From concepts to classrooms—with AI by your side.
Whether you’re new to CBTL or refining your approach, this course will equip you with a clear understanding of conceptual teaching, practical strategies to implement it across subjects, and tools to integrate AI as a co-planner and thinking partner. Learn how to design learning that goes beyond content coverage—fostering deeper understanding, knowledge transfer, and student agency in an AI-enabled world.
Understand how concept-based teaching builds deep, transferable learning.
Use AI to co-plan lessons, spark inquiry, and support diverse learners.
Reflect on how AI is reshaping what—and how—we teach.
Meet Nat Erbes
Nat Erbes taught GCSE, A-Level, and IBDP sciences in the UK and Middle East before joining the International Baccalaureate (IB) for over six years where he served as a curriculum manager, and later as a senior manager leading the team responsible for the review of the IB’s Middle Years Programme. He later held a global policymaking role at the IB, looking at how IB world schools are authorised and evaluated. Nat has deep curriculum expertise, and has first hand experience in developing frameworks, guidance and policy to make abstract educational ideas both practical, and adaptable to different contexts.
Meet Rita Bateson
Rita is the Co-founder and Director of Education at Eblana Learning. She is a renowned educator, author, and mentor with over 20 years in international education. A former Senior Curriculum Manager at IB Global Headquarters, she was also the founding Head of School for an IB continuum school. Rita now focuses on helping schools ethically embrace AI, offering expert guidance to navigate rapid technological change.
Meet Mariel Reid
Mariel, a seasoned educator specializing in gifted and neurodivergent students. With a master’s in Pastoral Care, she explores student agency and engagement as an MYP teacher. Experienced in cutting-edge projects like Google Gemini and Italy’s first AI + Education Fellowship, she advocates for ethical AI in education.
Curriculum
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1
AI and Conceptual Learning
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Course Welcome
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Course Structure
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2
Engage
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Getting Started
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Course Overview
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Pre-Course Reflection
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3
Explore the Big Ideas
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Explore
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Exploring the Big Ideas
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Diving into Concept-Based Teaching and Learning
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Quick Read
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4
Explain the Requirements
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Using AI to Support Implementation of CBTL: Generalization
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Demo - Unlocking Generalization with AI
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Using AI to Adapt Resources and Support CBTL Assessment
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Khan Academy AI Demo
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Learning Check Activity
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5
Elaborating how to implement CBTL, and Unlocking it with AI
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Unlocking Classification with AI
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Unlocking Near and Far Transfer with AI
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Reflection Activity
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Resource Download
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6
Evaluate the Impact of AI on The Need for Pedagogies like CBTL
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Evaluate
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Summary
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Closing Remarks
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7
Embedding Your Learning
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Embed
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Recommendations
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Proximal Assessment
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8
Extend
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Extend
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Rethink the Role of Knowledge in the Age of AI
This course equips you to navigate the evolving educational landscape with purpose, clarity, and practical strategies.