⏱️ Do It Now
Create a OneNote Page
Copy both the title and the DIN task into the page – then complete the DIN task:
Y9 – IT3 – Machine Learning
| 📝 Do It Now |
| Answer each of the following: (1) What AI products (the main ones) can you name? (2) What are most of these AI chat services capable of creating? (3) Identify something AI cannot currently do |
🎯 Lesson Objectives
| (1) We are learning what is meant by the term machine learning (2) We are learning the reinforcement process through which machine learning occurs (3) We will be able to identify and describe a range of narrow field AI models |
🎓 Demonstration – Machine Learning
⌨️ Machine Learning Simulator
Click this link to access the machine learning simulator:
Sign in to GoCodeIt and save the code to your playground
This program is a simulation of how machine learning works:
⌨️ You enter a hex value and the computer then guesses what the colour is.
💯 You give the computer a rating as to whether it guessed correctly or incorrectly.
🔁 Over time it relies more on your feedback, until eventually it always guesses correctly.
🤖 How Does It All Work?
⌨️ Activity 1 – Machine Learning Through Reinforcement
| ⌨️ Activity 1 – Machine Learning Through Reinforcement Write an paragraph outlining how machine learning could be used to train a computer to identify shapes (1) Identify what data the user will provide (2) Describe what predictions the computer will make (3) Explain how the computer will learn to make the correct predictions over time |
📖 Narrow Field AI
⌨️ Activity 2 – AI Mini-Report
| ⌨️ Activity 2 – AI Mini-Report (1) Explain the key differences between Artificial General Intelligence and Narrow-field Artificial Intelligence (2) Compare the differences and similarities between two types of Narrow-field AI (3) Identify and Describe an example of Narrow-field AI that wasn’t in the slideshow Extension ———————————————————————————————— (4) Accurate and appropriate training is a crucial aspect of all AI models. Discuss (with your own examples – they can be hypothetical) the risks of not training AI models properly. |
