AI and Machine Learning Workshop (Y5 - Y11 / P6 - S5)
Workshop Provider: Hyett Education
Workshop themes & Tags: Wide variety of themes - speak to us to see if we can help or create a bespoke session
Age Suitability: Key Stage 3, Key Stage 4 and Key Stage 5
Delivery Locations: England, Scotland, Wales
Workshop Summary:This workshop introduces students to Artificial Intelligence (AI) and Machine Learning, focusing on their applications in self-driving vehicles. Students learn physical computing and coding concepts with BBC micro:bit computers, and build and program a robot buggy with AI capabilities.
The workshop covers traditional coding and contrasts it with machine learning, where computers learn from data rather than explicit instructions. Neural networks, inspired by the structure of the human brain, are introduced as a key concept underpinning how machines learn. Students engage in activities related to reinforcement learning, pattern recognition, and image recognition, including using an AI-powered camera to program their buggy to recognise traffic signals.
The workshop also touches on the ethical implications of AI, and helps students consider safety and privacy within their use of this developing technology.
All our workshops are run by experienced instructors, and we can tailor sessions to include all children, including those with SEN, so that the children can access all activities. When you make any additional needs of your group known, our team can explain how they can encourage, support, and motivate each and every child.
Workshop Aims:
Highlight the importance of STEM (Science, Technology, Engineering, and Mathematics) education, emphasising "artificial intelligence engineer" as a potential STEM career path.
Introduce fundamental concepts of Artificial Intelligence and machine learning, and iIllustrate practical applications of machine learning.
Demonstrate the difference between traditional coding which uses selection, repetition, and event-driven logic, and contrast this to machine learning.
Explore through practical experiments, a variety of machine learning techniques, including reinforcement learning, pattern recognition, and image recognition.
Comprehend the principles of neural networks as the basis for machine learning, and explore this through a practical exercise.
Understand some of the basic techniques used by self-driving vehicles.
Consider the ethical implications of AI - safety, privacy, job retention, accountability, energy use, etc.
Build and code a self-guided robot that uses image recognition to determine its actions.
Additional Information:
Tech we use:
iPads
Micro:bit computers and battery holders
Microsoft MakeCode application
Building instructions for AI buggy
Nezha Inventor’s Kit for micro:bit
Micro:bit Smart AI Lens kit
Images for neural network simulation
Curriculum Objectives:
Computing KS2
Design, write and debug programs that accomplish specific goals, including controlling or simulating physical systems
Use sequence, selection, and repetition in programs; work with variables and various forms of input and output
Computing KS3
Design, use and evaluate computational abstractions that model the state and behaviour of real-world problems
Understand a range of ways to use technology safely, respectfully, responsibly and securely, including protecting their online identity and privacy
Design and Technology KS3
Investigate new and emerging technologies
Apply computing and use electronics to embed intelligence in products that respond to inputs [for example, sensors], and control outputs [for example, actuators], using programmable components [for example, microcontrollers].
AI and Machine Learning Workshop Formats:
Appropriate for students from Year 5 to Year 11 (The workshop will be adpted for each age group).
Minimum session time of 2 hours
Maximum group size of 30, with students working in pairs.
Standard Python Experience:
- 2 x 2 hr sessions per day
- Up to 60 students/day
In-Depth Python Experience:
- 1 x 4 hrs session/day
- Up to 30 students/day