Kursbeschreibung

Artificial Intelligence and Sustainability are cross-cutting topics which are relevant for almost every academic discipline. Both are interconnected and closely tied to major societal transformations and global challenges. This course invites university educators to explore how these themes intersect and to consider their relevance across disciplines.

How can scientists meaningfully integrate AI and Sustainability into their teaching? How can students be equipped with the skills, knowledge, and critical perspectives needed to navigate — and actively shape — a rapidly changing world? What is required to engage students responsibly and creatively with the challenges and opportunities ahead?

This course addresses practical approaches to help university educators embed AI and/or Sustainability aspects into their courses and curricula for example with research-based teaching. It also provides opportunities to exchange experiences and learn from one another.

Learning objectives:

Within this course participants will:

• explore AI and Sustainability as key challenges and opportunities shaping the future of higher education,
• discover connections and synergies between AI and Sustainability for their own teaching practice,
• share ideas, experiences and practical teaching strategies to empower students with essential skills, knowledge and critical thinking for a changing world.

Target group: University teaching staff, SEA EU members

Organisational aspects:

• When you register as a mandatory participant, please note that attending the training is part of your official duties and an unexcused absence is a violation of your official responsibilities. Any further education undertaken during your working hours is subject to the prior approval of your manager.

• Access information to the course will be announced via e-mail.
• CAU-Certificates: Certificate University Didactics: Digital Teaching
• Fee: 187,50 €. FREE FOR ALL SEA-EU Members! Free for employees of CAU and PhD students who are registered within the Graduiertenzentrum.
• Deadline for registration: 11 days before the date of the course

• Further Organisational information (in German)