The Role of the Teacher in the Age of AI

The adoption of AI tools in education does not take place in a vacuum. It is a process conditioned by the applicable law, available funds and directions of development set by the Ministry of National Education. Understanding this framework is crucial for any principal and teacher planning to consciously implement new technologies.

Education law and new technologies: challenges and responsibilities

The introduction of AI tools in schools and kindergartens has specific legal implications. In 2025, teachers and principals must pay special attention to:

• Personal Data Protection (GDPR): The use of AI platforms often involves the processing of student data. The facility is obliged to verify whether the provider of the tool meets European privacy standards. It is crucial to include appropriate provisions in statutes and regulations and to obtain informed consent from parents.
• Copyright: AI-generated content (texts, graphics) has an unregulated legal status. The teacher must teach young people to use these tools responsibly, pointing out the need for fact-checking and the risk of plagiarism. At the same time, he must be a role model himself, creating educational materials in accordance with the law.
• Responsibility for content: AI tools can generate false or inappropriate information. The responsibility for the substantive verification of the materials presented in the lesson still lies with the teacher.

Financing and accessibility barriers: how to overcome digital exclusion?

Despite government programs such as “Laboratories of the Future”, the economic reality of many facilities is difficult. Access to paid, advanced AI tools remains limited. In this context , the role of the teacher and the headteacher becomes strategic planning:

1. Asset audit: Identifying which of the free and safe AI tools can realistically support the teaching process.
2. Training and competence development: The biggest investment is not equipment, but knowledge. The priority should be to finance training for teaching staff, which can be implemented within the framework of funds for professional development.
3. Grant projects: Actively seeking external sources of funding (EU grants, ministerial grants, corporate foundations) for innovative educational projects using AI is becoming a necessity.

Teacher – mentor, curator, guide

The question about the future of the teaching profession is not about its existence, but about the evolution of its functions. AI relieves the educator of being the only source of knowledge, opening up space for roles in which humans are and will remain irreplaceable.

Building relationships in the world of machines

In an era when knowledge can be gained in a fraction of a second, the most valuable thing a teacher can offer a student is support in personal and social development. The teacher’s mission is shifting towards building soft skills:

• Development of emotional intelligence: Recognizing and naming emotions, building empathy, resolving conflicts.
• Fostering intrinsic motivation: Help in discovering passions, setting goals and building perseverance.
• Individual approach: AI can help diagnose knowledge gaps, but it is the teacher as a mentor who is able to understand the causes of the student’s problems – whether they result from learning difficulties or personal problems.

The teacher as a content curator and knowledge architect

Instead of conveying ready-made facts, the teacher becomes a guide through the vast and often chaotic world of information. Its task is to teach students how to navigate this world independently and critically.

• Teaching Critical Thinking: Analyzing sources, distinguishing fact from opinion, recognizing disinformation and manipulation.
• Designing educational paths: The teacher, using AI tools, can create personalized and interdisciplinary projects in which the student learns on their own.
• Contextualization of knowledge: AI can provide data, but it is the teacher who embeds it in a cultural, historical, and social context, giving it meaning and meaning.

Teacher’s authority in the digital world?

The traditional model of authority, based on being an “all-knowing expert”, fell into ruins when search engines appeared, and AI dealt the final blow. Modern teacher authority and technology are not mutually exclusive, but this authority must be built on new foundations.

• Competency-based authority: Not on having all the knowledge, but on the ability to acquire, verify and use it. A teacher who admits “I don’t know, but let’s check it out together” models an attitude of continuous learning and gains the respect of students.
• Authority based on ethics and values: In a world where AI can generate any content, those who have a strong moral compass become guides. A teacher as a guardian of humanistic values is irreplaceable.
• Authority based on passion and commitment: Technology has no passion. A teacher who is able to infect students with love for his subject and curiosity about the world builds an authority that no machine can compete with.

