Photo by Vitaly Gariev on Unsplash
January has been a busy and energising month for the DIVETOUR2 team. We’ve just wrapped up a round of testing sessions at ENGIM, and the experience has already started shaping the next steps of our AI learning materials.
Bringing the Modules Into the Classroom
Our goal for this phase was simple: understand how well our first AI modules work in a real classroom before finalising them. To do that, we spent six days with ENGIM’s culinary (cucina) and service (sala bar) students (from the first to third year each), exploring both the overall learning plan and the first AI lesson in detail.
Each session lasted about four hours and was intentionally hands‑on. Around 15 students worked in small groups, moving between short texts, interactive presentations, and quick questionnaires. Bluebook supported the process with clear testing materials and on‑site guidance, which helped students feel comfortable sharing honest, thoughtful feedback.
Their comments were incredibly useful. Many pointed out where the text could be lighter or more direct, helping us refine the “learning pills” so they stay engaging even for shorter attention spans.
Insights From Teachers, Trainers, and Tutors
Alongside the student sessions, we also met with VET professionals, our Teachers, Trainers, and Tutors (TTTs). They focused on how the modules fit into existing curricula and what adjustments would make them easier to adopt in everyday teaching. Their perspective added a valuable layer to the evaluation, bridging the gap between learner experience and practical implementation.
Moving Forward With Confidence
The results of this testing phase were very positive. We now have a rich collection of insights that will directly inform the next development steps. By involving both learners and educators early in the process, we’re ensuring that the final DIVETOUR2 resources will be accessible, inclusive, and ready for the realities of today’s VET classrooms.