THISuccessAI completed

President of THI Professor Walter Schober emphasised the importance of digital innovations for teaching at the opening ceremony and stressed that digital options are being used specifically to supplement classroom teaching and provide students with even more individual support outside of the time of attendance.

The project was funded by the Foundation for Innovation in University Teaching with 5.2 million euros and ran from August 2021 to December 2025. 20 professorships and 15 employees from four clusters were involved, who jointly developed the central components of THISuccessAI: AI-based learning paths, a recommendation system, integrated dashboards for lecturers and students, a modern Markdown editor, learning analytics tools, and more than 2,000 learning nuggets in various difficulty levels and formats. In addition, the digital learning assistant Thim, which supports students in navigating through content, was further developed.

After the welcome address, Professor Hans-Joachim Hof, overall project manager and Vice President for Teaching and Students and Alumni, led through the programme of the final event and classified the significance of the results. He explained: "For the first time, THISuccessAI enables us to use learning analytics to suggest personalised learning paths to students that can be flexibly adapted to their learning preferences, prior knowledge, and learning pace. This makes academic study more customised and individual for students, even with increasingly heterogeneous starting conditions. The close integration of technical developments with didactic concepts and the integration into our existing learning management system Moodle creates a solution that offers real added value in everyday university life and is very well received by students. THIsuccessAI strengthens teaching and helps students cope better with demanding modules. The students perceive THIsuccessAI as real added value that increases their chances of passing the difficult exams in particular."

The specialist contributions from the participating teams included the development of learning paths, the data-based preparation of learning processes, new course room formats, and the use of AI-supported processes to recommend content. The very detailed accompanying evaluation showed a high level of acceptance among the students: Many feel that the platform makes their academic studies easier, would recommend it to others, and plan to use it regularly in the future.

Participants then had the opportunity to try out the platform for themselves and talk to the technical, teaching, and implementation teams. This was followed by an exchange of experiences in which all sub-projects had their say once again and shared both positive and challenging experiences from the project in order to learn from them for future projects. Professor Hans-Joachim Hof concluded the event with a heartfelt thank you to all those involved.