The Four Pillars of Computational Thinking
Computational thinking isn’t just for coding; it’s a problem-solving toolkit.
- Decomposition: Breaking a big problem into smaller, manageable chunks
(e.g., to build a house, you first need a foundation, then walls, then a roof). - Pattern Recognition: Looking for similarities or trends
(e.g., noticing that every level in a game starts with a tutorial). - Abstraction: Focusing only on the important details and ignoring the fluff
(e.g., a map of the Perth train line doesn’t show every tree, just the stations). - Algorithmic Thinking: Creating a step-by-step “recipe” to solve the problem.
Decomposition
Decomposition: Breaking a big problem into smaller, manageable chunks
By tackling one small piece at a time, complex tasks become much less overwhelming and easier to solve.
For example, when designing a video game, you don’t build the whole thing at once; you focus on the movement, then the scoring, then the graphics separately.
Pattern Recognition
Pattern Recognition: Looking for similarities or trends
Finding patterns helps us make predictions and use shortcuts based on what has worked in the past.
If you notice that every boss battle in a game follows a specific rhythm, you can use that information to develop a winning strategy more quickly.
Abstraction
Abstraction: Focusing only on the important details and ignoring the fluff
This involves stripping away the information that doesn’t help solve the specific problem at hand to reduce complexity.
Just as a baker only cares about the weight of the flour rather than the color of the bag it came in, digital systems only process the data essential to the task.
Algorithmic Thinking
Algorithmic Thinking: Creating a step-by-step “recipe” to solve the problem
This is the process of developing a precise set of instructions that anyone—or any computer—can follow to achieve the same result every time.
A well-designed algorithm ensures that even the most complex processes are executed consistently and without errors.
“Check for Understanding” quiz
Question One
Which pillar of computational thinking involves breaking a complex problem down into smaller, more manageable parts?
A: Abstraction
B: Decomposition
C: Algorithmic Thinking
D: Pattern Recognition
Hint
Think about what happens to a Lego set when you follow the different bags of bricks one by one.
Question Two
A student is designing a map for a bus route. They decide to remove the locations of all individual trees and houses to make the route easier to read. Which pillar are they using?
A: Decomposition
B:Abstraction
C: Algorithmic Thinking
D: Pattern Recognition
Hint
They are ignoring the ‘fluff’ to focus on the essential information.
Question Three
When you notice that most levels in a platformer game involve a ‘jump’ mechanic and an ‘enemy’ encounter, which pillar are you applying?
A: Algorithmic Thinking
B:Abstraction
C: Pattern Recognition
D: Decomposition
Hint
You are looking for things that repeat or stay the same across different scenarios.
Question Four
Writing a recipe for a cake that someone else can follow exactly is an example of:
A: Algorithmic Thinking
B:Pattern Recognition
C: Abstraction
D: Decomposition
Hint
It’s like a ‘recipe’ for a computer.
Question Five
In the ‘Sandwich Robot’ activity, if the robot puts the whole jar of jam on the bread because you didn’t say ‘open the lid,’ which part of computational thinking needs improvement?
A: Abstraction
B:Pattern Recognition
C:Algorithmic Thinking
D: Decomposition
Hint
Computers are very literal and need highly specific, logical sequences.