The AI in Mentoring project has published its Impact Evaluation Report, presenting the results of the pilot training activities carried out in Bulgaria, Belgium and Spain.
The report evaluates the training programme developed under the project, with a focus on work-based learning mentors and related workplace support roles. The training was delivered in two parts: AI Literacy and AI in Mentoring. Together, they aimed to help mentors understand how artificial intelligence can support their work in a practical, responsible and human-centred way.
The results are positive. Participants reported stronger familiarity with AI tools and higher confidence in using them for everyday mentoring tasks, such as preparing meetings, adapting explanations, giving feedback, reviewing progress and discussing ethical questions. The report also shows that mentors felt better prepared to use AI across the main phases of mentoring: preparation, induction, implementation and evaluation.
One of the key messages of the report is that AI should not be seen as a replacement for the mentor. Its value is in supporting preparation, communication and reflection, while the mentor remains responsible for trust, judgement, encouragement and personal guidance. This balance is especially important in vocational education and training, where the quality of mentoring has a direct influence on learner confidence and workplace integration. The findings also confirm that the training programme and handbook offer a useful basis for wider application by trainers, companies, VET providers and organisations involved in work-based learning.
The project team is now preparing for the final project conference, which will take place on 30 September at the Grand Hotel Sofia. The event will bring together project partners, trainers, mentors and stakeholders to discuss the results of the project, recent AI developments, and the way artificial intelligence is shaping mentoring practices in vocational education and training.
Those interested in attending the conference or learning more about the project can contact the team through the contact form on the project website or write directly to the project coordinator Martin Stoyanov at: martin@bia-bg.com
Full report available: here