At the centre of the project is the tumtutor.ai system developed at the Technical University of Munich (TUM), which was launched in November 2024 and is now being made available to other institutions under the name OneTutor. The innovative tool combines chat and quiz functions and allows students to ask and receive questions about lecture content and receive AI-generated answers directly. The response has been overwhelming: within three months of its first use, over 3,000 students have already used the system, sending more than 50,000 chat messages and answering over 100,000 quiz questions.
Bavaria becomes a real-world laboratory for AI in teaching – ten innovation partners involved
Just in time for the start of the summer semester at the universities, the “AIffectiveness in Education” project is rolling out the AI tutor throughout Bavaria. The technical infrastructure and resources, such as support from student assistants, are being provided for this purpose. In addition to bidt, nine other innovation partners are already involved:
- The Ostbayerische Technische Hochschule Amberg-Weiden (OTH)
- Aschaffenburg University of Applied Sciences
- Rosenheim University of Applied Sciences
- The Virtual University of Bavaria (VHB)
- Weihenstephan-Triesdorf University of Applied Sciences (HSWT)
- The University of Augsburg
- The University of Bayreuth
- Ludwig-Maximilians-Universität München (LMU)
- The Technical University of Munich (TUM)
The bidt coordinates the accompanying scientific research. This aims to investigate the effects of AI-supported teaching on learning success in a real-life laboratory throughout Bavaria.
The extraordinary enthusiasm of the students for the AI assistance system onetutor.ai last semester surprised us and is a strong signal for the potential of this technology. However, we need reliable scientific findings for a sound evaluation of learning success. With this project, we are creating the basis for recording and optimising the real added value of AI in teaching. We are delighted that so many partners have joined us to proactively help shape the future of education in Bavaria as a centre of AI research and higher education.
Prof. Dr. Alexander Pretschner To the profile
How can learning success be measured? Investigating the effectiveness of AI assistance systems
In collaboration with the participating universities, the bidt will develop methods for evaluating effectiveness, analyse usage data and systematically record feedback from teachers and students. The aim is to analyse whether the use of OneTutor improves grades, makes learning more sustainable or, for example, reduces drop-out rates in beginners’ lectures. And whether the enjoyment of learning has an influence on educational progress.
Participating educational institutions can use the system free of charge in different subjects, courses and semesters. The use of onetutor.ai is anonymous. Lecturers provide the input and curate the AI questions; conversely, they receive insights into frequently asked questions about their lectures.
Theory and practice combined: KI-Tutor was developed by students for students
An initial version of the system was developed as part of a student internship at TUM. The initiative to professionalise the assistance system came from the students themselves. Five students are continuing to develop the tool under the supervision of Professor Pretschner at his Chair of Software & Systems Engineering at TUM.
The Bavaria-wide project is to run for at least three years and make a decisive contribution to the use and benefits of artificial intelligence in university teaching.
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Prof. Dr. Alexander Pretschner
Chairman of bidt's Board of Directors and the Executive Commitee | Chair of Software & Systems Engineering, Technical University of Munich | Scientific director, fortiss
