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.
An ITC representative is on-site all week, providing full daily administrative and logistical support.
We ensure every document (from Learning Agreements to Certificates and Europass) is completed correctly and on time, handle any on-site requests, and deliver a fluid, welcoming experience from start to finish.
COURSE MODULES & TENTATIVE SCHEDULE
Module 01 - Introduction to Robotics:
Orientation, networking, and overview of course objectives.
Module 02 - How Do We Instruct Machines:
Exploring the logic behind programming, algorithms, and the differences between Coding and Machine Learning.
Module 03 - BBC Microbits:
Hands-on introduction to microcontrollers, sensors, and basic programming.
Orientation Walk with a Local Guide (optional, complimentary)
A short post-class city walk for orientation and networking. Voluntary, no fee, separate from the course, and not counted in Erasmus+ hours or outcomes.
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.