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Artificial Intelligence in Teaching

Artificial Intelligence (AI) also influences digital teaching at the university. Here you will find an introduction to the topic.

What is AI?

Artificial intelligence (AI) is the ability of a machine to mimic human abilities such as reasoning, learning, planning and creativity. This brings challenges and potential. Here you will find a service offering with information about AI.

What is artificial intelligence?

Here is a compilation of interesting links on AI:

There are several projects that are trying to implement AI at universities. Here are some current examples:

  • Fobizz KI Tool
    Fobizz is a paid training platform for teachers in the school sector. It offers a very good paid interface to various generative AI generators. A prompt generator is also integrated, which can be used to easily create prompts for various teaching scenarios.
  • HAWKI Plattform
    The University of Applied Sciences and Arts in Hildesheim, Holzminden and Göttingen (HAWK) is developing the HAWKI platform as part of the Interaction Design degree programme. HAWKI acts as an interface for all university members to generative AI such as ChatGPT or Stable Diffusion. The prototype is based on ChatGPT 3 and is to be made available as open source on GitHub. HAWK uses a fee-based central interface (API) from OpenAI. The data sent via this interface is not analysed by LLM and is deleted after 30 days. The Hochschulforum Digitalisierung presents the project in an article.
  •  The University of Applied Sciences and Arts in Hildesheim, Holzminden and Göttingen (HAWK) is developing the HAWKI platform as part of the Interaction Design degree programme. HAWKI acts as an interface for all university members to generative AI such as ChatGPT or Stable Diffusion. The prototype is based on ChatGPT 3 and is to be made available as open source on GitHub. HAWK uses a fee-based central interface (API) from OpenAI. The data sent via this interface is not analysed by LLM and is deleted after 30 days. The Hochschulforum Digitalisierung presents the project in an article.
  • Ruhr University Bochum is currently trialling the implementation of open-source AI based on Llama 2 in Moodle courses.
  • RWTH Aachen University is trialling the implementation of an open-source AI in a Moodle research instance with the block plugin OpenAI Chat in cooperation with Azure Open AI and Microsoft.

General platforms and collections on AI

In this section you will find materials that you can use free of charge in your teaching, such as comprehensive self-study courses on AI, videos and other tips. You will also find tips on didactic application scenarios and on dealing with AI in university teaching.

"AI in University Teaching" ("KI in der Hochschullehre") is a video series on YouTube by the German association for university didactics (dghd). The videos are by and with renowned researchers and practitioners from higher education on the topic of AI.

  • How do I tell my AI? Background and principles of prompting at ChatGPT
    Teaser text: ChatGPT is an impressive artificial intelligence tool that allows you to communicate in natural language. Depending on how you talk to ChatGPT, you can get complex, substantive or creative responses. This talk will explain the importance of prompting in ChatGPT to guide dialogue with AI. Prompting is an important area also known as prompt competence, prompt engineering or prompt design. Although ChatGPT is currently much discussed, there are many misconceptions and myths that lead to ChatGPT being underestimated. In the lecture, such myths will first be cleared up in order to develop an understanding of "good prompting" and thus enable an optimal use of ChatGPT.
    Speaker: Prof. Dr. Michael Kipp (HS Augsburg)
    Length: 59:21
  • AI is more than text- and image-generating chatbots
    Teaser text: What types of AI are there and how can they be used on a micro, meso and macro level in higher education? In addition to input and discussion, there will be a collaborative part in which a "map" of AI projects in higher education institutions will be collected and made visible.
    Speaker: Prof. Dr. Niels Pinkwart (Humboldt University Berlin), Vice President for Teaching and Learning, Head of the Educational Technology Lab research area at the DFKI in Berlin.
    Length: 55:03
  • Text-generating tools such as ChatGPT make work easier for teachers
    Teaser text: Text-generating tools such as ChatGPT as work relief for teachers - how to use AI-supported tools to prepare your teaching.
    Speaker: PD Dr. Ulrike Hanke
    Length: 1:27:16
  • ChatGPT as a cognitive tool
    Teaser text: This interactive workshop is all about how ChatGPT can be used as a cognitive tool. The focus is on constructive and proactive ideas on how tools like ChatGPT can be used in higher education.
    Speaker: Prof. Dr. Christian Spannagel is professor of mathematics and its didactics with a focus on computer science and the implementation of new media at the Heidelberg University of Education.
    Length: 33:10
  • What are we here for? A value-based reflection and discussion on ChatGPT in research and teaching
    Teaser text: New technologies have always created challenges in teaching. The question is how to constructively incorporate tools like ChatGPT into teaching and use them responsibly. How to pass this on to the students and more will be discussed in this lecture.
    Speaker: Prof. Dr. Gabi Reinmann, Professor for Teaching and Learning at Universities at the University of Hamburg. In her research, she focuses on questions of higher education didactics in relation to new media or design-based research.
    Length: 53:50
  • ChatGPT for Non-Computer Scientists
    Teaser text: ChatGPT for non-computer scientists: Keys to understanding artificial intelligence and its applications in higher education.
    Speaker: Dr. Thomas Arnold, research associate in the field of "Ubiquitous Knowledge Processing" at the Department of Computer Science at Darmstadt University of Technology. In his research, he deals with the possibilities of current language models, as well as with the use of new language and text tools in university teaching.
    Length: 1:27:00
  • What is ChatGPT and how does it work? - And what similar tools are there?
    Teaser text: What is ChatGPT and how does it work? - And what similar tools are there?
    Speaker: Prof. Dr. Doris Weßels, Professor of Business Informatics at Kiel University of Applied Sciences, and co-founder of the Competence Centre "Teaching and Learning Writing with Artificial Intelligence - Tools and Techniques for Education and Science".
    Length: 1:22:59

