This Year 6–8 artificial intelligence lesson introduces machine learning through an unplugged classification activity. Students act as the “AI” by sorting labeled alien images into categories, identifying patterns, and using those patterns to make predictions.
Students learn the difference between training data and testing data as they study example images, create rules, and classify new unseen examples. This lesson helps students understand how machine learning models are trained, tested, and affected by the data they use.
This resource supports AI literacy, machine learning, classification, training data, testing data, pattern recognition, data labels, computational thinking, and digital technologies.
Included file type: PDF.
Keywords: machine learning, AI lesson, training data, testing data, data labels, classification, image sorting, pattern recognition, artificial intelligence, Year 6 AI, Year 7 AI, Year 8 AI.
This lesson is 5/10 in a unit plan that introduces how Artificial Intelligence works with a focus on face data. It incorporates MachineLearningForKids and Face Sensing blocks in Scratch. There are:
- 10 detailed lesson plans includes starter and plenary activities.
- 73 teaching slides.
- Unplugged actitivies include team physical games, system design, class presentations and ethical discussions.
- Digital activites includes 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.
The resources was written to align with the G3 - 5 AI priorities for K-12 curriculum. They would be suitable for a Year 6 - 8 student who is new to learning about how AI works.
Please contact sarah@codeavengers.com if you have any questions about the resource.
Something went wrong, please try again later.
This resource hasn't been reviewed yet
To ensure quality for our reviews, only customers who have downloaded this resource can review it
Report this resourceto let us know if it violates our terms and conditions.
Our customer service team will review your report and will be in touch.
£0.00