Computational Thinking lies at the heart of the National Curriculum for Computing.  Here, I look at what Computational Thinking means and how teachers can help pupils develop effective problem solving skills that can be applied in all areas of life.

Computational Thinking is about transforming a seemingly complex problem into a simple one that we know how to solve.  It involves taking a problem and breaking it down into a series of smaller, more manageable parts (decomposition). Each part can then be looked at individually, considering similarities between and within other problems (pattern recognition), and focusing only on the important details whilst ignoring irrelevant information (abstraction). Next, looking for solutions to other problems and adapting them to solve new problems (generalisation).  Then, simple steps or rules to solve each of the smaller problems can be designed (algorithms).  Once we have a working solution, we then use (evaluation) to analyse it and ask – Is it any good ? Can it be improved? How?

Teaching computational thinking is not teaching children how to think like a computer.  Computers cannot think.  Computers are stupid.  Everything computers do, people make happen.  It’s also not teaching children how to compute.  It’s developing the knowledge, skills and understanding of how people solve problems.  As such, it absolutely should not be confined to computing lessons and should be used throughout the curriculum to approach and solve problems and communicate and collaborate with others.

iCompute’s computational thinking puzzles for primary pupils are a ground-breaking new development in primary education. In the digital age, the benefits of computational thinking throughout education are increasingly being highlighted. Our, colourful, engaging and challenging puzzles are designed for children aged 7-11 to independently practise and develop the fundamental computational thinking skills that lie at the heart of the National Curriculum for Computing.  The puzzles help develop skills of decomposition, abstraction, generalisation and designing algorithms. This means children can find solutions and apply those already found to different problems, in different contexts. All of this helps lay the foundations for them to become effective problem solvers.