Teaching and learning STEM embedded in real life scenarios have to start at an early education level. Our societies face a technological revolution where IoT, Big Data, and AI provide solutions that tackle global challenges, including climate change, food security or – as we see in the current scenario – pandemic outbreaks. Hence, it is crucial to stimulate students’ curiosity in these subjects and possible future professional career paths, and to highlight the role of science for societal progress.
Teacher training and teacher professionalisation are indispensable in this process: only by providing quality education and through a variety of formal, informal, and non-formal innovative educational tools, teachers will provide students relevant opportunities to build digital skills and apply their gained knowledge in daily life and a larger real-world context.
The project ‘IoT, Big Data and AI: Innovating STEM Teaching through Strengthening Teacher Professionalisation’ is a 6-month long hands-on training programme for teachers on IoT, Big Data & AI-related teaching in secondary schools: on a pedagogical, curriculum & technical level.
Schools in V4 countries are provided with cutting-edge technological equipment that focuses on environmental and climate change monitoring. All participating schools are connected through one common technical platform. Joint data collection and analysis enable an interactive teaching & learning environment that transcends borders and allows the teachers to discuss, jointly explore and identify areas for collaboration on experimental lessons for STEM classes. The project not only offers teaching & learning opportunities for STEM subjects; it also allows cross-fertilisation across other subjects (e.g., English, ethics, geography, social sciences, etc.).
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The project is co-financed by the Governments of Czechia, Hungary, Poland and Slovakia through Visegrad Grants from International Visegrad Fund. The mission of the fund is to advance ideas for sustainable
regional cooperation in Central Europe.