Long night of homework: AI tools are revolutionizing studying!

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On March 6, 2025, the University of Frankfurt invites you to the “Long Night of Postponed Homework”. Workshops and AI tools support students.

Am 6. März 2025 lädt die Uni Frankfurt zur "Langen Nacht der aufgeschobenen Hausarbeiten" ein. Workshops und KI-Tools unterstützen Studierende.
On March 6, 2025, the University of Frankfurt invites you to the “Long Night of Postponed Homework”. Workshops and AI tools support students.

Long night of homework: AI tools are revolutionizing studying!

On March 6, 2025 the “Long night of postponed chores” (LNDAH) will take place in the Humanities Library Center in Frankfurt am Main. From 6 p.m. to midnight, students from all disciplines and study phases, including doctoral students, can take part in this hybrid event, which will take place both face-to-face and digitally. The focus of the LNDAH is on the integration of artificial intelligence (AI) into scientific work, a topic that is currently being discussed at many universities.

The program includes a diverse range of offerings, including a panel discussion on personal experiences with AI and various workshops, such as literature research with AI and correcting foreign language texts. There are also options for individual advice and peer feedback to help participants improve their writing skills. The event will be followed by a writing week in the library center, starting March 10 at 9 a.m.

The context of AI use in science

The term “artificial intelligence” is complex and encompasses various methods and applications that are recognized within the professional community. According to the European Parliament as part of the Definition of AI, this refers to a machine's ability to mimic human abilities such as logical thinking, learning, planning and creativity. The use of AI tools is increasingly seen as a valuable tool for students to complete specific tasks more effectively and efficiently.

However, the use of AI also brings challenges. The University of Osnabrück calls for a critical and reflective attitude towards generative AI applications. Students should not be forced to use this technology. Instead, it is recommended to communicate clear expectations regarding independence and to make the documentation of the use of AI more transparent. Data protection plays a central role here, especially when it comes to entering personal data.

Further events to promote AI in studies

Parallel to the LNDAH there is also the University of Heidelberg a similar event took place. The 12th “Long Night of Homework” offers students the opportunity to explore new methods to support writing projects on February 27th from 5:00 p.m. in the main library. The thematic focus is the use of AI tools to support research and writing.

The opening lecture is entitled “Prompts vs. scientific writing – opportunities and challenges of AI” and will be given by Prof. Vincent Heuveline, Managing Director of the Computing Center at Heidelberg University. There are also individual consultation appointments, workshops and self-study courses that offer students practical tools and a critical view of the use of AI.

These initiatives demonstrate the growing interest and need to appropriately integrate AI in higher education. The dialogue about the opportunities and risks of these technologies will continue to be the focus of the academic community.