Answers to the most difficult questions about the future of the teaching profession

1. Will AI make my profession disappear?
Absolutely not. AI will automate repetitive tasks (checking single-choice tests, generating simple exercises), but it will free up time for what is most important: individual work with the student, building relationships, developing creativity and critical thinking. The role of the teacher is evolving, but it is becoming even more crucial.

2. How can I learn all this without having the time and resources for expensive training?
Start small. Choose one free AI tool (e.g. to generate images for art class or create quizzes). Create a self-learning team at school, where teachers will share their findings. Enjoy free webinars and online resources. Remember – the key is an attitude of openness, not mastery of dozens of programs.

3. How to teach AI ethics and fight plagiarism created by artificial intelligence?
By changing the way work is assigned and graded. Instead of reconstructive works (“Write an essay about the Romantic era”), assign tasks that require personal analysis, argumentation and creativity (“Compare Konrad’s attitude with the attitude of the hero of your favorite film, justifying your position”). Introduce a mandatory public defense element where the student must answer questions about their text. Teach about accountability and promote a culture of academic integrity.

Pedagogy of the AI Era

In the discourse on artificial intelligence in education, the slogan “personalized learning” is often used. Indeed, AI systems can adjust the pace and difficulty of the material to each student’s progress, creating an individual path for them. However, this is only a technical customization. The role of the teacher in the age of AI is to transform this mechanical adaptation into a deeply humanistic individualization. AI provides data about a student’s knowledge gaps, but it is unable to understand their cause. The teacher, observing the student, talking to him and analyzing his extracurricular context, is the only person who can diagnose whether the problem with logarithms results from a lack of understanding of the exponentiation, or perhaps from chronic sleep deprivation or a difficult situation at home.

In this pedagogical model, the teacher’s work is no longer about giving a uniform lecture to the whole class. Instead, the classroom becomes a dynamic workshop, where the teacher acts as a consultant circulating between students or groups working at their own pace. Its task is to intervene at key moments, inspire deeper questions, and connect the synthetic knowledge provided by AI with the real world. The teacher thus becomes a bridge between algorithmic precision and human experience, making sure that personalization does not lead to isolation and that cognitive development goes hand in hand with social and emotional development.

The teacher as an ethicist and translator of educational data

The discussion about AI at school cannot ignore one of the biggest crises of Polish education – the alarming level of professional burnout among teachers. Overload with bureaucracy, pressure on results and lack of time for real work with the student are the main causes of this phenomenon. Paradoxically, intelligent automation can become a powerful ally in the fight for the mental well-being of educators. What is important in the work of a teacher is contact with other people, not filling in tables and generating reports.

AI can take over much of the administrative burden that currently consumes teachers’ energy. It can automatically check closed tasks, prepare attendance reports, analyze class progress and generate preliminary versions of result plans or reports. Such relief is not intended to increase control, but to regain time and mental space for what a person is best at: creative lesson planning, conducting in-depth conversations with students, building a positive atmosphere in the classroom or cooperation with parents. A conscious and purposeful implementation of AI to reduce bureaucratic burdens, and not just intensify didactics, is a strategic direction that can have a real impact on improving working conditions and raising the prestige of the profession.

New requirements for the system: A revolution in education

The transformation of the teacher’s role cannot be his or her sole effort. It must be followed by a profound reform of the education and training system. Pedagogical study programs, often still rooted in twentieth-century paradigms, must be fundamentally rebuilt. A future teacher should be equipped not only with substantive and methodological knowledge, but above all with the competences of the future: cognitive flexibility, the ability to facilitate group processes, digital competences in the critical use of AI and the aforementioned data literacy.

Equally important is the change in the approach to the professional development of teachers already in employment. Instead of one-off, often impractical training, it is necessary to create systemic support in the form of constant mentoring, a collaborative network and space for experimentation. Teacher training institutions and academic centres should become centres of innovation, where educators can test new tools in a safe environment and learn from each other. Investing in human capital and creating systemic conditions for adaptation is a prerequisite for the teacher’s mission in the era of AI to be successfully implemented on a nationwide scale, and not just in single, elite schools.