Data and AI Training for Agricultural Students

<< Objectives >>• Integrating AI and data science technologies into agricultural vocational training.• Training agricultural technicians with high digital competence through combined training.• Increasing the employability of young graduates and ensuring that they work in better conditions.• Meeting the needs of businesses for a trained workforce• Contributing to the successful digital transformation of agriculture• Contributing to the sustainability of agriculture• Contributing to EU digitalization goals<< Implementation >>• Training agricultural teachers on AI and data• Creating good digital learning conditions in schools• Creating elective courses and Competency framework for schools• Adopting agricultural students on self-learning principles• Training students on AI and data scienceIn the scope of the project, a LTTA for teachers, an international AI and data application event for students will be organized, 7 multiplier events, 3 TPM, and at least 4 student dissemination events will be organized.<< Results >>Project results;PR1- E-learning platform (AI, data and agricultural applications)PR2- Self-Learning E-Guide for Agricultural Secondary School StudentsPR3- Competency Framework for the integration of the AI and data into agricultural subjectsPR4- Basic AI and data into agricultural subjects elective course content for studentsPR5- Online Case PoolThe main result of the AITrain project is that agricultural schools become VET institutions adapted to the digital transformation of agriculture.