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      Lesson details

      Learning outcome

      I can explain the differences between predictive and generative AI systems.

      Key learning points

      1. Predictive AI makes predictions by using patterns found in existing data.
      2. Generative AI is a type of AI that produces new, original content based on the patterns it has learned.
      3. Predictive AI is typically applied in tasks like forecasting future trends and classifying data into categories.
      4. Generative AI can be used to produce a wide variety of new outputs, including text, images and code.

      Keywords

      • Predictive AI - machine learning algorithms use data to identify patterns and make guesses about the future

      • Generative AI - a type of artificial intelligence (AI) designed to generate content, such as text, images or sound

      Common misconception

      Only generative AI systems require training data to complete tasks.

      All AI systems rely on training data to perform tasks by using patterns identified in the data.

      Teacher tip

      Pupils may well have experienced using generative AI, perhaps start a classroom discussion about pupils experiences and examples before sharing the examples provided on the slides.

      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.
      What is the name for an approach in artificial intelligence where systems improve by learning from data?

      Correct Answer: machine learning

      Q2.
      Match each keyword to its definition:

      Correct Answer:machine learning,an approach where systems learn from data

      an approach where systems learn from data

      Correct Answer:rule-based,following set instructions

      following set instructions

      Correct Answer:data-driven,using examples to improve over time

      using examples to improve over time

      Correct Answer:retraining,updating a model with new data

      updating a model with new data

      Q3.
      What is the main difference between rule-based and data-driven systems?

      rule-based systems use data to learn rules
      data-driven systems use only rules
      Correct answer: rule-based systems follow predefined rules; data-driven systems learn from data
      both use the same approach

      Q4.
      Why might a machine learning model need to be retrained?

      Correct answer: to use new data and improve accuracy
      to change its appearance
      to reduce its size
      to delete old information

      Q5.
      Place these steps in order for developing a data-driven AI system:

      1 - collect data
      2 - train the model
      3 - test the model
      4 - deploy the model

      Q6.
      How can a data-driven system become more accurate?

      by ignoring new data
      by deleting old rules
      by reducing its size
      Correct answer: by retraining with more examples

      6 Questions

      Q1.
      What do we call AI that produces new and original content?

      Correct Answer: generative AI, generative

      Q2.
      Which task would most likely use predictive AI?

      writing a poem
      drawing a picture
      Correct answer: predicting tomorrow’s weather
      generating a story

      Q3.
      What is the main function of generative AI?

      sorting emails
      organising files
      Correct answer: producing new content
      calculating sums

      Q4.
      Which of these is an example of using predictive AI?

      writing a new song
      designing a logo
      writing a news article
      Correct answer: forecasting exam results

      Q5.
      Arrange these steps in the correct order for using predictive AI:

      1 - collect training data
      2 - train the model
      3 - make predictions
      4 - evaluate results

      Q6.
      Which of the following statements is false?

      generative AI can produce new text
      predictive AI can forecast future trends
      Correct answer: only generative AI uses training data
      both types of AI identify patterns in data

      To help you plan your 10 computer science lesson on: Predictive vs generative AI, download all teaching resources for free and adapt to suit your pupils' needs...