Description
This 5-day intensive course focuses on STEM and environmental studies, with an emphasis on integrating Artificial Intelligence (AI) into classrooms through real-world, sustainability-focused projects.
Participants will use tools like Teachable Machine to explore how machine learning can raise awareness and generate solutions for environmental challenges. Through hands-on activities, collaborative design, and reflective practice, teachers will experience how AI can support competency-based learning and inspire students to become changemakers in their communities.
Digital Competence
- Understand the fundamentals of machine learning and AI.
- Use digital tools (Teachable Machine) to design and train basic AI models.
- Evaluate the ethical and environmental implications of AI technologies.
Environmental and Scientific Literacy
- Apply AI to real-world environmental issues such as waste classification or nature sound monitoring.
- Promote critical thinking around sustainability, ecosystems, and human impact.
Creativity and Innovation
- Promote critical thinking around sustainability, ecosystems, and human impact.
- Apply AI to real-world environmental issues such as waste classification or nature sound monitoring.
Pedagogical Design and Collaboration
- Co-create classroom-ready resources and learning sequences.
- Share and review ideas through peer feedback and collaborative planning.
The course uses a learning-by-doing and project-based approach, supported by:
- Hands-on exploration of AI through visual and audio model training.
- Collaborative project design in small teams.
- Case studies and real-life examples linking AI and sustainability.
- Reflection sessions focused on classroom application, inclusion, and ethics.
- Tools: Teachable Machine, basic multimedia capture (images, sounds), shared digital docs.
No prior coding or AI experience required.
By the end of the course, participants will:
- Understand the basics of AI and how it can be used to support environmental education.
- Design and train simple AI models using Teachable Machine (image/audio).
- Create at least two prototype projects: one for waste classification, and one for sound recognition in nature.
- Develop a ready-to-use, interdisciplinary lesson plan or project for their students.
- Gain confidence in guiding students through AI-based inquiry and sustainability challenges.
- Leave with a toolkit of digital resources, example projects, and a supportive teacher network.
NEXT COURSES
Our Pricing
100% funded by the Erasmus+
Services included
- Pre-arrival information.
- Tuition & training materials.
- Coffee break.
- Training Certificate.
- Europass Certificate.
- Admin & organizational costs.
services
- Accommodation (hotels & self-catering apartments).
- Half-day and one-day trips.
- Cultural activities.
- Airport transfer.
- Local transport.
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