Revolution in university formation: New SFB brings AI to your studies!
Revolution in university formation: New SFB brings AI to your studies!
A new Collaborative Research Center (SFB) at the Ludwig Maximilians University in Munich (LMU) in cooperation with the Technical University of Munich (TUM) receives support from the German Research Foundation (DFG). The SFB entitled "Simulation-Based Learning in Higher Education: Advancing Research on Process Diagnostics and Personalized Interventions (Sharp)" aims to promote simulation-based learning in university formation. The focus is on the development and design of simulations that can diagnose competencies such as collaborative and promote complex problem solving. This interdisciplinary SFB combines disciplines from medicine, biology, chemistry, computer science, mathematics, physics, educational science and psychology
artificial intelligence (AI) plays a central role in recording the level of competence of the students and adapting the simulations to individual needs. Another important field of research within the SFB is which skills require specialists to effectively integrate personalized, simulation -based learning into the curriculum. The project thus represents a significant step in educational research and is the first SFB to specifically develop the basics for innovations in university formation. In addition to the two universities, the University of Augsburg and the Leibniz data center are also involved in the project, which underlines the broad interdisciplinary orientation. OTS reports that these measures are significant progress for university teaching.
AI in medicine and university education
In parallel to these developments in university formation, medicine also sees itself with new challenges due to digitization and the use of AI. According to information from the ptb , the application of AI is increasing in the health sector, especially in the area of imaging procedures. In 2019, 675 Exabytes of image information were generated in radiology, but only about 7 % of them are actually used for medical purposes. This enormous amount of data presents medicine before the challenge of using AI technologies effectively, for example to support complex diagnoses.However, the use of such technologies also requires trustworthy quality infrastructures that are currently still incomplete. As part of its strategy on metrology for AI, PTB plans to actively address these challenges and to promote the importance of AI applications in medical practice.
funding initiative of the BMBF for AI in university education
The Federal Ministry of Education and Research (BMBF) has promoted the use of artificial intelligence in university formation since the end of 2021. The aim is to support projects for the development of courses and intelligent assistance systems through the federal-state initiative "Artificial Intelligence in Higher Education". According to the educational server, a variety of political strategies and initiatives are dealt with in order to further develop the technology and implement them in university formation. This also includes the development of AI-based learning and examination systems.
In various research projects, the actors work on innovative solutions to promote digitization in study and teaching. Examples of this are the AI campus that develops a platform for online courses and materials into AI, as well as various chatbots that serve as support instruments for students. The this in this regard BildungsServer emphasizes that these developments are viewed as a key technology in university formation.
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| Ort | München, Deutschland |
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