The AI Empower – AI-Empowered Educators Erasmus+ project has reached another important milestone: two comprehensive international professional studies have been completed, which lay the foundations for the project’s next stages of development and provide practical guidance on the use of artificial intelligence in education.

The common aim of these documents is to support teachers in using AI-based tools in a safe, ethical and pedagogically beneficial way – not as a technological fad, but as part of the long-term renewal of education.

International best practices in the field of AI and teacher training

The first study to be completed examines international best practices in the educational application of AI, specifically from the perspective of teacher training and the professional development of educators.

The research analyses experiences from 12 European countries and explores how education systems are responding to the rapid rise of generative artificial intelligence. One of the study’s key findings is that AI is not merely a new digital tool, but brings about systemic change in education: it transforms teachers’ roles, assessment methods, the organisation of teaching and institutional accountability.

The document emphasises:

  • the importance of AI competences in the teaching profession (data literacy, critical evaluation, ethics),
  • the practical significance of the European regulatory framework – particularly the AI Act and the GDPR,
  • and the role of ‘learning by doing’, i.e. practice-oriented teacher training.

According to the research, the most effective training programmes are not standalone technical courses, but complex, modular learning pathways that are embedded in pedagogical practice and support teachers through mentoring and collaborative learning.

An international analysis of AI-based learning platforms

The second document provides an international overview and comparative analysis of AI-driven e-learning platforms.

The study examines 11 different, globally accessible educational platforms from pedagogical and technological perspectives, including:

  • adaptivity and personalisation,
  • quality of content generation,
  • features supporting teachers’ work,
  • integration capabilities (LMSs, APIs),
  • data protection and GDPR compliance.

One of the key findings of the research is that the basic functions of AI tools are now widely available; however, the real differences lie in:

  • intelligent adaptation tailored to learner performance,
  • the diagnosis of knowledge gaps,
  • and institutional-level integration.

According to the study, the most valuable solutions are those that do not replace the teacher but reduce administrative burdens whilst supporting personalised learning and active, text- and problem-centred learning processes.

Laying the foundations for the next steps in development

The common message of the two studies is that the application of artificial intelligence in education can only be successful if:

  • it is people-centred and pedagogically sound,
  • it is legally and ethically sound,
  • and it is integrated into the operations of educational institutions in the long term.

The documents produced will directly inform the next phase of the AI Empower project: the professional design of the AI-based teacher training course and the AI Empower Platform. The project’s aim remains to enable teachers to use AI in education confidently, responsibly and creatively – for the benefit of their pupils.

5 January 2026