Interview with Prof. Dr. Christina Bauer

Prof. Dr. Christina Bauer studied Information Science at the University of Regensburg until the end of 2012. After completing her master’s degree, she worked as research assistant at the Chair for Information Science. There she worked on various projects on intelligent navigation systems. Her teaching particularly focused on software design and evaluation. In addition to research and teaching, she was the coordinator of the new master’s course “Digital Humanities”. After her dissertation on the topic “Supporting orientation in the interior: Analysis of landmark-based map interfaces based on the gaze behavior of users”, she left the University of Regensburg in 2018 to gain experience in the private sector. On October 1st, 2020 she was appointed professor for Artificial Intelligence and Digital Teaching at the TH Deggendorf.

You can read the entire article, on which this description is based, here.

Question 1: Ms. Bauer, at which chair/institute at the University of Regensburg did you work? Which subject(s) did you mainly teach?

I was an employee of the Chair for Information Science. My courses mainly focused on software design and evaluation.

Question 2: Where do you work now? What is your position there?

I am now professor for Artificial Intelligence and Digital Teaching at the TH Deggendorf.

Question 3: On which subjects you now mainly teach? Or on which subject(s) your courses are focused on?

I now mainly teach Machine Learning and Assistance Systems.

Question 4: "Knowledge creates² data" is a cross-faculty project at the University of Regensburg. It combines research efforts in the areas of Big Data, Artificial Intelligence and Machine Learning. How do your events relate to AI? Please describe this reference to us. (Please give us example events/example topics)

I am now professor for Artificial Intelligence and Digital Teaching at TH Deggendorf – I think the reference is clear 😉

Question 5: How do you convey this relationship to the students? What do you have to pay particular attention to with regard to various prior knowledge?

At the THD, you can graduate a bachelor’s degree in Artificial Intelligence. So here the previous knowledge is determined by the curriculum. When I offer courses for other degree programmes, I always try to require as little prior knowledge as possible so that as many students as possible can take part.

Question 6: Building on this, which specialist skills does the student acquire in the course?

Question 7: Why do you think it makes sense to convey AI-related topics to students?

Artificial Intelligence is a central topic on the high-tech agenda and in science and research in general. Definitely no one can ignore this topic in the future.

Question 8: In addition to the courses you hold, you are also involved in research. What are you currently doing here?

I develop intelligent digital teaching and learning environments.

Question 9: Have you already done research on topics that are related to AI? If so, can you give us an example?

At the University of Regensburg, for example, as part of my master’s thesis, I developed a system that uses smartphone sensor data to predict the current pressure on drivers.

Question 10: Now a question about your personal background. What experiences do you have in the field of AI? And how did you acquire your knowledge of AI? (Example: training, self-study, etc.)

I mainly acquired my knowledge through self-study. That’s why I find a fortiori important that this content is conveyed systematically.

Question 11: Do you personally find it easy or difficult to deal with topics that are related to AI?

It’s not always easy, but always exciting.

Question 12: What exactly do you find interesting/fascinating about such topics?

The new developments show that software can provide assistance in all areas of life with the help of artificial intelligence – from summarizing course content to intelligent care robots. In addition, this also poses many interesting social questions: How do we want to live in the future?

Question 13: Ms. Bauer, are there currently projects in which you are collaborating with other lecturers across disciplines? If so, can you give us an example of this? And how is the connection to be assessed?

Question 14: What is your ideal vision for the future role of AI in higher education? What could be the biggest change compared to the status quo in the future?

In addition to the specific courses on artificial intelligence, all students should definitely have the opportunity to acquire knowledge on these topics.

Question 15: What do you think about the “Knowledge creates² data” project at the University of Regensburg?

This project is an important step towards anchoring this important topic at the University of Regensburg.

Question 16: In your opinion, are there any other aspects that you consider important in this context and that were not addressed in this interview?

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Ms. Bauer, thank you very much for taking the time to answer these questions. We wish you a nice day!

Interview with Prof. Dr. Christina Bauer

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