Year 9 - Computing
AI and machine learning applications
Machine learning using the micro:bit
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Study Guides
This pupil-friendly study guide includes a unit summary, clear notes, common mistakes, and quick questions with answers.
Unit Summary
This unit is designed to develop pupils programming skills in a new engaging context: physical computing, using the BBC micro:bit. They will get acquainted with the host of components built into the micro:bit, and write simple programs that use these components to interact with the physical world.
Lesson Summary
You will learn to justify the use of artificial intelligence (AI) to solve a problem.
Key Notes
- Machines can be called artificially intelligent if they can "learn" from, and adapt to, new data.
- AI systems are data-driven and make predictions based on patterns in large amounts of existing data.
- AI systems can "learn" by adapting the way they find patterns.
- Data-driven systems are different from rule-based systems, which make decisions based on fixed rules provided by humans.
- Data-driven systems are useful for solving complex problems where rules are too difficult or time-consuming to write.
Vocabulary To Learn
- intelligent: the ability to "learn" and adapt to new situations
- rule-based: decisions follow fixed, predefined rules
- data-driven: decisions or predictions are based on patterns found in large amounts of data
Common Mistakes To Avoid
- All artificial intelligence systems use machine learning.
3 Quick Questions (With Answers)
1. Describe the system or process from this lesson in clear steps.
Machines can be called artificially intelligent if they can "learn" from, and adapt to, new data. AI systems are data-driven and make predictions based on patterns in large amounts of existing data.
2. Define this computing term and give one practical example. 'intelligent'
the ability to "learn" and adapt to new situations. Add one real device or system example to prove understanding.
3. Correct this common computing misconception.
Mistake: All artificial intelligence systems use machine learning. Correction: No, some AI systems, such as rule-based expert systems or symbolic AI, use predefined logic and heuristics rather than learning from data.
More Lessons In This Unit
Browse all guides in the Year 9 Computing guide library.