Revolution in higher education: AI is changing teaching and learning methods!

Revolution in higher education: AI is changing teaching and learning methods!

On March 20, 2025, a new research group was launched to investigate the use of artificial intelligence (AI) at universities. Under the direction of Prof. Dr. Heinke Röbken's focus is on areas of application and the integration of AI in research, administration, studies and teaching. The project is called “KIWIT: Functions and consequences of artificial intelligence in science and university organizations – innovation analysis and transfer development” and is funded with almost two million euros by the Federal Ministry of Research (BMBF), of which around 660,000 euros alone will go to the University of Oldenburg, where the project is headquartered.

The research group brings together around 20 members, including six doctoral students and other research assistants. The aim is to analyze the effects of AI-supported technologies on the science and higher education system, especially in the humanities and social sciences. AI is used as a tool to evaluate large, freely accessible databases in order to gain new information about the scientific system and uncover unknown patterns. The interdisciplinary team plans to develop and test new AI applications using social science methods.

Targeted research at universities

A central element of the research initiatives is the combination of quantitative and qualitative approaches, such as interviews. The creation of a guide for the use of AI in the academic sector, supplemented by further training courses, is also planned. The project duration is set for up to eight years. Annual summer schools are also organized to promote networking within the scientific community. The results of the research should be prepared in publications for a broad target group.

At the same time, the Technical University of Munich (TUM) also promotes innovative approaches in the field of artificial intelligence. As part of a comprehensive AI program, researchers are developing new methods and applications that extend into areas such as autonomous vehicles and medical technologies. The focus here is on interdisciplinary research projects and dialogue with politics and the public. TUM conducts research across numerous institutes and deals not only with the technological aspects of AI, but also with its social effects and ethical issues.

Diversity of AI applications

Artificial intelligence plays an essential role in the digitalization of higher education. How edu-ai.education reports, AI opens up new possibilities in academic teaching, for example through personalized learning offers, automated assessment procedures and support in research. Adaptive learning platforms and virtual tutors adapt lessons specifically to the needs of the students. Automation in administration also improves efficiency and saves valuable resources.

However, challenges in integrating AI into higher education operations include data protection and ethical issues, as well as technological inequalities between institutions and possible biases in algorithms that can lead to unfair results. In order to overcome these challenges, a strategic and responsible use of AI is required.

The acceptance of AI technologies can be strengthened through pilot projects and close collaboration with technology companies. A transparent approach and training for everyone involved is essential to exploit the potential of AI in universities while maintaining the legal and ethical framework.

Overall, the various initiatives from institutions such as the University of Oldenburg and TUM show that AI can not only optimize academic operations, but also provide key technologies for the future of education. The strategic use of AI has the potential to make universities more innovative and inclusive and help them meet the challenges of digital transformation.