Maximizing AI's benefits in education and addressing its drawbacks

In recent years, there was talk of a change that would redefine learning and teaching. Now, after this year’s much-talked-about letter, it is time to take stock and ask: what has changed? Has the revolution already happened or are we merely experiencing a silent evolution?

In this article, we will try to understand how the real pros and cons of AI in education affect the teaching and learning processes. Aristek experts will also share helpful field-tested recommendations that will help you get the best out of the technology.

Artificial intelligence is no longer a thing of the future. It is made possible by large amounts of data and their evaluation at various levels. The AI impact on education is based on information that humans have fed into it themselves. In this way, it ultimately projects the current level of knowledge of a society.

Numbers speak for themselves. The global AI in education market is projected to reach approximately USD 9-11 billion in 2026, and is expected to grow rapidly to over USD 30-40 billion by 2030.

With the help of AI, correlations can be identified, analyses can be carried out, and everyday processes can be automated through the evaluation of large volumes of data.

Experts describe the benefits of AI for three levels within everyday school life.

Some of the most popular applications of AI in teaching include:

1. Automatic rating systems. AI systems can automatically grade essays, tests, or homework and provide feedback. This enables faster feedback and more personalized learning support.
2. Personalized learning approach. AI tools can track student progress and provide tailored content and activities, allowing students to learn at their own pace and work on their weaknesses.
3. Image recognition and speech processing. AI can use image recognition technologies and natural language processing to help students learn. For example, virtual assistants can answer questions, provide learning materials, or help practice language skills.
4. Adaptive learning programs. AI-driven learning programs can adapt to students’ individual needs and provide them with tailored learning materials and exercises. This promotes an individualized learning environment and optimizes the learning process.Adaptive learning involves many aspects, such as policy-making, curriculum formulation, teacher training, and more. AI saves a lot of resources in each of these – read our special feature on how it works.

To learn more about AI in education, dive into our complete guide: all about tools, operating principles, and more.

1. Personalized learning

One of the most important advantages of AI is the possibility of personalized learning. With AI tools designed specifically for this purpose, each student can have a customized learning experience that suits their pace and style.

2. Feedback on the spot

In addition to personalization, immediate feedback is another benefit of AI.

Why is it that worth attention? Recent research provides strong evidence for its effectiveness.

Why is it worth attention? Recent research provides strong evidence for its effectiveness. A meta-analysis on AI-supported feedback found a moderate positive effect on learning outcomes (g ≈ 0.58), indicating that students who receive AI-generated feedback perform significantly better than those who do not. By delivering feedback instantly, AI enables learners to identify and correct mistakes in real time, preventing the reinforcement of misconceptions and supporting continuous improvement.

AI tools equipped with machine learning capabilities can instantly assess students’ work and provide immediate constructive feedback. This not only saves teachers valuable time but also allows students to quickly learn from their mistakes.

3. Better accessibility

We’ve discussed the importance of WCAG compliance and its levels – check it out for insights on ensuring web accessibility and how implementing AI technologies helps schools meet all needed requirements.

Despite all the benefits that artificial intelligence can offer the education system, it is a new technology that should be approached with a certain degree of caution. Eventually, AI does not always provide reliable results. Mistakes and misinformation, especially on technical topics, are common, making it essential to carefully review all AI-generated responses.

Let’s look at the other side of the coin and review the most discussed cons of AI.

• Cost of using AI in schools. A major disadvantage of AI in education is the cost factor. Implementing AI-based learning platforms and tools often requires a significant investment, which can be a hurdle for many schools. This can result in schools with limited budgets and resources being excluded from these technologies.In addition, it can widen existing educational inequalities. A recent study on AI in education notes that differences in technological infrastructure and funding “exacerbate existing educational inequalities” between institutions and countries.
• Potential dependence on technology. If students rely too heavily on AI-based learning methods, they might neglect their skills. For example, they may struggle to learn basic skills like reading, writing, and arithmetic if they rely too heavily on technology. Students must learn both digital and analog skills to thrive in today’s society.
• Privacy issues. AI often requires the collection and storage of student data, so it is important to ensure that this data is stored and protected securely to ensure student privacy.Research highlights concerns about data security, unauthorized access, and potential misuse of sensitive information. These risks underline the importance of robust data protection frameworks and ethical governance when implementing AI in education.

In the field of education, technology should always be introduced to create a clear and measurable quality gain for the education and training of students. To integrate AI into the education system in a future-proof manner, an AI strategy is therefore required that is aligned with the educational goals.

