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      Machine learning and artificial intelligence

      Lesson details

      Learning outcome

      I can describe artificial intelligence and machine learning, and explain how machine learning differs from traditional programming.

      Key learning points

      1. Artificial intelligence is about computer systems that learn from data or follow rules to perform complex tasks.
      2. Machine learning is a type of artificial intelligence where computers learn from data and improve over time.
      3. Machine learning is different from programming because it learns rules from data instead of being told what to do.

      Keywords

      • Artificial intelligence (AI) - computer systems that adjust their outputs based on data or follow rules to perform complex tasks

      • Machine learning (ML) - a system that uses data to improve its output without being programmed

      • Programming - the process of writing rule-based computer programs

      Common misconception

      Artificial intelligence and machine learning are the same thing.

      Machine learning is a type of artifical intelligence that helps machines get better at tasks by learning from data, not just following pre-written instructions and rules.

      Teacher tip

      Ask learners to consider how AI is part of their daily lives. For example, get them to consider how AI is used in social media for content recommendation and video games for non-player character (NPC) behaviour in games.

      Licence

      This content is © Oak National Academy Limited (2025), licensed on Open Government Licence version 3.0
      except where otherwise stated. See Oak's terms & conditions
      (Collection 2).

      Lesson video

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      Prior knowledge starter quiz

      6 Questions

      Q1.
      Why do organisations use data science?

      Correct answer: to make smarter decisions
      to create artwork
      to build houses
      to grow plants

      Q2.
      What does it mean to analyse data?

      to ignore it
      to throw it away
      to copy it without checking
      Correct answer: to look at it carefully to understand it better

      Q3.
      What is the purpose of data cleaning?

      to make data more confusing
      to make data larger
      Correct answer: to fix or remove mistakes in data
      to delete all data

      Q4.
      What is it called when information is unfair or unbalanced, leading to results that do not represent everyone equally?

      Correct Answer: bias

      Q5.
      Arrange these tasks in the correct sequence for removing bias from data:

      1 - identify sources of bias
      2 - collect data from a wider group
      3 - adjust the data to be more representative
      4 - check the results

      Q6.
      What is the main goal of analysing data patterns?

      to ignore trends
      to make data less clear
      to hide results
      Correct answer: to discover useful information

      6 Questions

      Q1.
      Match each keyword to its correct description:

      Correct Answer:artificial intelligence,complex tasks using learning or rules

      complex tasks using learning or rules

      Correct Answer:machine learning,improves by adjusting its output based on data

      improves by adjusting its output based on data

      Correct Answer:programming,writing instructions for computers

      writing instructions for computers

      Correct Answer:data,facts or information

      facts or information

      Q2.
      Which of the following shows a system learning from data?

      a printer making copies
      a clock telling time
      Correct answer: a computer that plays chess better after many games
      a calculator doing sums

      Q3.
      What does machine learning use to improve over time?

      Correct Answer: data

      Q4.
      What is the main goal of machine learning?

      to stay the same
      Correct answer: to improve performance by adjusting output based on data
      to make things more complicated
      to avoid using data

      Q5.
      Put these steps in the correct order for how a machine learning system improves:

      1 - collect data
      2 - train the system
      3 - test its performance
      4 - improve based on results

      Q6.
      Why is programming still important when using artificial intelligence?

      Correct answer: it provides the basic instructions and structure
      it is not used at all
      it only creates errors
      it replaces all data

      To help you plan your 8 computing lesson on: Machine learning and artificial intelligence, download all teaching resources for free and adapt to suit your pupils' needs...