There is a common assumption among parents and many educators. Many believe that Teach Computational kids about programming starts with syntax, commands, and screens with unfamiliar symbols. The truth is that good programming skills are constructed around something much more basic: computational thinking.
Even before instructors show children how to write their first line of code, they should learn the skills to think like a programmer. But computational thinking is not about programming languages.
Kids won’t be sitting down to write code on the first day. Computational thinking involves learning how to solve problems, recognize patterns, find solutions, and understand how abstract concepts relate to practical results.
When kids learn these skills at an early age, formal programming seems much less daunting. For many, it will even feel natural.
Computational Thinking: What It Is and What It Isn’t
Computational thinking is a method of thinking logically and systematically when it comes to problem-solving. It involves several important skills:
- Decomposition: With decomposition, you take complex problems and break them into smaller, manageable segments.
- Pattern Recognition: The ability to identify similarities and repetitive sequences.
- Abstraction: Recognizing the more relevant issues to focus on while putting smaller issues to the side.
- Algorithmic Reasoning: Developing step-by-step guidelines for solving problems and completing processes.
Children already apply these skills in everyday life. They have routines, learn rules of games, and adapt strategies when they don’t get the right result. Computational thinking merely makes these processes more visible and deliberate through teaching.
Why Before Formal Programming
Plunging directly into code might overwhelm children. It’s a lot to learn. Things like syntax mistakes, new terms, and abstract rules can take a curious child and make them feel irritated and less interested.
By teaching them computational thinking first, you arm them with the skills they need to navigate these issues. That takes learning a programming language and turns it more into a translation of skills they already have, rather than a significant change in their way of thinking.
Children with computational thinking skills will ask less about what they should type as a command. Instead, they look more at the problem they are to solve and set out to overcome the challenge on their own. That’s a big difference.
Learning to Teach Logic Without Screens
Computational thinking does not involve a computer. Any number of good activities can achieve this without a device:
- Providing instructions on a simple task and observing the extent to which they require detail.
- Developing step-by-step instructions for daily activities.
- Organizing objects through rules that increasingly become more complicated.
- Playing logic and strategy games that require advanced planning and adaptation.
In these activities, accuracy, sequence, and cause and effect all come together without the child ever encountering the idea of programming.
Introduction to Abstract Concepts
Abstract concepts or things that do not physically exist, yet affect the results, are one of the difficulties of programming. A typical example is variables.
For children, this notion is simplified significantly with simple analogies: a box in which something can be kept, a label that can be changed, or a value that can be modified depending on actions.
Materials setting out background concepts in clear, familiar language are particularly useful at this point. For example, abstract concepts like variables presented by guides using common analogies become easier to understand. Thoughtful resources to learn how variables work in child-friendly lessons on coding languages can overcome the challenge of abstract thinking in learning. When the children develop these concepts at an early age, formal programming does not seem like a riddle.
Computational Thinking Constructs Transferable Skills
Computational thinking has much greater value than programming. Children with these skills are likely to:
- Solve problems with greater ease
- Take chances and persevere through challenges
- Provide clearer explanations of their thinking
- Use logic in subjects like math, science, and writing
Such abilities are transferred to school, social, and problem-solving in the future.
Introducing Children to Programming
Once they have computational thinking, the next stage is to introduce programming. Children already know sequences, conditions, and changing values. Code is nothing more than a further manifestation of using these skills in a practical setting.
Instead of memorizing rules, have them work on solutions. Let them reason out their errors instead of being afraid of making them. Such a base has a significant positive impact on confidence and longevity.
The Parent and Educator Advantage
Adults do not need a technical background to support computational thinking. Try some open-ended questions to get kids thinking:
- What is the first step?
- What will happen if we change this?
- Why not that?
These questions won’t lead kids directly into high-level programming. Instead, these types of questions help kids develop the mental tools they’ll need to build new skills and overcome challenges in the future.
Set the Base for Learning With Computational Thinking
Educating students in computational thinking, as opposed to starting with programming, is not a shortcut. However, it does set the stage for success when they do start learning to code.
A preliminary emphasis on logic, structure, and abstraction provides children with the foundation they need to manage the challenges they’ll face when learning about programming. It also gives them valuable life skills.