BBC What is computational thinking?
Computers can be used to help us solve problems. However, before a problem can be tackled, the problem itself and the ways in which it could be solved need to be understood.
Computational thinking allows us to do this.
Computational thinking allows us to take a complex problem, understand what the problem is and develop possible solutions. We can then present these solutions in a way that a computer, a human, or both, can understand.
The four cornerstones of computational thinking
There are four key techniques (cornerstones) to computational thinking:
- decomposition – breaking down a complex problem or system into smaller, more manageable parts
- pattern recognition – looking for similarities among and within problems
- abstraction – focusing on the important information only, ignoring irrelevant detail
- algorithms – developing a step-by-step solution to the problem, or the rules to follow to solve the problem
Each cornerstone is as important as the others. They are like legs on a table – if one leg is missing, the table will probably collapse. Correctly applying all four techniques will help when programming a computer.
Source BBC
10 Reasons to Teach Coding – Sylvia Duckworth
- Coding allows students to create content, not just consume it.
- Coding empowers students and give them tools to express themselves in really cool ways.
- Coding teaches storytelling with games and animations.
- Coding is a place for students to take risks and fail safely.
- Coding is inclusive and builds self-confidence
- Coding supports many principles of mathematics
- Coding teaches problem solving and critical/analytical thinking skills
- Coding is a new type of literacy and will be a large part of future jobs.
- Coding develops teamwork and collaborative skills
- Coding can help humanity
Bonus: Coding gives you superpowers!
BBC Test on Computational Thinking
How much do you know about Computational Thinking? Follow the link to take the test at BBC site
BBC Computational thinking in practice
A complex problem is one that, at first glance, we don’t know how to solve easily.
Computational thinking involves taking that complex problem and breaking it down into a series of small, more manageable problems (decomposition). Each of these smaller problems can then be looked at individually, considering how similar problems have been solved previously (pattern recognition) and focusing only on the important details, while ignoring irrelevant information (abstraction). Next, simple steps or rules to solve each of the smaller problems can be designed (algorithms).
Finally, these simple steps or rules are used to program a computer to help solve the complex problem in the best way.
Source BBC
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