The main objectives were: • Develop learning and teaching strategies for FabLabs focused on IoT-related technologies, integrating Blockchain, AI/Big Data. • Design and implement didactic methods covering university degree students, teachers, and the general public. • Create learning material in blended format (e-learning, face-to-face sessions, and workshops). • Develop a complete curriculum for IoT prototyping, manufacturing, and application of AI/Big Data technologies in industry-like scenarios. • Train FabLab tutors to apply new methods and materials effectively. • Test and validate the materials through pilot courses in partner countries. • Publish an open-access toolkit for wider use.
Before the start of the project, there was a significant lack of structured and openly accessible training materials for supporting FabLab users and FabLab tutors/teachers, especially in advanced technology areas such as IoT, 5G, AI/Big Data, and Blockchain. While FabLabs existed in many universities and innovation hubs, their educational offer was fragmented, lacked a common pedagogical framework, and was often limited to basic prototyping skills. The project addressed the following needs: • Development of a consistent curriculum for IoT-oriented FabLabs. • Creation of blended learning resources (face-to-face, online, and workshop-based) accessible to multiple target groups (university students, professors, companies, and secondary school students). • Building tutor competences to deliver high-quality, hands-on IoT training linked to real-world applications in industry and research. • Providing open access to learning resources, enabling wider use in Europe and beyond.