Machine learning
Lesson details
Learning outcome
I can recognise the applications of machine learning and some common machine learning models.
Key learning points
- Machine learning (ML) is a form of artificial intelligence that allows systems to “learn” from data.
- Unlike traditional programming, where rules are manually written, ML models “learn” rules from the data itself.
- As new data is collected, ML models can be retrained to become more accurate and relevant over time.
Keywords
Machine learning - an approach used to design and build artificial intelligence (AI) systems that is said to “learn” by using examples in the form of data
Rule-based - a way of designing systems using a set of predefined rules
Data-driven - a way of designing systems using data instead of step-by-step instructions or rules
Common misconception
Machine learning is the same as artificial intelligence.
Machine learning is one of the techniques that people can use to build artificial intelligence system models. It is a subset of artificial intelligence.
Teacher tip
The difference between rule-based and data-driven applications is a fundamental concept that pupils should understand before moving on to the next concepts in this unit. If pupils need to, perhaps cover some more examples of rule-based and data-driven approaches.
Licence
Lesson video
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Prior knowledge starter quiz
6 Questions
Q1.What do we call technology that enables machines to perform tasks that seem intelligent or human-like?
Q2.Which of these is an example of a system that adjusts its recommendations based on your previous choices?
Q3.What feature do chatbot applications and voice assistants have in common?
Q4.Match each term to its correct description:
systems that can perform tasks in ways that seem intelligent
a system that interacts with users through text or speech
software that identifies unusual or suspicious financial activity
technology that forecasts future atmospheric conditions using data
Q5.What is the main benefit of using AI in recommendation systems?
Q6.Which statement best describes an “application” in the context of AI?
Assessment exit quiz
6 Questions
Q1.What is the main difference between traditional programming and machine learning?
Q2.What term describes an approach where decisions are made using information collected from examples rather than fixed instructions?
Q3.Match the example to the correct approach:
when computers use examples to learn and improve
thermostat turning on heating at a set temperature
app recommending music based on listening history
calculator adding numbers
Q4.Put these steps in order for how a machine learning model is improved:
Q5.Which of these tasks is most suitable for machine learning?
Q6.Which statement about artificial intelligence is correct?
To help you plan your 10 computer science lesson on: Machine learning, download all teaching resources for free and adapt to suit your pupils' needs...
To help you plan your 10 computer science lesson on: Machine learning, download all teaching resources for free and adapt to suit your pupils' needs.
The starter quiz will activate and check your pupils' prior knowledge, with versions available both with and without answers in PDF format.
We use learning cycles to break down learning into key concepts or ideas linked to the learning outcome. Each learning cycle features explanations with checks for understanding and practice tasks with feedback. All of this is found in our slide decks, ready for you to download and edit. The practice tasks are also available as printable worksheets and some lessons have additional materials with extra material you might need for teaching the lesson.
The assessment exit quiz will test your pupils' understanding of the key learning points.
Our video is a tool for planning, showing how other teachers might teach the lesson, offering helpful tips, modelled explanations and inspiration for your own delivery in the classroom. Plus, you can set it as homework or revision for pupils and keep their learning on track by sharing an online pupil version of this lesson.
Explore more key stage 4 computer science lessons from the Data science: AI and machine learning unit, dive into the full secondary computer science curriculum, or learn more about lesson planning.