Module 2: Patterns and play

How does Computational Thinking link to data in Digital Technologies?

So now that we have a clear idea of what Digital Technologies and Computational Thinking is, we move towards breaking them down to further develop our own understanding. In Module 2 – Patterns and Play the focus is on Collecting, Managing and Analysing Data.

When looking at data we are building on concepts we learn in Maths and then using our Computation Thinking to interpret, process and visual that data. Some keys terms used that will also be included in my definitions page are:

data collection properties, sources and collection of data

data representation symbolism and separation

data interpretation patterns and contexts

So in the first video we look at what data is and why it is important. In this module we are looking at how Computation Thinking can put together an automated process to solving a problem.

1.       Analysing the problem

2.       Working out what information is needed (DATA)

3.       Sequence of steps used to describe finding the solution to the problem (ALGORITHM)

A very easy to follow example is shown with a pile of blocks that need to be sorted by colour (problem). The data we need is the colour of the blocks. Sequence of steps; picking up the block, identifying it’s colour and placing them in the correct groups. Showing this simple task emphasises that we use algorithms all the time but we don’t think through the exact sequence of steps needed.

Other simple algorithms we do usually break down to smaller sequenced steps are; tying shoelaces, tying a tie, etc. With a computer we need to think through our steps and be detailed.

DATA is everywhere. Other data we had in the block activity was size and shape as well as the colour. But we didn’t need that data. Part of the problems is identifying exactly what data you need and ignoring what you don’t.