COURSE OVERVIEW
In today’s rapidly evolving technological landscape, understanding coding and robotics has become essential for preparing students for the future. This course empowers teachers of all subjects to integrate coding, robotics, and artificial intelligence into classroom practice.
Participants will explore how to teach computational thinking, problem-solving, and design through hands-on activities that connect technology to creativity, sustainability, and real-world innovation.The course focuses on practical and interdisciplinary approaches, encouraging participants to “learn by doing” while fostering collaboration, curiosity, and innovation across subjects.
PRACTICAL INFORMATION
Format: 5 days, 25 hours in the classroom (60 minutes) ≈30 teaching hours (45 minutes)
Language: English (B1+)
Target group: ECEC (pre-primary), primary, lower and upper secondary education, VET (IVET/CVET), post-secondary non-tertiary education, adult education (adult learning and continuing education providers), school leaders/support staff, non-formal learning professionals and community-learning professionals
Location: Františka Křížka 362/1, Prague, Czech Republic
What to Bring: Nothing required - materials provided on site.
Contact / OID: info@itc-international.eu, +420 739 457 451 | E10088318
WHAT'S INCLUDED
Fee: €400 per participant
Includes: Full training, Orientation Walk with a Local Guide (optional, complimentary, after course and not counted in course hours), coffee breaks, course materials, and all administrative support (Learning Agreements, Europass, Certificates, etc.).
Support: We provide full pre-course assistance with practical arrangements, including guidance on accommodation and local transport.
COURSE MODULES & SCHEDULE
Module 04 - Advanced Microcontrollers:
CyberPi – Understanding advanced programming concepts, data flow, and control mechanisms.
Module 05 - Programming Robots & Gathering Data from Sensors:
Collecting, visualizing, and interpreting real-world data using sensors and robots.
Module 06 - AI and Vibecoding: What Is the Future:
Exploring the intersection of robotics, artificial intelligence, and emotional coding (vibecoding).
Module 07 - Practical Use Cases and STEM Projects:
Designing creative classroom projects linking AI, sustainability, and robotics.
Module 08 - Introducing mBots:
Programming mBots to complete challenges that reinforce teamwork and computational thinking.
Module 09 - Outdoor Activity – Robotics in Action:
Programming independent mBots for real-world navigation and environmental tasks. Focus on collaboration, creative problem-solving, and data-driven learning.
Module 10 - Participant Projects Presentations:
Teams present and demonstrate their robotics projects.
Module 11 - Feedback, Evaluation, and Dissemination:
Sharing learning outcomes, exchanging ideas for classroom adaptation, and planning for future Erasmus+ cooperation.
Final Reflection
Action Plan • Certificates & Farewell
Learning Outcomes
After the course, participants will be able to:
- Understand the principles of coding, robotics, and AI in education.
- Develop skills in programming microcontrollers and robots through hands-on experimentation.
- Explore STEM and STEAM methodologies that link technology to creativity and problem-solving.
- Gain confidence in using tools like BBC Microbits, CyberPi, and mBots to design classroom activities.
- Apply Project-Based and Inquiry-Based Learning to coding and robotics lessons.
- Learn to collect and use sensor data to create interactive, student-driven projects.
- Enhance digital literacy, collaboration, and communication through robotics teamwork.
- Strengthen understanding of AI ethics, digital citizenship, and sustainable innovation.
Teaching & Learning Methods
All our methods are designed to be highly interactive and hands-on, ensuring a practical and engaging learning experience.
- Hands-on and Experiential: Direct experimentation with robots, coding challenges, and design projects.
- Collaborative and Cross-Curricular: Peer teamwork combining STEM, creativity, and problem-solving.
- Reflective and Inquiry-Based: Learning through questioning, testing, and redesigning prototypes.
- Playful and Technological: Exploration of tangible coding and robotics platforms in motivating ways.
EU Competence Frameworks
This course aligns with key EU competence frameworks:
- DigCompEdu: Enhancing digital teaching competence through robotics and coding.
- LifeComp: Fostering critical thinking, resilience, and creativity in problem-solving.
- EntreComp (adapted): Developing initiative, innovation, and value creation.
- Key Competences for Lifelong Learning: Strengthening digital, mathematical, and learning-to-learn competences.
Erasmus+ Priorities
This course equips participants with skills that respond directly to key Erasmus+ priorities:
- Digital Transformation: Encouraging innovation and digital readiness through practical technology use.
- STEM and Sustainability: Promoting inquiry-based and interdisciplinary learning for sustainable futures.
- Improving Teaching Quality: Building confidence in integrating robotics and coding into real classrooms.
- Inclusion and Participation: Making technology accessible and engaging for all learners.
LEARNING OUTCOMES
- Enhance skills to use various innovative learning methods and techniques that are hands-on-centred, encourage solving of meaningful real-world tasks and develop transversal competencies.
- Developing curricula on coding and robotics in an effective and innovative way in the scope of blended learning
- Promoting interdisciplinary through Robotics
- Know how to use robotics and programming in the classroom;
- Be aware of the diversity of robots and programmable devices available;
- Evolve with different programmable devices using visual programming languages;
- Create attractive learning activities through tangible devices;
- Motivate students for self-learning.
- Increased awareness among students about the use of sensing and control in society.
- Knowledge, technical skills and competences concerning the use of technical tools, that today are important in several jobs and different sectors.
- Promotion of existing robotics in schools methodologies at National and European level.
- Promotion of the debate about technology and robotics in schools.
- Apply Problem and Inquiry based learning as a student-centred teaching method, encourage learning in the context of real-world problems that are likely to be encountered by students.
- Develop students learning autonomy by self-directed hands-on learning approach, elaborate on student’s prior knowledge, trigger an effective use of arguments and evidence, use questioning as a tool of learning
- Generate ready‐to‐use materials and ideas to support the organisational development and quality improvement in the STEM field skills, support cooperation between institutions and employers.
- Develop relevant, high-level skills such as decision making, collaboration, communication, critical thinking and other key competences through STEM teaching methods, enhance good quality of mainstream education.
- Meet colleagues of different nationalities within the EU, engage in cross-cultural learning experience, exchange ideas and build a network for future international cooperation.
- Gain broader understanding of practices, policies and systems of education of different countries, cultivate mutual respect, intercultural awareness and embed common educational and training values.
- Enrich communication skills, improve foreign language competencies, broaden professional vocabulary and promote EU’s broad linguistic diversity.