The course will provide an overview of state-of-the-art research on leveraging generative AI to enhance education. We will cover a broad set of research papers and topics inspired by the NeurIPS'23 workshop we organized (workshop link: https://gaied.org/neurips2023/). The course consists of three main components as follows:

• Research papers: During the first half of the semester, students will be assigned up to six research papers and have to write a short report for each paper. These reports will be due during the semester, about one report per week.
• Project: During the second half of the semester, students will work on a project.
• Final presentation: At the end of the semester, students will give a presentation on one of the papers and the project.

The course will be similar to the seminar course we offered in the Summer Semester 2024 (course link: https://machineteaching.mpi-sws.org/course-gaied-s24.html). The set of research papers will be updated to cover more recent results. In the previous year, the course was taken by a diverse set of students, both from the Department of Educational Technology and from the Department of Computer Science.

There will be no weekly classes. We will schedule regular office hours where students can receive feedback on their reports or projects. There are no formal requirements. To get started, you should register your interest in the seminar course at https://seminars.cs.uni-saarland.de.

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