Language plays a central role in learning at school – both as a communicative prerequisite and as a learning medium and learning objective. At the same time, it also represents a central dimension of heterogeneity. However, teachers often lack the time to support pupils with very different language learning needs individually in their acquisition of language skills. The use of new digital technologies, such as AI-based systems, offers the opportunity to constructively address the linguistic heterogeneity of learners in the context of participation and equal opportunities.
Natural language processing (NLP) applications such as ChatGPT or DeepL are currently developing extremely dynamically and have recently made great progress in the linguistically correct translation of texts and in AI-supported machine text production. The use of such systems therefore has the potential to support teachers in designing individualised language learning opportunities for pupils, for example.
Appropriate professionalisation concepts are needed to prepare teachers for the competent use of AI-based systems in schools and subject lessons. The joint project is therefore developing target group-specific information and qualification programmes that not only impart knowledge about the opportunities and potential of AI-based systems, but also address fears and reservations as well as concrete, factual limits and problems of using AI in the school context.
The joint project will specifically highlight the possibilities of individual feedback for pupils through NLP as well as the possible applications of intelligent tutorial systems and social robots. It also focuses on reflecting on the ethical, legal and social implications of using AI-supported systems in the school context.
Connection to practice, transfer and implementation
The transfer of the developed professionalisation offers for the use of AI-based systems in language teaching into teacher training and thus also into school practice is a central goal of the project network. The concepts are being developed in close collaboration with the cooperating state institutes in Berlin-Brandenburg, Hamburg, Lower Saxony and Schleswig-Holstein. In addition, the developed concepts are to be embedded in the university teacher training programme. In this context, a transfer conference on the topic of AI for university teaching in teacher training programmes will take place at the University of Potsdam in 2025.
The concepts developed will be made available in the form of Open Educational Resources (OER) to enable the modular professionalisation courses to be implemented beyond the participating federal states. The sustainable transfer into practice is also supported by Zukunft Digitale Bildung gGmbH, the Forum Bildung Digitalisierung and the KI-Campus as transfer partners.