  • The elements of AI
    The free online courses explain artificial intelligence and answer questions about AI in work and life. In short: What is and can AI do?
    Target group: Teachers, students and interested parties
  • AI in university
    The free online course gives teachers the opportunity to try out and critically question AI language models.
    Target group: Teachers
  • SQB self-study course on AI by Ulrike Handke

  • "The ChatGPT Prompt Book"
    Alan D. Thompson describes how to talk to ChatGPT so that the tool understands what we want in order to get better results. Learn how to get better at prompting and learn about basic and advanced prompts.
  • Learnprompting.org
    Free online courses to learn prompting in english, open source material.

 

  • AI Campus
    A learning platform on artificial intelligence with online courses, videos and podcasts on the topic of AI. The main topics are chatbots & language assistants, data literacy, AI in medicine and AI in schools.
    Target group: Teachers, students and all interested parties.

 

  • TU Berlin
    Redesigning university teaching with artificial intelligence
    The TU Berlin describes a way of dealing with artificial intelligence in university teaching and explains, among other things, the background, working methods and legal framework for working with AI.
  • University of Potsdam
    The University of Potsdam writes about ChatGPT and Co. in university teaching. They explain what ChatGPT is and what it can do. They also give suggestions on how to deal with ChatGPT in teaching.

 

Good practice at the FHP! AI in teaching

Here we present some "good practice" examples on the topic of AI in teaching, from committed teachers at the University of Applied Sciences Potsdam. They are sorted by date of publication. You will always find the most recent contributions at the top of the accordion.

If you would also like to publish an example of your teaching on the topic, please contact us at digitale-lehre@fh-potsdam.de.

The seminar "AI in Film" in the winter semester 2203/24 for Bachelor students of European Media Studies (lecturers: Dr. Katrin von Kap-herr, FHP and Dr. Katharina Rein, UP) deals with the intertwining of media studies and AI in a multi-layered way. It promotes an open approach to AI through interactive discussions, critical reflection and the analysis of specialist literature and media artefacts such as films and series.

The focus is on critically analysing the concept and definitions of AI as well as ethical issues surrounding the use of AI. Practical applications and the use of AI in production are also analysed. The teaching concept contributes to the development of AI skills by enabling students to analyse complex issues, make informed decisions and critically reflect on the impact of AI on society.

Lecturers from the Department of Information Sciences work together in small groups to test and reflect on the potential uses and challenges of generative AI for planning, implementing and evaluating their own teaching in a Prompt Lab, which was developed by the AI Campus as OER material. The Moodle course and the workbook of the Prompt Lab are adapted to specific subjects and needs in dialogue with the Dean's Office and can then be further developed independently by the Department of Information Sciences as OER material and format.

  • Module 1: Planning phase with AI – preparing lessons
  • Module 2: Implementation phase with AI – teaching scenarios
  • Module 3: Evaluation phase with AI – feedback and examinations

Trainer: Julia Lee

Format: Blended learning (approx. 1 hour online and 2 – 3 hours face-to-face per module)

Target group: Lecturers in the Department of Information Sciences at the FHP

Location and further information will be communicated via the Dean's Office of the Department of Information Sciences in the faculty.

This is a model project. If other departments are interested, a 30-minute presentation of the Prompt Lab concept can be requested; for the teaching conference of your own department via digitale-lehre@fh-potsdam.de.

