AI in Academic Research

From the basics to practical application: The university library's e-learning module introduces the use of AI in higher education, while the workshops explore specific use cases from everyday student life in greater depth.

E-Learning Course "AI in Academic Research"

Contents

The course “AI in Academic Research” covers the following topics:

  • How generative AI models work and their technical foundations
  • Ethical issues surrounding the use of AI
  • Bias and distortion of information and data by AI models
  • Fundamentals of prompting
  • The use of AI in academic research and good academic practice when working with AI

Audience

Students and anyone else who is interested

Duration

~90 minutes

Dates and registration

This course is designed as an e-learning course on the Virtual Campus and includes learning materials and a test. Log in to the Virtual Campus using your ba number and enroll in the course “KI im wissenschaftlichen Arbeiten”.

Certificate of Participation

To receive a certificate, you must successfully complete the final test. This is also a prerequisite for taking part in the follow-up workshops.

Contact

If you have any questions, please contact zentralesteam.ub(at)uni-bamberg.de, tel. +49 951/863-1661.

AI workshops in the winter term 2026/27 (All workshops will be held in German.)

Contents

We turn to LLMs for advice on all sorts of problems, often unconsciously developing a parasocial relationship with the chatbot in the process. We perceive the responses as helpful, empathetic and validating, and we rarely question how the AI simulates closeness or consider the potential consequences. In this workshop, we will use practical examples to discuss how we can develop a critical distance from AI output.

Duration

60 minutes

Date, location, registration

Wednesday, November 18,2026, 2:15 p.m. - 3:15 p.m.

The event will take place in person in the group rooms at Branch Library 4 (HM2/01.15 & HM2/01.26).

Please register on the Virtual Campus.

Contact

Should you have any questions, please contact Max Franke oder Inga Gerike.

Contents

Are you struggling to find a topic for your thesis, which is due soon? Do you have a rough idea for a topic that you need to develop further?

In this workshop, you will learn how to take a strategic approach to identifying and developing your topic, and how generative AI tools can support you in this process by acting as a 'partner' or 'tutor'.

Duration

60 minutes

Date, location, registration

Friday, December 18,2026, 10:15 a.m. - 11:15 a.m.

The event will take place in person in the course room at Branch Library 4 (HM2/02.15).

Please register on the Virtual Campus.

Contact

Should you have any questions, please contact Pia Plechinger.

Contents

AI tools for literature research vary in their approach and data sources, which has an impact on the comprehensiveness, timeliness and reliability of the results. You will develop an understanding of how common AI literature research tools work and discuss their practical application based on your own information needs.

Duration

60 minutes

Date, location, registration

Friday, January 22,2027, 10:15 a.m. - 11:15 a.m.

The event will take place in person in the group rooms at Branch Library 4 (HM2/02.15).

Please register on the Virtual Campus.

Contact

Should you have any questions, please contact Louise Rumpf or Felicitas Wenisch.

Contents

Have you chosen a topic for your writing project but not yet formulated a research question?

In this workshop, you will learn how to develop a research question step by step and how generative AI tools can support you in this process.

Duration

60 minutes

Date, location, registration

Friday, January 29,2026, 10:15 a.m. - 11:15 a.m.

The event will take place in person in the course room at Branch Library 4 (HM2/02.15).

Please register on the Virtual Campus.

Contact

Should you have any questions, please contact Pia Plechinger.

AI Competency Nuggets for Teaching

For teaching staff, the University of Bamberg’s Media Education Service Center offers a VC course featuring AI competency nuggets that you can incorporate into your own VC courses.