Increasing the Quality of Vocational Education With the Samples of Artificial Intelligence Technology in Different Fields

2021-1-BG01-KA220-VET-000034626

Start Date: 01.11.2021

End Date: 31.10.2023

COORDINATOR: BFU Burgas Univerity

PARTNERS:

UNIVERSITA TELEMATICA INTERNAZIONAL E-UNINETTUNO, ITALIA

LODZKIİE CENTRUM DOSKONALENIA NAUCZYCIELI I KSZTALCENIA PRAKTYCZNEGO, POLAND

COLEGIUL TEHNIC DE TRANSPORTURI TRANSILVANIA CLUJ- NAPOCA, ROMANIA

ECOSISTEMAS VIRTUALES Y MODULARES SL, SPAIN

SUMMARY OF THE PROJECT:

The topic of artificial intelligence is currently one of the most popular science fields in the world. The researches and future artificial intelligence predictions show that artificial intelligence will have a great importance in shaping the future. The USA and China continue to lead the world in this regard. However, with the plans and strategies of the European commission, it will show itself in this game in Europe. The Commission and Member States agreed to join forces on AI policy and investment in 2018. The revised Coordinated Plan on AI was published in April 2021. Maximising resources and coordinating investments is a critical component of the Commission’s AI strategy. Through the Digital Europe and Horizon Europe programs, the Commission plans to invest € 1 billion per year in AI. It will mobilise additional investments from the private sector and the Member States in order to reach an annual investment volume of € 20 billion over the course of this decade. And, the newly adopted Recovery and Resilience Facility makes € 134 billion available for digital and will be a game-changer, allowing Europe to amplify its ambitions and become a global leader in developing cuttingedge, trustworthy AI.

These developments in artificial intelligence also show the size and importance of the subject. Working in the field of artificial intelligence technologies individually or institutionally is very difficult in terms of skills. Cooperation is inevitable in this regard. However, since the competencies of each institution differ, it does not seem possible institutionally to reveal important components such as training materials related to artificial intelligence. We want to bring together the strengths of institutions and to develop innovative training materials that meet the needs of the workforce by blending their skills.