Gathering data for a model
Lesson details
Learning outcome
I can record and label movement data.
Key learning points
- The first step in a data-driven approach to problem solving is to decide what data is needed.
- A data-driven application requires a large number of data samples.
- Samples are labelled to create classes and can be used to train a model, which represents something in the real world.
Keywords
Sample - a single set of data used for training or testing
Class - a category or label given to samples
Model - a system that uses patterns in data to represent something in the real world and can be used to make predictions
Common misconception
The micro:bit understands movement like a human does.
The micro:bit records numbers (x, y, z acceleration) that are then interpretted using programmed instructions.
Teacher tip
This lesson models the example of a tennis shot movement, but learner should be encouraged to come up with their own movements to record samples of that have more interest to them.
Equipment
Pupils will need access to a physical device to capture data and a means of creating a data-driven application. Examples in this lesson use micro:bits and CreateAI https://oak.link/createai
Licence
Lesson video
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Prior knowledge starter quiz
6 Questions
Q1.Match the system with its category.
a chatbot that always gives the same response
a smart thermostat that adjusts over time
Q2.The phrase ‘I know!’ appears in the Quick Draw system when enough is provided for a high-confidence prediction.
Q3.Which of the following best describes a data-driven system?
Q4.Match the AI-related term with its definition.
a system that processes data, finds patterns and adapts
a method where decisions are made using patterns in large data sets
a system that follows predefined instructions or conditions
a subset of AI where systems improve as they process more data
Q5.A TV recommendation system that uses AI to suggest shows is an example of a approach.
Q6.Why do AI systems require large amounts of data?
Assessment exit quiz
6 Questions
Q1.What is a sample in the context of gathering data for a model?
Q2. is measured in three directions: x (side-to-side), y (forward-backward), and z (up-down).
Q3.Why do we label movement data with 'good' and 'bad'?
Q4.A is a way of representing something in the real world using data patterns.
Q5.Match the concept with the definition.
a system that represents real-world data patterns
a single set of data used for training or testing
a category assigned to multiple samples
a method where decisions are based on patterns in data
Q6.When creating a movement model, motion values for x, y and z are plotted against ...
To help you plan your 9 computing lesson on: Gathering data for a model, download all teaching resources for free and adapt to suit your pupils' needs...
To help you plan your 9 computing lesson on: Gathering data for a model, 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 3 computing lessons from the Machine learning using the micro:bit unit, dive into the full secondary computing curriculum, or learn more about lesson planning.