Thesis Supervision and Generative AI
A seminar in English with Elizabeth Olsson, Unit for Academic Language (ASK).
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, see “preparation” below.
Spring 2026
Date and time: Wednesday 4 March, 13:00–15:00
Location: Pedagogen Hus A, room A2 311, Västra Hamngatan 25.
Preparation
To get the most out of this seminar, you need a basic understanding of generative AI and the University’s guidance for teachers on generative AI. If you would like to deepen or refresh your understanding before the seminar, the following materials can help:
- AI-generated material in higher education
- Guidance for teachers on using generative AI in higher education (PDF)
- Guidance on the use of generative AI tools (Staff Portal, login required)
About Elizabeth Olsson
Elizabeth Olsson works as a language and writing advisor at the Unit for Academic Language (ASK). She has been supporting students, teachers, and researchers in all faculties and departments in making informed decisions about if, when, and how they use generative AI since spring 2023.