Regional engagement

Our regional engagement: AI Education in Leverkusen

AI should not only be a topic in companies—it should also reach the place where the future is shaped: schools.

lev creation lab

That is why we contribute pro bono as speakers in the City of Leverkusen's AI working group and support students in grades 7–9 in understanding AI and applying it meaningfully to their own projects.

Go to lev creation lab

In short

We teach the basics, support project work, and give students a tool they can use to collaborate in a structured way as a team: Teampilot.

Context: lev creation lab (City of Leverkusen)

Our engagement takes place around the lev creation lab—an extracurricular learning environment for AI and robotics in Leverkusen. According to the project management, it is funded by the state of North Rhine-Westphalia and the EU as part of the “Pact for Computer Science”, offering multiple formats to inspire young people early for AI/robotics and motivate them toward internships, vocational training, or university studies in IT/digitalization.

Initiator & project lead: Felix Schwanke

The lev creation lab is initiated and led by Felix Schwanke (City of Leverkusen, Municipal Education Office). In this project, he connects educational stakeholders, schools, and practitioners to make AI and robotics topics understandable, interactive, and project-based for young people.

Felix Schwanke on LinkedIn
Felix Schwanke

Teampilot as the tool for student projects

To turn ideas into real projects, teams need structure. Students use Teampilot as their workspace to:

  • capture tasks and next steps,
  • document knowledge and research findings,
  • collect and improve interim results,
  • make teamwork easier and more transparent.

This creates not only outcomes, but also a clean project process that makes learning progress visible.

Learn more about Teampilot

Sustainability & token transparency: conscious AI usage

Using AI requires resources. That is why, at the end of the school year, we address sustainability in AI usage with a simple and practical indicator:

We aggregate the group's token usage and make visible how intensively AI was used in the project.

Important:

  • The token value is not an exact environmental measurement, but a transparency and learning instrument.
  • The goal is conscious usage: ask more precisely, reduce unnecessary loops, and get better outcomes—instead of “more AI at any cost”.

What students learn from this:

  • AI is a tool: quality also depends on clear tasks, good sources, and clean documentation.
  • Efficient usage is part of responsible practice.