A Hybrid Learning Landscape About Artificial Intelligence for Teacher Trainers

In Germany, professional development (PD) programs are primarily organized by federal institutes, which have the resources to scale these programs, while universities face challenges such as limited long-term funding and staff turnover. Teacher trainers at federal institutes, typically subject matter experts (e.g., in mathematics), often lack AI knowledge and have expressed a need for AI-focused training. While universities tend to develop PD programs independently, there is little collaboration with federal initiatives. To bridge this gap, a collaborative project was initiated to create AI-related PD materials in partnership with teacher trainers. These materials are designed for piloting and dissemination by trainers and target teachers across multiple subjects, including vocational educators in fields like electrical engineering. This work-in-progress paper describes the development of a PD course structured around a Hybrid Learning Landscape (HLL) centred on AI. The HLL supports teachers in lesson planning, task differentiation, and the integration of AI tools, while providing foundational AI knowledge. The HLL content focuses on five core areas: (1) basic AI knowledge, (2) AI tools, (3) task differentiation, (4) quiz generation, and (5) additional AI-related PD resources. The preliminary findings on the collaboration align with related work and highlight the need to navigate the varying logics, interests, and expectations of the stakeholders involved. Networking meetings and exchange of ideas as well as continuous support seem relevant for a sustainable approach to AI PD.