The seminar "AI – but practical by Malte Völkner and Prof. Constanze Langer (Department of Design) dealt intensively with the use of AI in design processes in the summer semester 2023.

The students tested – also experimentally – the use and limits of current AI tools for various phases of a design process – from brainstorming and interface design to storytelling and logo design. They explored topics such as health, music, industrial design, law and education.

About the teaching concept:

The topic of artificial intelligence (AI) is a black box for many. The aim of the seminar was to unravel the secrets of the black box together, to find out what AI can do and to promote cooperation across disciplinary boundaries in classroom teaching.
The focus was always on social interaction at eye level, and classic dichotomies such as lecturer/student or expert/layperson were weakened or reversed.
Workshops with external guests on areas of expertise such as design, computer science, industry, art, ethics and journalism also enabled direct exchange with external AI practitioners to reflect on and understand basic concepts of current AI research (such as Deep Learning, Explainable AI) and to relate them to their own questions and specialist interests.
The learning objective was to develop technical, ethical and subject-specific basic knowledge of AI in order to identify points of contact for cooperative and interdisciplinary AI projects in their own field of work.

Awards:

In 2022, Dr. Katrin von Kap-herr and Dr. Alexander Scheidt received the state teaching award for their seminar "... but you are a robot, aren't you? Artificial Intelligence in Theory and Practice". This was an interdisciplinary Interflex seminar.

Press release on the state teaching award for Dr. Katrin von Kap-herr together with Dr. Alexander Scheidt

About the project:

The offer was developed by the Media Innovation Centre Babelsberg in cooperation with the seminar "AI Escape Room" by Dr Katrin von Kap-herr. The idea: to make the complex topic of AI, including its potential and challenges for the media world, accessible in a playful way. The project was awarded the audience award of the Potsdam prize for science communication in 2022 by proWissen Potsdam e.V..

The "AI.CUBE" is a live escape game with the aim of not only being a game about artificial intelligence (AI), but above all to provide an environment for knowledge transfer about AI and to explore which innovative possibilities for knowledge transfer can arise in an escape room. In workshops with experts and students of european media studies, indicators of gamification, playful media and storytelling were defined and topics related to AI were identified that can be translated into knowledge transfer elements via narrative and (audio-)visual tools. By playing the AI.CUBE - in contrast to commercial Escape Rooms - knowledge about artificial intelligence is conveyed to the players in a vivid and sustainable way.

Press release on the AI.CUBE Escape Room project

Awards:

The AI-Cube project won the 2022 audience award for science communication.

News about the Potsdam audience award for science communication for AI escape game

MaaS L.A.B.S. is a real-world project at the University of Applied Sciences Potsdam to develop a user-centred Mobility-as-a-Service platform with a project duration from may 2019 to May 2023.

The interdisciplinary MaaS L.A.B.S. project team from the social sciences, engineering and economics places transport users at the centre of its research and aims to test technologies and business models step by step in order to avoid planning errors. Four services are interlinked:

  • An app informs the citizens of a city about integrated mobility offers (public transport and sharing offers) and facilitates mobility planning and billing.
  • Intelligent sharing offers complement public transport to create an attractive overall offer that is competitive with private cars.
  • Demand-oriented shuttle buses pick up citizens at their doorsteps and thus improve the accessibility of large neighbourhoods.
  • Control systems ensure the smooth operation of this integrated transport system, which responds to current passenger requests in real time and in line with demand.

Together with the Berlin-based performance group Interrobang, the MaaS L.A.B.S. team invited people to a ride-sharing experiment on artificial intelligence and automated driving on 07 and 08 September 2021 in the north of Potsdam, simulating the use of an AI.

"Soulmachine – The self-learning Robobus" is a mobile interaction game between a group of passengers and an artificial intelligence. Five passengers take a seat in a converted minivan. Via tablet and voice control, they interact with an artificial intelligence and together take control of the vehicle. The machine develops the route and the driving experience from the collective decisions and behaviour of the passengers.

For more information, visit the Maas L.A.B.S. website.

About the project:

The aim of the research and development project "Any-Cubes" was to make it as easy as possible for children to play and experiment with artificial intelligence and networked objects. More information can be found on the project page Any-Cubes – Discovering Artificial Intelligence through Play.

Awards:

The project was awarded the delina-Award 2022 in the category "Early Childhood Education and School" at the LEARNTEC fair in Karlsruhe.

Press release on the delina Award for Any-Cubes

 

Contact

Kontakt

Julia Lee

Julia Lee, M. A. / Diplom

Studies and Teaching Unit
Head of the student e-learning team