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Artificial intelligence in education: new opportunities for the learning process
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Artificial intelligence in education: new opportunities for the learning process

Artificial intelligence in education is no longer science fiction, and it is definitely not just a fad designed to attract attention. It really works. And not just in theory, but right there in schools, universities, and EdTech platforms, which you have probably seen advertised (or even used).

Artificial intelligence in education: new opportunities for the learning process

What used to take teachers hours, such as checking assignments, tracking progress, selecting tasks, etc., now takes seconds. Instead of a boring list of topics, students receive adaptive courses that are truly tailored to their level and pace.

At KISS Software, we work with educational projects and understand perfectly well where AI is a truly useful tool and where it is just a nice-sounding buzzword in a presentation. In this article, together with our leading expert Yevhen Kasyanenko, we will talk about how AI is already changing education, what it can do right now, and why it is worth getting involved if you are building a product in this field or simply following the future of education.

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How AI is transforming education

Education has long been in need of an upgrade. One teacher for thirty students, one textbook for everyone, one teaching method — regardless of whether the student is visual, auditory, or a genius who is simply bored. And this is where AI comes in, striving to offer each person their own approach to acquiring knowledge. It can adapt the material to the pace and level of a particular student, supplementing classes at school, college, or university.

“Teachers themselves benefit from the introduction of AI, because neural networks take on routine tasks: automatic checking of assignments, sending notifications, compiling mailings and reports. This frees up time for more important work with students,” notes Yevhen Kasyanenko.

 

Personalization of the learning process

Algorithms see everything: where the student is stuck, where they make mistakes, which topics they find easy. The system adapts and provides more practice where there are gaps, or, conversely, speeds up if everything is clear.

This not only saves time, but also radically changes motivation. Studying no longer feels like a marathon at someone else’s pace. Everyone goes at their own speed and does not feel “left behind” or “too smart compared to their peers.”

It is also a really useful tool for teachers. They receive analytics on each student and can intervene precisely when it is really necessary, without spending hours on monotonous checks.

The use of artificial intelligence in educational platforms

Here are some clear examples of the use of artificial intelligence in education on modern platforms:

  • The most obvious example where AI is already at work is Duolingo. When you learn a language, the app doesn’t just throw random exercises at you. It analyzes your mistakes and strengths and, depending on your behavior, suggests the next step. That’s why you don’t get stuck or tired. You’re interested because everything is at your level.
  • Coursera goes even further, with AI helping you not just to take the course, but to complete it, offering hints, adjusting topics, and even recommending related programs.
  • Khan Academy uses similar technology to Coursera for schoolchildren: algorithms not only build the program, but also explain complex topics if students get stuck somewhere.

“Artificial intelligence is no longer an experiment, but a real participant in the learning process. It does not replace teachers, but makes learning more flexible, understandable, and accessible—both for adults and schoolchildren,”emphasizes Yevhen Kasyanenko.

Global statistics: growth of the AI market in education

The market for AI in education is growing not only because technology is advancing, but also because schools, platforms, and teachers have very specific tasks: to test, configure, adjust, and assist. AI can do this, and the numbers confirm it:

  • In 2023, according to MarketsandMarkets, the entire market for AI solutions for EdTech was already valued at $4.1 billion, and by 2032, if the current trend continues, it could grow more than sevenfold to $30+ billion.
  • In the US, many EdTech companies have already implemented AI: from smart tests to personalized courses. HolonIQ says this is just the beginning.
  • In Europe and Asia, universities are betting on automatic knowledge testing and generative models — so they don’t have to spend hours on routine tasks and can update content faster.
  • In India and Southeast Asia, the main growth is coming from online courses: mass platforms are actively using AI to keep students on track and complete the course.

And yes, with the growth of technology comes a new need—for those who know how to use it. So the growth of AI in education is also an impetus for the retraining and development of teachers themselves.

 

Examples of the use of artificial intelligence in education

Let’s look at more specific solutions for the application of artificial intelligence in education that are already being actively implemented or are planned for integration in the near future.

Virtual tutors and mentors

The main individual need for any student is quick feedback on a topic of interest. AI assistants such as ChatGPT and Google Socratic can provide such virtual round-the-clock support. Each of these developments has algorithms that quickly adapt to the level of knowledge, so they can be accessed in a comfortable mode.

Automation of routine tasks

Working with AI frees teachers from monotonous duties. Teachers can focus on more important and fundamental tasks, while the program performs technical and routine functions. This significantly saves time and resources, simplifying and optimizing work.

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Immersive learning: VR and AR

Virtual reality systems open up opportunities for the educational process. That is, it is possible to create a digital world in which students do not entertain themselves, but learn, discover the laws of nature and physics, and conduct laboratory research. With this approach, it will become much easier to study complex processes.

The advantage of simulation is that experiments can be conducted without the risks and costs of real equipment. The program is already configured for various indicators and can accurately produce research results. For example, medical universities are already using VR courses with primary practice. The interactive presentation allows students to immerse themselves in an environment where important decisions must be made, and the system tracks student performance according to a set code.

 

The future of AI in education: prospects and challenges

“Along with revolutionary solutions in the development of artificial intelligence for education, there are also challenges. We cannot assume that the development will be completely perfect. After all, issues of ethics, confidentiality, skill development, and identifying problem areas in education remain open for most people,” our expert emphasizes the seriousness of the technology.

Next, we will examine the key challenges in implementing artificial intelligence in education.

Main problems

  1. Confidentiality. Due to the large amount of information that passes through AI systems, there is a great need for precautions. To prevent data leaks, it is important to implement strict cybersecurity measures.
  2. Errors. AI learns from databases that may contain errors. Therefore, algorithms can sometimes produce incorrect statements or inaccurate results in their responses.
  3. Competence. Interacting with AI requires training, so it is important to introduce general education courses for teachers and students.

The role of AI in developing the skills of the future

In addition to basic skills and technical knowledge, AI and neural networks can also help develop soft skills and critical thinking. Chatbots, AI assistants, and simulations have many functions that allow you to practice:

  • communication;
  • teamwork;
  • personnel management;
  • time management.

This approach contributes to better and more universal training of future specialists in the labor market. It can optimize the process, but only after the problems described above have been solved.

Why it is important to work with professionals when implementing AI in educational projects

Given all the challenges that AI poses for educational institutions, the main risk is the incorrect integration of the system and its development. Incorrect algorithm configuration, lack of critical expertise, and insufficient data protection can exacerbate the negative consequences for learning.

It is important to avoid all risks and use the services of professionals who can help:

  1. Adapt algorithms based on accurate forecasts and personal analysis.
  2. Install protective blocks and rapid response systems in case of malicious attacks.
  3. Create effective and flexible AI settings for individual training programs.
  4. Improve employee competence before integration.
  5. Create high-quality technical support.
  6. Conduct timely automatic program updates.

The KISS team helps institutions use AI effectively without incurring significant costs and with maximum results for all parties involved in the educational process.

Conclusion

Artificial intelligence is a powerful tool that can revolutionize teaching methods and take them to a new level. Accessibility, flexibility, and a broad information base make neural networks an effective assistant for teachers.

Therefore, artificial intelligence in education will not only improve the learning process itself, but also allow for the training of highly qualified specialists in various fields.

If you want to implement AI tools into your educational platform or learning process, submit your request right now. The KISS Software team will select a solution tailored to your goals, show you how to reduce costs, improve engagement, and build an education system that works not by template, but by intelligence.

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