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 | Welcome![]() ![]() |
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![]() ![]() ![]() |
|
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![]() ![]() ![]() |
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11.00-11.30 | Matti Tedre, University of Eastern Finland, Finland: Computing education is not just programming: What *else* does generative AI change? Abstract![]() ![]() ![]() |
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11.30-12.00 | Henriikka Vartianen, University of Eastern Finland, Finland: Generative AI and Transformation of Educational Practices Abstract![]() ![]() |
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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![]() ![]() ![]() |
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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![]() ![]() ![]() ![]() |
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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![]() ![]() ![]() |
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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![]() ![]() |
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14.40-15.00 | Mats Daniels, Uppsala University, Sweden: IT Professionals Use of AI and Implications for Education, Abstract![]() ![]() ![]() |
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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 (mats.daniels@it.uu.se)