- University of Glasgow, School of Geographical & Earth Sciences, UK (elizabeth.petrie@glasgow.ac.uk)
The capabilities and widespread availability of generative AI are potentially changing ways of working and studying. However, there are a lot of pitfalls and ethical questions to complicate use. Postgraduate taught (PGT) students typically study at the University of Glasgow for 12 months. They come from a wide range of institutions, where rigorous academic citation of information may not have been previously covered. Students have also been falling into the trap of AI hallucinations and losing academic integrity as they don’t realise generative AI can’t be relied upon. With this in mind a workshop was designed and run in Autumn 2025 to discuss finding reliable sources of information, how to manage/store information you find during research (including citation information), how to cite information correctly, and why this is important. The workshop included an explanation of Generative AI and student discussions on generative AI use and ethics. This work will discuss the workshop and reflect on what went well and what could be further improved. We need students to have a solid understanding of what generative AI can and can’t do, and the ethical background to decide if and when to use it, during their studies and in their future careers.
How to cite: Petrie, E.: Integrating Generative AI into good academic practice: a workshop for PGT students on sourcing, managing and citing information and Generative AI, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13848, https://doi.org/10.5194/egusphere-egu26-13848, 2026.