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Department of Information Technology

Generative AI: Implications for Teaching and Learning

November 13, 2023

Generative AI tools, based on the Large Language Models (LLMs), have changed the playing field for education, and will continue to do so. Initially, from a teaching perspective, with a focus on the impact on how we assess our students, but other issues, such as ethical considerations and which opportunities the technology opens up, soon followed. It is likely that we need to re-evaluate how we teach and, more challenging, also what we teach in the light of what students should learn at an extraordinary level. We will in this event address "How should we as educational institutions take advantage of the strong emergence of generative AI tools to support the development of competencies that different student cohorts should acquire?".

The event was arranged by Uppsala Computing Education Research Group (UpCERG), MINT, the Equal Opportunities Group at the Department of Information Technology, and the Faculty of Technology and Natural Sciences at Uppsala University. The presenters are among the top in the computing education research field and the presentations were relevant for educators in general and especially in the natural science and engineering area.

Time (CET - Central European Time) Description Venue
9.30-10.00 Coffee Å90103
9.45-10.00 Welcomerecording Å90103
10.00 - 12.00 Session 1: Overarching topics (competencies, opportunities and challenges) Å90103
10.00-10.30 Roger McDermott, Robert Gordon University, UK: Some Philosophical Implications of Generative AI for Computing and Engineering Education Abstract, Slides, Recording
10.30-11.00 Natalie Kiesler, Leibniz Institute for Research and Information in Education, Germany: Beyond the Textbook: Rethinking Students’ Competencies in the LLM Era Abstract, Slides, Recording
11.00-11.30 Matti Tedre, University of Eastern Finland, Finland: Computing education is not just programming: What *else* does generative AI change? Abstract, Slides Suggested Resources
11.30-12.00 Henriikka Vartianen, University of Eastern Finland, Finland: Generative AI and Transformation of Educational Practices Abstract, Slides
12.00-13.00 Lunch
13.00-15.00 Session 2: Topics seen from specific contexts Å80101
13.00-13.25 Barbara Ericson, University of Michigan, USA: Using LLMs to generate personalized assignments and explanations Abstract, Slides, Recording
13.25-13.50 Mark Guzdial, University of Michigan, USA: What liberal arts and sciences students should know about Generative AI: The Case of Alien Anatomy Abstract, Slides, Recording Suggested Resources
13.50-14.15 Virginia Grande, Uppsala University, Sweden: Student perspectives on using a Large Language Model (LLM) for an assignment on professional ethics Abstract, Slides, Recording
14.15-14.40 Nickolas Falkner, University of Adelaide, Australia: A two-pronged approach to familiarising students with ethical issues around generative AI, Abstract, Slides, Recording
14.40-15.00 Mats Daniels, Uppsala University, Sweden: IT Professionals Use of AI and Implications for Education, Abstract, Slides, Partial recording
15.00-15.30 Coffee Å80101
15.30-16.30 Panel discussion: Consequences of the overarching issues Å80101
16.30-17.00 Concluding remarks/Wrap-up Å80101

If you have questions, please contact Mats Daniels (

Updated  2023-12-11 23:52:04 by Mats Daniels.