Table of Contents
What is Computational Thinking and Why is it Important?
The method of solving a problem step-by-step, logically, and analytically is known as computational thinking aka computational thinking for problem solving.
Computational thinking is important, as when kids practice computational thinking it enables them to deconstruct their own complex issues into more manageable chunks. This way they will be able to comprehend the problem more clearly and find a solution on their own.
What is the Difference Between a Computer and a Human?
In layman’s terms, computational thinking is the capacity of a person to think and fix problems similar to a computer. Thus, computational thinking is a common link between humans and computers.
How Computational Thinking Works?
Computational thinking involves a four-step process:
- Decomposition, wherein kids disassemble a complex problem into smaller, easier-to-manage components.
- Pattern Recognition, wherein they search for similarities between and within situations.
- Abstraction, wherein they concentrate solely on crucial details while dismissing unimportant ones.
- Algorithms wherein they create a step-by-step solution to a problem.
How does Computational Thinking Differ from Traditional Problem Solving Methods?
Computational thinking vs Problem-solving
Computational thinking is not only about solving a problem, but is about how to logically and analytically solve a problem step by step; whereas traditional problem solving methods solely focus on just solving the problem in whichever method possible.
What are the Benefits of Learning Computational Thinking for kids?
There are innumerable benefits of learning computational thinking for kids, let’s take a look at the top five of them.
1. Transform Kids into Problem Solvers
The four-step process of computational thinking involving- Decomposition, Pattern Recognition, Abstraction and Algorithms, when followed in a logical sequence help kids to become problem solvers.
2. Transform kids into Innovators
The process of abstraction challenges students to think critically about the most crucial components of what they are working with and to eliminate unimportant components. This gives them the ability to decide what to extract from a problem in order to develop a solution. They can then narrow their attention to the tools, resources, and abilities at their disposal to develop original, creative solutions and directions.
3. Open Doors for a lot of Opportunities
Computational thinking is a crucial ability and a competitive advantage for businesses like Google, Apple, and Microsoft, which actively recruit and train personnel in this area.
4. Transform kids into Creators
Algorithmic Design is a logical step in the computational thinking process that enables students to write computer programs in languages like Scratch and Python that enable machines and computers to perform tasks they were previously unable to; transforming them into creators.
5. Applicable to all fields
The ability of computational thinking can be used in any subject area, from elementary school to the workplace. One of the most commonly used computational thinking examples is cooking a recipe, let’s say baking a cake from scratch; where we logically follow all the sequence of steps, eliminate and improvise the recipe according to our own taste.
How to Implement Computational Thinking in Your Daily Life
You can see computational thinking examples in all walks of your life, some of the examples are listed below:
- Creating a desert according to a recipe is an example of an algorithm.
- While planning your budget, you identify your spending patterns for each category, pattern identification and deconstruction.
- When we play different instruments there is pattern recognition, that is the sound of a particular note may sound similar in all the instruments but the manner in which it is played is different.
- Understanding a topic in any subject, where you create mind mapping, graphs to understand the relation between the characters/variables.
- Employing an algorithm to determine the most efficient path between two locations while accounting for traffic and other considerations like construction or obstructions on the road.
The Future of Computational Thinking
92% of occupations in the future around the world would demand digital skills, according to ZDNet 2018 statistics. As a result, everyone needs to be proficient in Computational thinking for problem solving in order to solve difficult problems and fully participate in this more computational environment.
Most Frequently Asked Questions About computational thinking for problem-solving.
No, thinking is absolutely beyond the capacity of machines. The brain “runs” the mind, much like a computer runs a programme, because the mind is what the brain does.
In layman’s terms, computational thinking is the capacity of a person to think and fix problems similarly to a computer.
The four step process of computational thinking involves:
- Pattern Recognition
1. My First Coding Book
This is meant for kids under 7 years old, so older kids won’t be very excited about it.
2. Coding for Minecrafters: Unofficial Adventures for Kids Learning Computer Code
Kids ages 8-12 years old who love Minecraft and want to learn to code.
3. Coding for Kids: Scratch: Learn Coding Skills, Create 10 Fun Games, and Master Scratch
Kids ages 6 and up who want to learn and master Scratch.
Kids ages 9 and up who have some experience with coding and computers but want to learn more.
5. Coding Concepts for Kids: Learn to Code Without a Computer
Kids ages 5-7 years old who want to learn the basics of coding.