VITA – Vocational Innovation through Teaching with AI
Project acronym: VITA
Project ID: 2025-1-LT01-KA220-VET-000362456
Programme: Erasmus+ KA220-VET Cooperation partnerships in vocational education and training
Target group: VET teachers and trainers, VET schools
Partner countries: Lithuania, Hungary, Italy, Spain
Duration: 1st September 2025 – 31st August 2027
Coordinator: Alytaus Profesinio Rengimo Centras, Lithuania
Background
The digital transformation of education is a broad and comprehensive process that impacts organizational culture and all aspects of the learning and teaching process. In vocational education, this process has begun in recent years. However, the rise of artificial intelligence (AI) is forcing VET schools to rethink their digital strategies and consider how to incorporate the opportunities offered by AI. Digital literacy can no longer be understood without artificial intelligence skills, and teachers need to be prepared for this.
Objectives
The project aims to empower vocational education and training (VET) teachers with the knowledge and skills required to effectively integrate artificial intelligence (AI) into their teaching practice. By combining AI with active learning methodologies, it promotes a student-centred approach that enhances engagement and supports the development of future-ready competences among learners.
The goal is to embed AI into VET education by incorporating it into standard curriculum lessons, regardless of the subject or profession. This innovative approach prepares students to adapt to the rapid technological advancements and thrive in an AI-powered world.
Target groups
Target groups: VET teachers/trainers, school leaders and vocational schools
Beneficiaries: VET students and companies
Implementation
The project implements a three-step model to align vocational education with the evolving demands of the labour market driven by digitalization and AI-solutions . Its activities are organised into four work packages. WP1 – Project and Quality Management ensures smooth coordination and communication, WP2, WP3, and WP4 deliver the three-step model through the development, testing, and implementation of innovative outputs described below
STEP 1 – School-wide Initiation in VET schools – Warming Up
● Engagement of all teaching staff in workshops introducing the fundamentals of AI and its relevance for VET education.
● Conducting a self-assessment (SELFIE) to evaluate teachers’ current AI knowledge and AI skills in their teaching practice.
● Collaboration with industrial partners to gain insights and ensure that the approach reflects real labour market needs.
● Integrating the outcomes into the co-designed curriculum and developing an online platform offering easy-to-access microlearning content.
STEP 2 – Blended AI Course for VET Teachers – In-Depth Learning by Doing
● Delivery of a comprehensive blended learning course on AI, addressing industrial applications, active learning methodology, classroom practices, and continuous professional development.
● Supporting teachers in designing their first AI-enhanced lessons and awarding micro-credentials to those who successfully complete the course.
STEP 3 – Practical Application and Reflection – AI in Action
● Teachers implement their AI-enhanced lessons or projects with students, followed by self-reflection with their long-term vision for integrating AI tools into teaching.
● Collecting students’ feedback and conducting pedagogical reflections to assess learning impact.
● Compiling the results into case studies and best practices to be shared across the European VET community through an open-source eBook.
The model inspires collaborative learning, innovation, and professional growth within VET schools. Through critical discussion and reflection, teachers and students will learn to evaluate AI applications responsibly, ensuring that technological innovation supports democratic participation in line with the fundamental values of the European Union.
Work packages
WP1 – Project and Quality Management
WP2 – Developing “AI-Powered Teaching for VET” Course
WP3 – Pilot Testing & Usability Validation
WP4 – AI-Powered Teaching in Action & Exploitation
Main results
● A comprehensive curriculum and micro-learning resource database on Artificial Intelligence (AI) tailored for VET teachers.
● A multilingual e-learning environment that supports self-directed learning and integrates innovative pedagogical approaches.
● Implementation of AI-powered lessons and projects with students, supplemented with case studies documenting classroom experiences.
● Micro-credentials for VET teachers as verifiable evidence of their AI-related knowledge and practical competences.
● The VITA eBook, presenting the three-step model, the insights of the pilot programs, and the best practices in AI-enhanced teaching and learning in vocational education and training (VET).
Partners
Alytaus Profesinio Rengimo Centras (Lithuania) – Coordinator https://www.aprc.lt/
iTStudy Hungary Educational and Research Centre for Information and Technology Ltd. (Hungary) https://www.prompt.hu/hu
AICA Associazione Italiana Per L’Informatica e Il Calcolo Automatico (Italy) https://www.aicanet.it/
Fondazione Giovanni e Irene Cova (Italy) https://socialinnovationlab.fondazionecariplo.it/organizzazione/fondazione-giovanni-e-irene-cova
Institut Escola del Treball de Lleida (Spain) https://www.escoladeltreball.cat/en/home/
SZÁMALK-Salesian Post-Secondary Institute (Hungary) https://www.szamalk-szalezi.hu/
Project leader: Helén Hegedüs
Language coordinator: Máté Koblencz
Financial manager: Adrienn Szarka
Pedagogical and project expert: Dr. Ildikó Sediviné Balassa
Mentors: Katalin Cséfalvay, Virág Molnár-Csikós, Máté Koblencz
Teachers participating in the project: Katalin Cséfalvay, Ernest Fischer Ron, József Halász, Helén Hegedüs, Gabriella Károly, Máté Koblencz, Hajnalka Molnár Csikós, Virág Molnár-Csikós, Gábor Orgoványi, Gábor György Varga
Online consultations, meetings:
VPM 1. – October 9, 2025 (https://www.szamalk-szalezi.hu/virtual-partner-meeting-vpm-1-october-9-2025-at-9-a-m/)
MI mentor training – October 30, 2025 (https://www.szamalk-szalezi.hu/vita-mi-mentor-training-30-10-2025/)
VPM 2. – January 8, 2026 – Agenda (see attachment- ezt korábban küldtem, kérlek linkeld be)
Project meetings:
Kick-off Meeting (M1): Alytus, Lithuania, November 18-19, 2025 (https://www.szamalk-szalezi.hu/kick-off-meeting-official-start/)
Partner Meeting – ALYTUS – November 18-19, 2025 40 Putinu street, LT-62321 Alytus, Lithuania
Official website of the project: https://vita.itstudy.hu/
Facebook page of the project: Facebook
Instagram page of the project: Instagram
