Artificial intelligence in teaching
Information, links and resources
Generative AI is transforming the world of education and offers opportunities as well as challenges for university teaching: AI can support teachers in promoting the individual skills development of their students, for example by creating personalised learning materials or using automated feedback. On the other hand, there are challenges relating to data protection and new opportunities for cheating in certain exam formats.
The University of Heidelberg recognises the transformative potential of generative AI tools for promoting research and teaching and therefore encourages the prudent, ethically acceptable and legally secure integration of these technologies into scientific work processes, provided that their use meets the highest standards of academic integrity and transparency.
To this end, Heidelberg University is promoting a community of teachers who see AI as an opportunity and want to integrate it into their teaching in an informed and targeted manner. On this page, we have compiled a wide range of advisory, information and training services to deepen understanding of AI in higher education and to introduce innovative, AI-supported teaching and learning opportunities.
Guidelines
The following guidelines serve as a university-wide framework and set out basic expectations for the responsible use of generative AI in all faculties. Individual departments may develop additional, subject-specific guidelines for the use of AI in teaching and learning in order to meet the specific requirements and contexts of their degree programmes and courses. The established guidelines will be communicated transparently in the respective subjects.
Consultation
If you have any questions about the use of AI in your teaching or would like to try out innovative AI-supported formats, we will be happy to advise you. Please send your teaching-related enquiries by email to:
lul@heiskills.uni-heidelberg.de
If you have any legal questions about the use of AI, the ‘Legal Services in Studies and Teaching (Dept. 2.2)’ department is always available to provide advice and wording for examination regulations (e.g. ‘Declaration on independent work and the use of AI-based aids in examinations’). Please send your legal questions by email to:
Rechtsservice-Studium-Lehre@zuv.uni-heidelberg.de
Offers
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KI in Anwendung - Bildung, Praxis, Reflexion
KI-Tools für Literaturrecherche
KI in der Hochschullehre
Weiterbildung Künstliche Intelligenz in der Hochschullehre
Überregionale Veranstaltungen rund um Hochschule und Digitalisierung
Vortragsreihe „Strategiebriefings – KI in Lehre und Studium“
Platforms
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Self-study resources
You can use the following content categories to filter the self-study resources in the search function:
‘Ethical & legal challenges’, ‘Academic work’, ‘Testing & assessment’, ‘Basics’, “Teaching” and ‘Learning’.