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Thesis Supervision and Generative AI
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The use of generative AI applications by students during thesis writing presents new challenges for supervision. Supervisors often work with several students at once and are not always aware of how students approach thesis work. The use of generative AI models can make it even more difficult to understand how students are engaging with key parts of the process, such as developing research problems, identifying and reading sources, and writing their texts. This seminar supports thesis supervisors in responding to these developments. We will begin with an overview of relevant research on generative AI in higher education, examine how and why students typically use generative AI, and discuss supervision strategies. The seminar will support thesis supervisors in: · Discussing the risks and opportunities of using generative AI with the students they supervise · Supporting students in making informed decisions about if, when, and how they use generative AI throughout the thesis writing process. The session includes practical examples, discussion, and opportunities to share teaching experiences across disciplines. Language: English Level: Advanced; for more information, please read the“preparation” section on the seminar webpage (see link under "Further information" on the right). |
Contact Arranged by Participants Read more about the seminar on the PIL website |
Seminarium
| Start date | Time | Address | Seats remaining (total) | Last day of registration | |
|---|---|---|---|---|---|
| Register | 2026-03-04 | 13.00-15.00 | A2 311, second floor, House A, Pedagogen, Västra Hamngatan 25 | 15 (36) | 2026-02-27 |