Are kids learning to code using AI only? This is an important thing that is often missed

Parents, do you know? Today we hear more and more often that coding is no longer as difficult as it used to be. In fact, there’s a new, widely held view that kids don’t really need to learn to code because there’s already AI that can do it. Just give simple instructions and in seconds the program is ready. At first glance, this seems like a practical solution. But if we think about it more deeply, the important question arises: are children actually learning or just using technology?

There is a trend that is currently the subject of a lot of debate in the developer community, namely ambiance coding. The concept is simple, you give instructions to the AI ​​in everyday language, the AI ​​writes the code, you simply check the results. Senior developers love it because it speeds up repetitive work. But they can also use AI Because they already have a solid 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 any foundation, have none of this. The result? They can copy and paste code that works, but they don’t know Why this works and doesn’t know what to do when the code is broken.

Many people are starting to believe that you only need to learn to code to simply use AI. But if we take a closer look, this approach is actually not enough, especially for children. AI can generate code quickly, but it doesn’t teach you how to think about it. In fact, when kids learn to code, they practice a variety of important skills that will serve them well throughout their lives. Some of these abilities include:

• think logically when organizing the steps

• solve problems systematically

• to understand cause and effect relationships

• analyze errors and correct them

• transform 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 children is not about pursuing a future profession or becoming a programmer. Coding is a way to learn to think. When children create simple games in Scratch, for example, they practice several things at once.

• First of all, logical sequence. Instructions should be given in the correct order and not randomly.

• Second, causes and effects. If condition A is met, B occurs, otherwise C occurs.

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

• Fourth, iteration. The first solution is rarely perfect from the start, 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 it to you the process. And it is this process that develops children’s thinking skills.

This is not to say that AI is bad for learning. The problem is when AI is used replace thought process, no support him.

Several concrete things happen when children are too dependent on AI from the start.

• Unable to read error. Error messages are the program’s way of telling you what’s wrong. Children accustomed to asking AI directly for help never learn to “read” these messages, even though it is a crucial skill that every programmer uses every day.

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

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

Amid the rapid development of AI, several skills are increasingly important for children. This skill cannot be replaced by technology, because it comes from a learning process and experience. Some of the main skills to develop are:

• Logical thinkingnamely the ability to think coherently and make meaning

• Troubleshootingnamely the ability to find a solution to a problem

• Analytical thinkingnamely the ability to analyze before making a decision

• Creativitynamely the ability to create new useful ideas

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

Instead of being used as a substitute, AI should be used as an aid to the learning process. With the right approach, AI can truly empower children.

Ideally, the learning process takes place in stages:

• kids first understand basic coding concepts

• children practice creating simple programs independently

• kids use AI to make exploration easier and speed up the process

This way, children always understand what they are doing, while using the technology optimally.

This question is often asked by parents. Is it enough for kids to just learn to code with AI, or do they still need guidance? The answer is that you still need help. AI cannot replace the role of a mentor to guide the learning process. Children always need guidance, explanations and structure to fully understand concepts. With the right support, children:

• more targeted study

• easier to understand the concept

• don’t give up easily when faced with difficulties

• develop consistently

Without it, the learning process can be ineffective.

For children to get the most out of learning to code, the approach used must be the right one. Here are some ways to do this:

• From basic concepts such as sequence, conditions and repetition

• Combine theory and practice through simple projects

• Propose challenges adapted to the child’s age and abilities

• Support the learning process with an experienced mentor

• Focus on the process, not just the end result

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

At Koding Next, kids don’t just learn to write code. They also learn to think like programmers. The programs available are specially designed for children aged 4 to 16, so the material is adapted to their stage of development. Here the children will:

• learn logic gradually

• develop problem-solving skills

• work on various real projects

• Benefit from advice from experienced mentors

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

Many believe 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 use this technology. Children who have a solid foundation in coding:

• easier to adapt to new technologies

• learn new things faster

• better prepared to face future changes

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

Instead of kids learning to code without instructions, it’s better to start from the beginning with a structured method and proper guidance. Koding Next is here to help kids learn to code while developing thinking skills that will benefit them throughout their lives. Come and try the free trial class now Next coding