Generative AI in Teaching
Informationen for Teaching Staff
On this page, we have compiled information and materials for faculty. You will find guidelines to consider if you plan to use generative AI in your courses or allow it as a tool in student work and other assessments. Additionally, you will find resources and links for further professional development and information on the advisory services available to you at HWR Berlin.
Events
- Prompt Engineering leicht(er) gemacht (Workshop) (in German)
22.05.2025, 1o am, CL, 6A 126
22.05.2025, 12 pm, CL, 6A 126
10.06.2025, 10 am, CS
10.06.2025, 12 pm, CS
Registration (Workshop in German)
Back to the AI page of HWR Berlin
Comprehensive information on the topic of generative AI at HWR and about HAWKI can be found on the AI page of HWR Berlin.
open HAWKI
FAQ for Teaching Staff
What rules apply at HWR Berlin?
- HWR Berlin is open to the topic of generative AI in studies and teaching. a position statement and recommendations for action are summarised in the guidelines for AI-based applications at HWR Berlin (5/23)(in German).
- Generative AI tools are permitted in student work (term papers/theses) or other form of assessment if you or the examination board have explicitly authorised them as aids.
- HAWKI provides data protection-compliant access to Open AI GPT-4o, which can be used free of charge for studies and teaching.
- Compliance with data protection and copyright is important – see the data protection page for HAWKI and the information sheet on the use of generative AI and data protection (3/24) (in German).
Rules for the Department of Business and Economics (FB1):
- For term papers, final theses and other types of unsupervised examinations, the AI regulation of FB1 applies.
- Teaching staff can find the Declaration of Authorship and further information in Moodle: FB1 FAQ Lehre
- Students can find the information in the respective Moodle rooms of the study/master’s offices.
Who decides whether generative AI can be used in courses or exams?
- The use of generative AI tools in courses and exams depends on the specific learning objectives.
- In student work (e.g., term papers or theses) and other assessments, the use of AI tools is allowed if you (or the examination committee) explicitly approves them as tools.
- The decision-making guide can help you define when the use of AI tools should be allowed as aids in respective exams or when it may be advisable to discourage their use.
- Please note that the use of generative AI tools is voluntary for students unless the assignment explicitly requires engagement with generative AI tools.
Which generative AI tools can I use or recommend to my students?
Since 10/2024, HWR Berlin has offered the HAWKI service, which provides a data protection-compliant access to the text generator ChatGPT via the HWR user account.
If you would like to use other AI tools in your teaching and for your lesson preparation, please be aware that personal data may be processed. Preferably use data protection-compliant AI services from Germany or the EU.
Please note that students cannot be required by teaching staff to use or register for external AI services as part of courses and assessments. Further information can be found in the Data Protection Information Sheet (3/25).
Additionally, for all AI tools, it is important to consider the following:
- Confidential information should not be shared.
- Copyrighted information should not be entered into generative AI.
- Texts generated by generative AI tools may contain incorrect data or references and should therefore be carefully reviewed. AI tools are often not based on a scientific foundation.
AI tools in the university context:
- AI tools in the context of academic reading and writing processes.
How should students indicate and document the use of generative AI (declarations of independence/referencing)?
If you allow your students to use generative AI tools in their work (e.g., term papers, theses), they should make their use of AI transparent in their submissions. It is recommended that this be done considering the following apects:
- AI usage in Declaration of Authorship
- Documentation through an AI directory (possibly including the chat history or prompts)
- Citing (if AI should be documented as source)
At HWR Berlin, there is a phrasing guide offering various options for these aspects. Ensure that the correct indication is agreed upon with your students. Possibilities of AI documentation has been made available to students on the following page.
Additionally, recommend that your students save their chat history (questions/inputs/prompts and responses) outside of the AI application. Depending on the subject, you may decide whether this documentation is mandatory and should be attached to their work.
If you want to allow specific AI/IT tools as aids that do not need to be referenced by the students, you can provide them with a whitelist (see the FAQ topic “Whitelist”).
Was ist eine Whitelist (im Zusammenhang mit generativer KI)?
A whitelist is a list of tools that students are allowed to use without having to explicitly reference their use. These tools may also include AI functionalities. At HWR Berlin, there is no university-wide list. You can decide whether you want to provide such a list to your students.
An example of a whitelist with tools that contain AI functionalities:
- Word spelling/grammar check
- DeepL Translator (not DeepL Write)
- Duden Mentor
I haven’t yet explored the topic of generative AI (in teaching), how can I get started?
To help you get started with the topic of generative AI, we have compiled a selection of links. There, you will also find materials that specifically address generative AI in teaching.
Additionally, of interest: Once a month, KI-Campus offers Tool-Tip-Tuesday (on the 2nd Tuesday of the month) for those interested, where new AI tools are introduced.
Furthermore, at HWR Berlin, we regularly offer workshops and consultations (see contacts) to support you in implementing generative AI in teaching.
How can I use generative AI in teaching? What specific use cases are conceivable?
A collection of specific use cases for teaching can be found in the handout (in German), which was created as part of the Digital Media in Teaching working group in cooperation with the GMW.
In addition, the BZHL offers possible applications and tools on its website, including for curriculum planning/lesson preparation (in German).
A question that wasn’t answered?
Materials from HWR Berlin
Documents (in German only)
Slides from Events (in German only)
Facheinheitstreffen, Schwerpunkt Hausarbeiten (1/24)
Prüfungsrechtliche Betrachtungen (10/23)
Ein Jahr ChatGPT (12/23)
Testimonials
External ressources
KI-Campus
The AI Campus is a learning platform for artificial intelligence with free online courses, videos and podcasts to strengthen AI and data skills.
In order to use the offers on the AI Campus, you must first register. We would like to recommend the following offers to beginners:
- Videoreihe: ChatGPT – kurz erklärt (in German)
- Online-Kurs: Sprachassistenzen als Chance für die Hochschullehre (in German)
Prompting laboratory
Learning the ability to create effective prompts is important in order to be able to assess the benefits of gen.AI in educational processes. In the prompt laboratory, organised by the University Forum for Digitalization and AI Campus, teachers can acquire knowledge and expand their skills in practical exercises.
- Prompt Lab Generative AI in Higher education: Materialsammlung aus 2023 (in German)
- Prompt Lab University teaching 2.0:Aktueller Kurs 2024 (in German)
- Open Prompting Catalog: Prompt-Katalog (in German)
LLM-Literacy
Understanding language models and using them to research, write and revise texts has become a key skill. The Karlsruhe Insitute of Technology (KIT) has put various offers and materials as part of AI competency projects in information and writing science.
Berlin Center for University teaching (BZHL)
Regarding University teaching with AI ressourcen page of the BZHL.
Events
Nationwide events: Netzwerk Ländereinrichtungen für digitale Hochschullehre
Berlin – wide events: Berliner Hochschulnetzwerk Digitale Lehre (BHDL)
Contact
Below you will find contact persons in the central and decentralized units of the HWR Berlin who will be happy to support you in teaching on the topic of generative AI.
Writing center
- Contact person for AI in the Writing Center: Juliane Strohschein
Departments & BPS
Research assistants support teachers in addition to the topic of generative AI:
- Department 1: Marie Glasemann
- Department 5: Frederic Lenz
- Berlin Professional School: Janine Rischke-Neß