Data Science and Internet of Things. Partnership for Innovative Europe. 

The general theme of the project is modern education, preparing the graduates of secondary vocational schools for involvement in the era of Industry 4.0. The project clearly and concisely defined the 4 areas where the participants improved their professional skills and competencies. They all relate to the essential part of the work process in the Industry 4.0 era - Data Collection and Reporting, Data Interpretation, and the Internet of Things. We applied for this project to address several vital needs:

1. Modernization of education: The need to modernize our VET systems and curricula to align with the evolving demands of the Data Science and IoT sectors.

2. International collaboration: To foster international cooperation and provide students and teachers with exposure to diverse perspectives and best practices.

3. Professional development: To equip teachers with up-to-date knowledge and pedagogical approaches.

4. Empowering students: To provide students with practical skills and experiences and problem-solving in a digital world.

Our project aimed to bridge these needs and offer a holistic approach to enhancing the quality and relevance of vocational education while nurturing a global mindset in our students and teachers. The project aimed to develop preparation forms for technical secondary school students that reflect the needs of firms operating in Industry 4.0. Primarily, it is concerned with the details that lead to the complex functioning of smart factories. To work correctly, the smart factory needs a range of specialized methods, procedures, and competencies from which the proposed project focused on the following areas:

1. Designing the database, working with data, saving data, creating the interface of a database - how to develop and set up the database and establish the Web-API (online cloud solution) for data exchange via the internet.

2. Fill in the database with specific data - how to work with the collected data material and how to analyze it.

3. Collecting external data using conventional electronic devices such as mobile phones, GPS modules, and tagged photographs.

4. Data processing using several programs and online services for recording position, altitude, speed, and movement (GPX files), web presentation of the token photographs with information background.

5. Internet of Things - how to use several MicroBit sensors for the measurements that give an instant online response (data mirroring).

We executed a comprehensive set of activities within our project:

1. Preliminary remote cooperation: This involved virtual meetings among project coordinators to plan activities, set work tasks, and prepare for future workshops.

2. International student workshops: These hands-on workshops brought students from different countries together to work on assigned tasks, gaining practical skills in database design, IoT, data collection, and cultural heritage preservation.

3. Subsequent remote collaboration: Following each workshop, project coordinators and teachers from partner schools engaged in video conferences to coordinate the final project outcomes, ensuring quality and alignment with objectives.

4. Professional collaboration: To enhance the knowledge and expertise of our participants, we collaborated with professionals from ATS, a renowned ICT company, who provided guidance and supervision and led specialized workshops on data collection in industrial processes.

5. Dissemination: We employed various strategies to share our project's activities, results, and outputs, including maintaining a dedicated project website, promoting the project on social media, organizing events, and publishing articles in local newspapers.

Our Erasmus+ partnership project, Data Science and Internet of Things. Partnership for Innovative Europe produced the outputs that correspond to the intentions stated in the project proposal:

1. Project Database Map – created in Azure websites for storing photographs,

2. Web presenting instant online data mirroring based on MicroBit sensors and measurements,

3. Web presentation with photos, descriptions of the pictures, and Google My Map tracking,

4. The workflow to create the security system for the protection of a work of art,

5. An accurate simulation of how the production line works with the outputs in Ignition, software for unlimited digital transformation.

6. Short videos made during the virtual cooperation,

7. Modification, innovation, and improvement of the lesson plans of the subjects related to Industry 4.0 in all partner schools.

DISCLAIMER

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.