- Machine-translated
Ongoing project · 2024–2027
Artificial Intelligence as a VET Teaching Assistant
The ‘Artificial Intelligence as VET Teacher Assistant’ (VETAssIst) project is supported by the Erasmus+ KA220-VET funding scheme. Our aim is to further develop vocational education and training by integrating the transformative potential of artificial intelligence (AI) into the day-to-day work of vocational education and training teachers.
Background and Problem
The aim is to further develop vocational education and training (VET) by integrating the transformative potential of artificial intelligence (AI) into the everyday work of VET teachers and by supporting them through the exploration, evaluation and implementation of AI tools as digital assistants. In this way, we seek to:
Improve the quality of education through personalised and efficient teaching methods.
Equip teachers with AI skills so that they can assess and make use of these modern digital technologies.
Address both the opportunities and the challenges of AI in education.
Research question
AI is on everyone's lips – but not yet in everyone's practice. What reasons prevent teachers at vocational schools from making informed use of AI?
Which teaching content therefore needs to be developed for an online course on AI for this target group?
Approach
A comprehensive assessment of AI tools with regard to their pedagogical value for VET.
Development of a freely accessible e-learning course to improve the AI skills of teachers in vocational education and training.
Publication of multilingual continuing training resources, including an eBook and video tutorials, to support teachers worldwide.
Building networks and promoting the adoption of AI in VET through podcasts, workshops and international cooperation.
Results
An overview of AI tools that are or could be relevant for teaching at vocational schools.
Case studies of successful implementation projects.
A systematic survey of the reasons why teachers at vocational schools are hesitant to use AI.
Eight modules on the use of AI at vocational schools are being developed, delivered and evaluated in the participating countries.
SWOT analyses: As part of the evaluation of the pilot courses, structured SWOT analyses (strengths, weaknesses, opportunities, threats) are being carried out. These analyses provide an evidence-based foundation for revising existing curricula, developing new educational offerings and ensuring the sustainable use of AI at vocational schools.
Dissemination and Transfer Activities
Presentation of the project at the final conferences of AI4ED (May 2025) and AI Pioneers (September 2025).
Publication on the Erasmus+ Project Results Platform
Presentations at international scientific conferences (e.g. ECER)
Production of multilingual information materials and policy briefs
Involvement of sectoral stakeholders, including from VET institutions, industry associations and standardisation bodies
Use of existing partnerships for curricular integration at national level.
Presentation at the AI_pioneers final conference: Saniter, Andreas (2025): AI pioneers – and the rest?
Bükki, Eszter; Papp, Zoltán; Manojlovic , Helena; Saniter, Andreas; Luprichová, Jana; Kovács , Elvira (2025): Artificial intelligence in VET: Interests and concerns among VET teachers, in: Nägele, Christof; Stalder, Barbara E.; Kaiser, Franz; Malloch, Margaret; Kersh, Natasha Trends in vocational education and training research, OA Publishing: VETNET

