explore our ai curriculum
Our curriculum is free to help educators prepare students to thrive in a world increasingly shaped by artificial intelligence — whether they become engineers, artists, or activists.
Our AI Curriculum Framework is designed to empower learners at all levels to become thoughtful, ethical users and creators of intelligent technologies.
From the primary levels, where pupils explore foundational concepts such as pattern recognition, decision-making, and the role of data, to Key Stage 3, where students engage deeply with the technical, ethical, and societal dimensions of AI, we provide a comprehensive pathway.
Through playful experimentation, inquiry-based learning, and project-based activities, learners develop not only computational fluency but also critical thinking, empathy, and responsible digital citizenship. Our curriculum nurtures curiosity and agency, preparing children and young people to navigate and shape an AI-driven future with confidence, integrity, and purpose. We emphasize values like fairness, accountability, and transparency, ensuring that our learners are equipped to contribute to the development of inclusive and equitable technologies.
For Key Stages 1 and 2, the curriculum focuses on introducing foundational AI concepts through playful experimentation, inquiry-based learning, and discussions. Students explore pattern recognition, decision-making, machine learning, data bias, and human-computer interaction. Emphasis is placed on values like fairness, accountability, and transparency. The aims include experimenting with simple AI tools, developing basic AI knowledge, understanding data’s role in AI, evaluating AI capabilities and limitations, collaborating on AI projects, and developing social and ethical awareness.
Key Stage 3 builds upon this foundation, engaging students more deeply with the technical, ethical, and societal dimensions of AI. It fosters computational fluency and ethical literacy, encouraging critical thinking and human-centered solutions. Students investigate how AI systems are built, learn, and impact society. The aims include deepening conceptual understanding of AI, applying computational and data thinking, analyzing and interpreting AI systems, evaluating ethical and societal implications, collaborating on interdisciplinary projects, communicating with clarity, and cultivating responsible digital citizenship.
Introduces foundational AI concepts through imaginative play, focusing on recognizing AI in daily life, understanding simple rules machines follow, and exploring basic classification and sorting activities.
KEY STAGE 1
Focuses on understanding smart technology, including recognizing smart devices, identifying cause and effect in machine learning, and exploring voice tools and basic natural language AI.
YEAR 1
Emphasizes data, patterns, and digital decisions, covering sorting and classifying objects, training machines with tools like Teachable Machine, and understanding helpful versus harmful decisions, including basic concepts of bias.
YEAR 2
Deepens the understanding of AI by exploring how machines use data to recognize patterns and make predictions, engaging in activities that simulate machine learning and questioning the fairness and accuracy of AI systems.
KEY STAGE 2
Explores smart systems and everyday AI, identifying AI uses globally, creating AI-powered storytelling, and understanding how to resolve issues in AI creations and improve model performance.
YEAR 3
Compares human and machine thinking, simulating training data cycles, comparing machine vision/hearing with human perception, and analyzing fairness in AI outcomes across different data.
YEAR 4
Focuses on AI in personal learning and the real world, understanding AI as a learning coach, investigating AI in various industries, and debating ethical considerations like privacy, transparency, and automation.
YEAR 5
Centers on designing with AI and the future, using tools to create AI like chatbots and classifiers, exploring future scenarios, jobs, and creativity with AI, and completing an AI capstone challenge to solve a real-world problem in a group.
YEAR 6
KEY STAGE 3
Students delve deeper into the technical, ethical, and societal aspects of AI, learning to build, analyze, and critique AI systems while understanding their real-world applications. The curriculum aims to develop both computational fluency and ethical literacy, preparing students to responsibly contribute to an AI-driven world.
Focuses on exploring how AI "thinks," including how machines learn from data, simulate human thought, and the practical applications of AI in everyday life.
YEAR 7
Centers on building and testing AI models, designing AI systems, understanding accuracy and bias, and examining AI's role in automating real-world processes.
YEAR 8
Aims to delve into AI and society, exploring ethical dilemmas, evaluating transparency and accountability, and co-designing future applications of AI.