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On November 3, the group met virtually and on site at the Berlin offices of CATALPA cooperation partner DFKI. The aim of the workshop was to discuss a use case of the AI.EDU 2.0 project with the experts. As part of the project, the researchers are investigating, among other things, how they can use AI and recommender systems to better support and guide students in choosing a research topic and generating their research question.

Prof. Dr. Jie Lu, Director of the Australian Artificial Intelligence Institute at the University of Technology in Sydney, began by explaining the range of fields of application and current methods. Concrete ideas for the use case were developed by Sunhao Dai from China with the use of large language models, Dr. Christian Weber building on his expertise of developing, semantically enriched knowledge maps and Dr. Yong Zheng, from the USA, on the basis of multi-criteria decision making. The discussions led to a constructive debate about the combination and compatibility of different recommender methods in the chosen teaching/learning setting. "For our project, we learned that our plan to first test individual methods and then combine them is easy to implement. The combined expertise generated many new ideas that will certainly take our research a step forward," concludes Silke Wrede, a member of the AI.EDU project team. The exchange is set to continue in the future.