Aristek experts shared the following recommendations for implementing AI tools in education:

1. Establish and adhere to a comprehensive AI strategy. Align AI integration with educational goals to enhance teaching and learning quality, addressing targeted challenges.
2. Implement strategic training for teachers to effectively and independently use AI, ensuring pedagogical value in their teaching practices.
3. Equip students with AI skills through interdisciplinary learning, preparing them for the modern workforce.
4. Consider data security, testing formats, and age restrictions in a strategic framework for safe and fair AI use.
5. Define AI’s role in education with clear, regulated boundaries for ethical and safe implementation, following models like the EU AI Regulation.

Current challenges – such as teacher shortages (including low inflows of young teachers) and gaps in how students and teachers perceive AI – can be mitigated through the transparent and responsible use of AI. However, the aim of such an AI strategy should always be to improve learning and teaching.

This requires a central, cross-border control level that defines processes and responsibilities precisely. At present, a considerable amount of responsibility rests on individual schools, which is too great a challenge given the complexity and novelty of the topic.

In addition, introducing AI into education without expert guidance often leads to fragmented tools, unclear usage, and limited impact on learning outcomes.

Targeted support from experienced technology partners helps translate strategy into practical implementation. This allows systems to integrate correctly and stay aligned with real classroom needs.

For educators, well-structured tech assistance allows them to:

• Reduces implementation risks by selecting the right tools and integration approach from the start
• Aligns technology decisions with pedagogical goals, not only technical capabilities
• Accelerates adoption by providing structured rollout, training, and ongoing support

AI systems need data. Safe and transparent handling of this data is essential. Transparency means that everyone involved knows what data is being collected, for what purpose it is being used, and who has access to it.

In addition to a basic digital infrastructure that makes the use of AI possible in the first place, AI tools for teaching must also be adapted to the educational context and be GDPR or WCAG-compliant.

Teachers should discuss the use of AI in detail with students and make expectations explicit from the start. Clear guidance establishes how AI supports learning instead of replacing effort.

AI should be positioned as a support tool, similar to a calculator, not as a shortcut that replaces thinking. If a student says, “the AI wrote my essay,” a useful response is, “then explain what was learned from it.”

Practical use cases should be demonstrated during lessons. AI can explain concepts, generate practice questions, or provide feedback on drafts. At the same time, boundaries need to be defined.

Schools can specify when AI is allowed and when independent work is required. For example, AI may be permitted for brainstorming but restricted during assessments. The comparison with calculators in math exams remains helpful. Appropriate in some contexts – but questionable in others.

School administrators and teachers should approach AI adoption as a structured process. This involves adapting parts of the learning experience, not simply adding another tool. Recent OECD and UNESCO guidance identifies teacher training as a key factor for successful implementation.

When teachers feel confident using AI, classroom adoption becomes more consistent and effective. When understanding is limited, usage tends to become fragmented and harder to manage.

To support this process, several actions are recommended:

• Critically examine AI use within the school. Identify where it improves learning and where it introduces risk. Pilot programs can help test impact before wider adoption.
• Organize training that includes real classroom scenarios. Teachers benefit more from hands-on experience than from theoretical instruction.
• Communicate openly with students about how AI systems work, including limitations such as hallucinations and bias. Even advanced systems produce incorrect outputs at times.
• Establish clear and simple usage guidelines for assignments, homework, and exams. These should be visible and consistently applied.
• Involve parents early in the process. Providing concrete examples helps align expectations between school and home environments.
• Regularly review AI-generated outputs in class. Encouraging critical evaluation supports deeper understanding and reduces blind reliance.
• Monitor system performance and data handling practices. Compliance with frameworks such as GDPR requires transparency about how student data is processed and stored.

Feedback loops should also be integrated into the implementation. Collecting input from teachers and students each term allows for continuous adjustment. Schools that iterate on AI integration report higher adoption rates and fewer issues related to misuse.

As one teacher noted, “The tool did not change the class. The rules did.”

Incorporating modern artificial intelligence technologies into the curriculum is necessary, but it’s also important to recognize the limitations of these technologies, which cannot convey emotion or humanity in their results.

A structured and transparent approach improves acceptance and learning outcomes. Clear expectations reduce misuse, and consistent communication supports responsible adoption. Additionally, ethical issues related to privacy and accuracy need to be addressed.

Aristek experts have observed in practice that, without proper training, AI can rely on outdated information. On the other hand, with the right implementation by an experienced tech provider, the use of AI can be transparent, protect intellectual property rights, and advance science and knowledge.