The AI4GreenSME training platform has been fully piloted and evaluated, showing excellent results from both internal and external users. The evaluation confirms that the platform delivers meaningful learning outcomes for SMEs and vocational trainers, while also identifying priority areas for further improvement.

Main Results

Overall Effectiveness

  • Internal users (n = 23): Average 4.26/5, with 65% rating ≥ 4
  • External users (n = 28): Average 4.29/5, with 68% rating ≥ 4
    The course is widely recognised as meeting its learning objectives.

Design Quality

  • Scores ranged between 4.13–4.61 for internal users and 4.05–4.52 for external users.
  • The highest-rated aspect was logical sequence of content (≈4.6).
    Content and structure are consistently perceived as clear and well organised.

Practical Value for SMEs

  • 91% of internal users and 89% of external users believe the course will help them operate more sustainably using AI.
    This demonstrates strong workplace transferability of the knowledge gained.

Recurring Suggestions

  • Internal users highlighted the need to improve navigation, refine translations, and add AI demonstrations.
  • External users emphasised the importance of including local examples and additional case studies.

Evidence of Learning

The combination of high effectiveness scores and the belief that knowledge can be directly applied in practice shows that the platform already supports meaningful learning aligned with the project’s objectives.

Overall Conclusion

The pilot phase demonstrates very high satisfaction with both the platform and collaborative activities. With nearly all indicators rated above 4/5, the training programme already brings tangible value to SMEs.

At the same time, the feedback provides clear directions for improvement, including:

  • Simplifying navigation and strengthening branding,
  • Adding AI demonstrations and relevant case studies,
  • Expanding networking opportunities and post-course support.

These results confirm the feasibility of scaling up both the training platform and the wider AI4GreenSME network.

Priority Adjustments to the Platform

  1. Simplify navigation – Add breadcrumbs and a clear progress tracker.
  2. Refine translation and visual consistency – Ensure clear communication and a coherent project identity.
  3. Incorporate demonstrations and case studies – Provide AI tool demos, local case studies, and interactive elements such as guided videos and mini-simulations.
  4. Maintain accessibility standards – Preserve high standards of legibility, contrast, and infographic clarity.