to day decision-making to concrete classroom and policy actions. Participants will leave with leadership checklists, stakeholder engagement tips and ready-to-adapt guidelines to build trustworthy, human-centred AI cultures in their institutions.
Teaching AI Literacy at Scale – The Story of Q, Nimrod Rotem
In just one month, 150,000 teachers and 600,000 students were certified as fundamentally AI literate through a groundbreaking initiative built on an internationally recognized pedagogical model and a real-time, personalized hybrid learning environment.
This session will introduce the innovative AI Playground, which combines an intelligent digital coach, adaptive content, and immersive activities—setting a global benchmark for meaningful, ethical, and equitable AI-powered learning.