skip to Main Content

What does computational thinking mean in the digital technology curriculum?

Victoria Macann

Victoria Macann is a Ministry of Education accredited PLD facilitator who specialises in the Digital Technologies & Hangarau Matihiko Curriculum, digital fluency and science. She is also an Apple Professional Learning Specialist.

What Does Computational Thinking Mean In The Digital Technology Curriculum?

What does Computational Thinking mean in the Digital Technology Curriculum? (4 Best Practices in Teaching Students How To Problem Solve)

Are you stuck on how to begin understanding Computational Thinking as a new key competency in the technology curriculum? Are you wondering how to implement it (CT) into your school-wide learning areas?

Learn what #computationalthinking is in the new #digitaltechnologycurriculum #edchatnz @victoriamacann

The Relationship between Strengths and Engagement…

The Digital Technology Curriculum/Hangarau Matihiko describes Computational Thinking skills that enable students to express problems, and formulate solutions in a way that means a computer (an information processing agent) can be used to solve them. Personally, I liken it to teaching students how to problem-solve.

Breaking down Computational Thinking:
There are four aspects to Computational Thinking. These four parts are important to keep in mind when designing activities for students to complete.

1. Decomposition – breaking down the problem into smaller, more manageable parts;

Decomposition

2. Abstraction – focusing on the important information only, ignoring irrelevant details;

Abstraction

3. Logic/pattern recognition – looking for similarities within problems; and

Logic Pattern Recognition

4. Algorithmic thinking (algorithms) -– developing a step-by-step solution to the problem.

Algorithmic Thinking

Let me give an example of how we use Computational Thinking in everyday life.

Imagine you are driving a long distance and your tyre blows out. You pull over and begin thinking about how to solve this problem.

  1. We use decomposition by breaking down the problem of the tyre being flat into separate, smaller problems to solve one-by-one. How is this issue going to be solved? You think about how you need your car jack, a spare tyre, and a socket wrench to loosen the lug nuts.
  2. We use abstraction to focus on the immediate problem and ignore the other issues (you might be worried about being late, or wonder if you have enough petrol to get to your destination).
  3. We now use logic (or pattern recognition) to think of times when this may have a) already happened previously, or b) how you compare this situation to another one; focusing on the similarities and differences.
  4. The algorithm part of the problem is solving it: step-by-step. In this case, it is changing the tyre in the correct manner.

With Computational Thinking ingrained in the education system from year one onwards, students become aware of what is possible with computing in order to make informed decisions as digital world citizens (Ministry of Education, 2017). We need to prepare our students for a fast-moving digital world where they have the confidence and skills to not only use digital technologies, but to design and create digital systems.

Facebook Comments

Back To Top