K2 or K3 Artificial Intelligence unit

This 10 lesson unit introduces how AI works with a focus on face data and ethical concerns. It incorporates Machine Learning For Kids software and Face Sensing blocks in Scratch.

• 10 detailed lesson plans, including starter and plenary activities.
• 73 teaching slides.
• Unplugged activities including team physical games, system design, class presentations, and ethical discussions.
• Digital activities include interacting with a range of AI, developing a Machine Learning model, and programming a game.

Students explore Artificial Intelligence by learning how face detection works and why it plays such an important role in many digital systems. Across the unit, they investigate how AI uses data to detect faces, respond to facial features, and support tools such as phone security, social media tagging, smart attendance systems, and interactive games. Students also examine the limitations of face detection by considering privacy, fairness, and the ways AI can make mistakes. Through discussion, hands-on activities, and Scratch projects, students build their understanding of machine learning and image recognition while designing, testing, and evaluating their own AI-inspired solutions.

These resources have been written to align with the CSTA G3-5 AI priorities for K-12 curriculum. They would be suitable for a Year 6 or 7 student who is new to learning about how AI works.

Please contact sarah@codeavengers.com if you have any questions about the resource.