Building a data-driven application
Lesson details
Learning outcome
I can build a simple application that uses predictions from a machine learning model to control program flow.
Key learning points
- Program events can be triggered when recognition points are met.
- Program flow can be changed using blocks that detect if a recognition point has been met, or by using certainty values.
Keywords
Recognition point - the level of certainty that causes an input to match a class
Program flow - the order in which the instructions in a program are executed
Common misconception
Building a machine learning app just means coding as you would do with any other programming project.
Building a machine learning app involves data collection, model training and coding the application. These facets are integral in developing a machine learning app.
Teacher tip
This lesson discusses certainty points. This could be linked back to the quick draw example where the model said "I know..." and it may be worth pupils revisting this.
Equipment
Pupils will need micro:bits for this lesson and access to a device that can access CreateAI online.
File needed for this lesson
microbit-Oak 1.29 MB (HEX)
Download this file to use in the lesson.
Licence
Lesson video
Loading...
Prior knowledge starter quiz
6 Questions
Q1.What is the purpose of a null class in a machine learning model?
Q2.The process of removing or replacing outliers is called ...
Q3.Which of the following is not a method for improving a machine learning model?
Q4.What does it mean for data to be misclassified?
Q5.To reduce uncertainty in a model's predictions, you can add a class.
Q6.Pair each problem with its solution.
data cleaning
adding a null class
use diverse data
Assessment exit quiz
6 Questions
Q1.Why is a smiley face a suitable icon for a "good" movement?
Q2.What does the 1is ML detected block do?Code colour
Q3.The level of certainty that causes an input to match a class is called the ...
Q4.The default recognition point in CreateAI is ...
Q5.Match the block with its function.
provides a visual output
provides an audio output
checks if a class is detected with a certain level of confidence
gives a numerical value for the model's confidence
Q6.To use your machine learning model on the micro:bit, you need to your program to the device.
To help you plan your 9 computing lesson on: Building a data-driven application, download all teaching resources for free and adapt to suit your pupils' needs...
To help you plan your 9 computing lesson on: Building a data-driven application, 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.