Do Children Learn Coding Just Using AI? This is an important thing that is often missed

Parents, do you know? Now more and more often we hear people say that coding is no longer as difficult as it used to be. In fact, there is a new and quite popular opinion that children don’t really need to learn coding, because there is already AI that can do it. Just give simple instructions, and in a matter of seconds, the program is ready. At first glance this sounds like a practical solution. But if you think more deeply, the important question arises, are children really learning, or are they just using technology?

There is a trend that is currently being widely discussed in the developer community, namely vibration coding. The concept is simple, you give instructions to the AI ​​in everyday language, the AI ​​writes the code, you just check the results. Senior developers love it because it speeds up repetitive work. But they can use AI as well as that Because they already have a strong foundation. They know when the AI ​​code is wrong. They know how to fix it. They know what questions to ask. Kids who learn to code directly using AI, without a foundation, don’t have any of that. The result? They can copy-paste code that works, but don’t know Why it works and doesn’t know what to do when the code breaks.

Many people are starting to believe that learning to code is enough to just use AI. But if you look deeper, this approach is actually not enough, especially for children. AI can generate code quickly, but it doesn’t teach you how to think behind it. In fact, when children learn to code, they are practicing various important skills that will be useful throughout life. Some of these capabilities include:

• think logically in arranging the steps

• solve problems systematically

• understand causality

• analyze errors and correct them

• develop ideas into real solutions

Without this process, children will only get used to receiving results without understanding how to achieve them.

This is the part that is often misunderstood. Coding for kids is not about a future profession or becoming a programmer. Coding is a vehicle for training how to think. When children create simple games in Scratch, for example, they are practicing several things at once.

• First, logical sequence. Instructions must be given in the correct order, not haphazardly.

• Second, cause and effect. If condition A is met then B occurs, if not then C occurs.

• Third, debugging. Why isn’t my character moving? Where did the error lie?

• Fourth, iteration. The first solution is rarely perfect right away, we keep improving it until it works.

This process cannot be replaced by AI. AI can give you the answer, but it can’t give you the answer the process. And that process is what builds children’s thinking abilities.

That doesn’t mean AI is bad for learning. The problem is when AI is used replace thought process, no support it.

There are several concrete things that happen when children are too dependent on AI from the start.

• Cannot read error. Error messages are the program’s way of telling you what went wrong. Children who are used to directly asking AI for help never learn to “read” these messages, even though this is a crucial skill that every programmer uses every day.

• Have no mental picture of the system. When children build something themselves, they shape mental models about how the program works. This model allows them to later design more complex solutions. Children who only receive AI output do not build this model.

• Give up more quickly when independent. Children who are used to getting instant answers tend to get frustrated more quickly when they have to think for themselves, whether at school, on exams, or in situations where AI is not available.

In the midst of the rapid development of AI, there are several skills that are increasingly important for children to have. This skill cannot be replaced by technology, because it comes from a learning process and experience. Some of the main skills that need to be developed are:

• Logical thinkingnamely the ability to think coherently and make sense

• Solution to problemnamely the ability to find a solution to a problem

• Analytical thinkingnamely the ability to analyze before making a decision

• Creativitynamely the ability to create useful new ideas

AI can help speed up work, but it cannot build these capabilities without the active involvement of children.

Instead of being used as a substitute, AI should be used as an aid in the learning process. With the right approach, AI can actually strengthen children’s abilities.

Ideally, the learning process is carried out in stages:

• children understand the basic concepts of coding first

• children practice making simple programs independently

• children use AI to help exploration and speed up the process

In this way, children still understand what they are doing, while making optimal use of technology.

This question often arises among parents. Is it enough for children to just learn to code with AI, or do they still need guidance? The answer is that you still need assistance. AI cannot replace the role of a mentor in guiding the learning process. Children still need direction, explanation and structure so they can understand concepts well. With the right support, children will:

• study more focused

• easier to understand the concept

• don’t give up easily when facing difficulties

• develop consistently

Without it, the learning process can be ineffective.

In order for children to get maximum benefit from learning to code, the approach used must be the right one. Some ways that can be done include:

• Starting from basic concepts such as sequence, conditions, and repetition

• Combine theory with practice through simple projects

• Provide challenges appropriate to the child’s age and abilities

• Accompany the learning process with an experienced mentor

• Focus on the process, not just the end result

This approach helps children build a strong foundation while enjoying the learning process.

At Koding Next, children are not only taught how to write code. They also learn how to think like programmers. The available programs are specifically designed for children aged 4 to 16 years, so the material is adapted to their developmental stage. Here, children will:

• learn logic gradually

• develop problem solving abilities

• working on various real projects

• Get guidance from experienced mentors

This approach makes the learning process more focused, enjoyable and effective.

Many think that AI will replace the need to learn to code. In fact, the reality is quite the opposite. AI makes coding skills even more important, because people who understand coding will be better able to utilize this technology. Children who have a strong coding foundation will:

• easier to adapt to new technology

• learn new things faster

• better prepared to face future changes

Learning to code has indeed become easier with the help of AI. But this convenience should not make us miss the actual learning process. Because in the end, what is needed is not just the ability to use technology, but the ability to understand, develop and create something new.

Instead of children learning to code without direction, it is better to start with a structured method and proper guidance from the start. Koding Next is here to help children learn to code while building thinking skills that will be useful throughout life. Come try the free trial class now Next Coding