Teaching Resources

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Enrich your lessons

Browse teaching resources that explore the topics of our videos. All of these resources have been reviewed and approved by secondary science teachers.

Brain Development in Teenagers
Friday 10th Mar 2017, 09.30am

Brain Development in Teenagers

As you journey from childhood into your teen years and then into adulthood, your brain is changing in ways that might explain why the teen years can be a bit of a roller coaster. In this animation we take a look at what’s happening in teenagers’ heads and how researchers at the University of...

Machine Learning
Tuesday 10th Jan 2017, 08.45am

What is Machine Learning?

Machine learning is all around us; on our phones, powering social networks, helping the police and doctors, scientists and mayors. But how does it work? In this animation we take a look at how statistics and computer science can be used to make machines that learn.

In these resources students develop their own algorithms (KS3), explore the ethics of leaving decision making to machines (KS4), learn how images can get stored as data, and delve into what the consequences of false positives and negatives could be for various applications (KS5).
KS3 - All Sorted
KS4 - Computer Says No
KS4 - Picture This
KS5 - Testing Testing
In this lesson students will develop their own rules/algorithms for sorting objects and also look at the effect that increasing the size of the data set has. It is also possible to use the second part of this lesson to look at creating and using classification keys.
Students explore the ethics of using computers to make decisions. Is it a good idea to have computers making decisions if we can’t know how they are deciding the outcome? Are computers more or less likely to be biased than people? Are there some decisions that should always/never be made by computers?
In this lesson students will explore how bitmap images can be stored or displayed using binary notation, how the image can be compressed using RLE and information about meta-data that is stored with the image.
In this lesson, students discover some of the uses of machine learning in addition to exploring the numbers behind false negatives and false positives and some of their surprising consequences.