Typically completed by 10-14 year olds, students work collaboratively on a five hour project or challenge in self-managed groups. During the project, they use a CREST Discovery passport to record and reflect on their work. Afterwards, students communicate their findings as a group presentation.
Each pack provides teaching guides, kit lists, example timetables and suggested starter activities to help you run your day. Find out more about CREST Discovery Awards.
There are more CREST approved resources that have been developed by our partners and providers specific to your region.
Overview Machines of the future has been specifically developed to meet the CREST Discovery Award requirements. By undertaking the activity and completing the reflective CREST Discovery Passports, all your students should be able to achieve an Award, which you can enter them for at the end. This resource can be delivered in school during lessons, as an extracurricular activity or as an enterprise activity. The project can be completed over 5 lessons or as a one day event. To deliver these activities no prior knowledge of machine learning is needed. The challenge In this 5 hour project, students aged 10-14 will work in teams to find out about machine learning and come up with an idea for using it in a home environment. Students will: • Research existing machine learning tools and explore the future potential of this technique. • Develop a concept for their own machine learning tool. • Decide on what data they would need to collect and how they would source the data. • Create a plan for how the machine might process the data and how this would be useful for humans. • Draw a detailed design for the physical form of their machine learning tool. • Develop ideas about how to market their product. Learning objectives • Reflect on how they and their families have experienced technological change and consider future technological changes they might experience. • Explore what machine learning tools there are and how they work. • Understand the potential of utilising machine learning tools and the capacity of machine learning, specifically in reference to SMART appliances. • Use their knowledge of AI and machine learning to design a product in a realworld context. 4
Materials and printing list Activity Materials/printing for a group of 30 PowerPoint slides Introduction and starter 1x Teacher facilitation questions (1 per adult) 1x Everyday examples of machine learning (1 per adult) 30x Discovery Passports (1 per student) Internet access and sound for PowerPoint display 1-11 Workshops (divide class into 3 groups and rotate between workshops, reusing most materials) Workshop 1 (materials reused) 5x Workshop 1 instructions (1 per pair) 5x Workshop 1 decision chart (1 per pair printed on A3) 5x Workshop 1 decision card sets (1 per pair) Workshop 2: (materials reused) 5x Workshop 2 instructions (1 per pair) 5x Case study 1: Netflix cards (1 set per pair) 5x Case study 2 and 3 cards (1 set per pair) 5x Flow diagram OR Basic flowchart (1 per pair) 5x laptops with internet access (1 per pair) 10x headphones and splitters (1 per student) Workshop 3: (worksheets used once) 15x Workshop 3 instructions/worksheet (1 per pair) 5x laptops with internet access (1 per pair) 12-16 Design 10x Team roles (1 per group) 10x Idea development (1 per group) 10x Planning guide (1 per group) 10x Idea sheets (1 per group printed on A3) 17-19 Research and Planning Poster making materials (paper, coloured pens) 19 Presentations and plenary Created posters 20-21 5
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