Measuring the impact of generative AI in higher education
The AIffectiveness project investigates how AI tutors like OneTutor influence student learning behavior and academic success across Bavarian universities.
From hype to evidence-based learning
Generative AI is already firmly embedded in students' daily lives — for research, summarizing materials, and writing. Universities are now taking the next step: integrating these tools directly into teaching. The AIffectiveness project, led by the Bavarian Research Institute for Digital Transformation (bidt), looks beyond speculation to examine the actual impact of these tools.
A multi-dimensional research approach
Using OneTutor, an AI assistant developed at the Technical University of Munich (TUM), as a concrete case study, we accompany the rollout and use of generative AI across a wide range of courses. Our goal is to generate evidence-based insights into where AI tutors meaningfully improve the learning experience, and where they still need to evolve.
We don't believe in a simple "yes or no" when it comes to AI effectiveness. Instead, we analyze the specific context: group size, subject area, and the balance between factual knowledge and critical reasoning.
- Real-world deployment: Analyzing usage across 10 universities, from large lectures to small seminars.
- Quantitative surveys: Collecting data on student usage habits and faculty feedback at regular intervals.
- Usage Analytics: Incorporating direct data from the "OneTutor" system to correlate engagement with learning outcomes.
- Trust & Co-Creation: Investigating how trust in AI systems evolves over time among students and faculty.
„I hope that by the end we will understand exactly where these systems are useful and where they are not. It's not just about whether it works, but in what context — large lectures versus small seminars, or fact-based disciplines versus argumentative ones.“
Prof. Dr. Alexander Pretschner - Ex-Chair of the bidt Board of Directors & Professor of Software & Systems Engineering, Technical University of Munich
Partner institutions
- Technische Universität München
- Ludwig-Maximilians-Universität München
- Virtuelle Hochschule Bayern (vhb)
- Technische Universität Nürnberg
- Technische Hochschule Rosenheim
- Universität Augsburg
- Ostbayerische Technische Hochschule Amberg-Weiden
- Universität Bayreuth
- Hochschule Weihenstephan-Triesdorf
- Technische Hochschule Aschaffenburg
An AI Tutor Goes to Class: First Results
A new study examines how students and instructors at ten Bavarian universities experienced OneTutor during the summer semester 2025. The results show that most instructors see it as a useful addition to their teaching, while students primarily use it for exam preparation.
Summer Semester 2025: the first evidence on AI tutors in higher education
First results from an ongoing independent bidt study evaluating OneTutor across 84 courses at 10 Bavarian universities during Summer Semester 2025, with 31 lecturers and over 1,500 student responses. 86% of students found it helpful for exam preparation and 84% of lecturers would deploy it again. Read the full case study for the methodology, satisfaction metrics, and what these early findings mean for AI in higher education.
“We want to understand where AI tutors can be put to good use”
In this interview, Prof. Dr. Alexander Pretschner discusses the development of OneTutor and its role in higher education. He explores how AI can assist lecturers, personalize student learning, and why evidence-based research is crucial for understanding the true effectiveness of these tools.
Bavaria becomes a real-world laboratory for AI in teaching
Ten Bavarian universities are partnering with the Bavarian Research Institute for Digital Transformation (bidt) to test AI in lecture theaters. This project investigates the actual learning success of the OneTutor AI system in real-world educational settings to move beyond mere speculation about its efficacy.
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