Myths about teaching can hold you back
- Year 10
- OCR
Data driven models
I can recognise that AI systems rely on data-driven models and the importance of data quality.
- Year 10
- OCR
Data driven models
I can recognise that AI systems rely on data-driven models and the importance of data quality.
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Lesson details
Key learning points
- Data-driven models find patterns in data to make decisions or predictions.
- Accurate, complete and unbiased data is essential for effective AI.
- Poor data leads to wrong predictions and unreliable AI results.
Keywords
Bias - when something is unfair towards or against something or someone
Cleaning - dealing with various issues that are commonly found in raw data sets, such as missing data, duplicated records and outliers
Common misconception
A model can be improved by providing more training data.
Although a large data set is important, more data doesn't necessarily improve output. It is important that training data is high-quality, accurate and diverse.
To help you plan your year 10 computer science lesson on: Data driven models, download all teaching resources for free and adapt to suit your pupils' needs...
To help you plan your year 10 computer science lesson on: Data driven models, 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.
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Lesson video
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Prior knowledge starter quiz
6 Questions
Q1.Which of the following is a potential risk associated with the introduction of AI systems?
Q2.Why is privacy an important issue in the context of AI?
Q3.What is the term for when an AI system produces results that are unfair towards certain groups or individuals?
Q4.Arrange these steps in order to help make AI systems fairer:
Q5.Why is it important for AI systems to be transparent?
Q6.Which statement about AI systems and access to technology is correct?
Assessment exit quiz
6 Questions
Q1.When choosing data to train an AI system, what should you look for?
Q2.A team is preparing raw data to train an AI model. They notice some missing entries, repeated rows, and strange values that don’t fit the pattern. What process should they carry out?
Q3.Match the keyword to the definition.
when something is unfair towards or against something or someone
dealing with various issues that are commonly found in raw data sets
a data point that's significantly different from others in the dataset