
A quick welcome and course overview to help you get oriented before the first module begins.
In this foundational session, Evren Yiğit introduces a child-centered lens for AI in education by connecting AI, child development, and everyday classroom realities. She frames AI as a psycho-socio-technical system that can influence how children think, feel, and interact, and introduces the core principles and guiding questions that will anchor the rest of the training.
In this introductory session, David Kerrigan provides a clear, educator-friendly foundation for understanding AI. He demystifies key concepts in plain language, clarifies common misconceptions, and helps teachers recognize how AI shows up in everyday tools and workflows. The session builds a practical vocabulary and mental model that supports more confident, informed decisions throughout the rest of the course.
This session explores the global governance and ethics landscape shaping AI in education. René Ponce Carrillo highlights key frameworks and discusses how culture and context influence what responsible implementation looks like in practice.
Ben Whitaker examines the culture change behind AI in schools. He looks at how trust, expectations, and everyday teaching practice shift with AI, and how educators can lead adoption in ways that support learning without losing what makes education human.
Dr. Constantine Andoniou explores how AI is changing the way students learn, think, and grow, and what this shift means for teachers and faculty. The session offers practical strategies for teaching, assessment, and student support in an AI-shaped learning environment, with a focus on preserving human agency, critical thinking, and healthy development.
Designed for immediate classroom use, this session provides practical tools for teaching AI literacy with children ages 6–11. İlkem Kayıcan Dipcin offers structured approaches and activity examples that help students explore AI with guidance, reflection, and developmentally appropriate support.
In this session, Dr. Nick Jackson focuses on how students can learn with AI in ways that strengthen real understanding. Using a simple classroom example, he shows how to turn AI into a learning partner that supports thinking, reflection, and better questions, while keeping students in charge of the learning process.
In this session, Phillip Alcock explores how project-based learning helps students engage with AI through making, reflection, and real-world problem solving. The focus is on active learning, student agency, and meaningful outcomes.
Dr. Sonia Tiwari explores practical ways AI can augment creativity through art-based activities, while staying grounded in child development and purpose. The session shares classroom-friendly ideas and guidance for using AI as a creative support, not a replacement.
Yeşim Kunter explores how play and play-based learning can become a powerful bridge for introducing AI-related ideas to children. The session offers practical, child-centered ways to use play to spark curiosity, meaning-making, and healthy boundaries around AI.
Jeffrey Kluge uses real-world examples to unpack the ethics of digital participation for children, including age verification and consent. The session offers practical questions adults and children can use to judge whether an experience is healthy, fair, and in the child’s best interests.
İbrahim Ali guides learners through the legal dimensions of AI in education. The session focuses on practical issues educators face most often, including student data privacy and protection, and intellectual property questions around content uploaded to or generated by AI tools. Participants gain a clearer understanding of how legal expectations can vary across jurisdictions and what that means for informed, compliant use in schools.
Disclaimer: This course contains the use of artificial intelligence.
Featuring sessions from world-leading experts on kids and AI, this 360-degree online teacher training is a must-have for teachers and school leaders teaching students ages 6–12 who want a clear, practical roadmap for using AI in the classroom.
The course covers AI foundations, then moves into practical strategies that help students learn with AI without outsourcing thinking. It includes classroom-ready approaches for critical thinking, project-based learning, and routines that keep student reasoning visible and meaningful. It also brings in creativity and play as essential pathways, offering developmentally appropriate ways for children to explore AI through making, imagination, and reflection, with healthy boundaries in place. Finally, the training covers the essentials of ethics and law in education settings, including privacy, student protection, and intellectual property, so decisions are not only practical, but also responsible and compliant.
Designed to be easy to follow no matter a teacher’s current level of AI experience, each module uses clear language, concrete examples, and actionable guidance. Teachers and leaders leave with guiding questions for choosing tools, clear classroom norms for student use, and activity ideas suited to ages 6–12. The training also supports confident conversations with students and parents, and helps schools align practice across classrooms so AI use is consistent, thoughtful, and child-centered.