Current information that is of interest to student teachers, trainee teachers and teaching staff is listed under science transfer. This includes information on (generative) AI and measures to improve teacher training.
A central goal is to gather findings from theory and transfer them into (teaching) practice. The focus of this transfer is on all three phases of teacher training: studies, preparatory service and further education and training.
- EU Artificital Intelligence Act
- Large Language Models and their potential in the education system. A SWK impulse paper
- Open Roberta Lab: https://lab.open-roberta.org/
- UNESCO AI competence framework for students
- UNESCO AI competence framework for teachers
- Supply and usage model for online and face-to-face teacher training programs - ANM-LFB
- Supply and usage model for train-the-trainer programs
- Digitalization-related skills for teachers of technology-related subjects - DiKoLAT
- KMK recommendations for strengthening STEM education
- Competencies for the successful transition from secondary level 1 to vocational training. Expert opinion of the SWK
- Teacher recruitment and teacher training for high-quality teaching. Expert opinion of the SWK
- Future workshop for teacher training. Master plan of the Stifterverband