Generative AI and Teachers - For Us or Against Us? A Case Study
2024 (English)In: 14th Scandinavian Conference on Artificial Intelligence SCAI 2024 / [ed] Florian Westphal, Einav Peretz-Andersson, Maria Riveiro, Kerstin Bach, Fredrik Heintz, Linköping University Electronic Press , 2024, p. 37-43Conference paper, Published paper (Refereed)
Abstract [en]
We present insightful results of a survey on the adoption of generative artificial intelligence (GenAI) by university teachers in their teaching activities. The transformation of education by GenAI, particularly large language models (LLMs), has been presenting both opportunities and challenges, including cheating by students. We prepared the online survey according to best practices and the questions were created by the authors, who have pedagogy experience. The survey contained 12 questions and a pilot study was first conducted. The survey was then sent to all teachers in multiple departments across different campuses of the university of interest in Sweden: Luleå University of Technology. The survey was available in both Swedish and English. The results show that 35 teachers (more than half) use GenAI out of 67 respondents. Preparation is the teaching activity with the most frequency that GenAI is used for and ChatGPT is the most commonly used GenAI. 59% say it has impacted their teaching, however, 55% say there should be legislation around the use of GenAI, especially as inaccuracies and cheating are the biggest concerns.
Place, publisher, year, edition, pages
Linköping University Electronic Press , 2024. p. 37-43
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686, E-ISSN 1650-3740 ; 208
National Category
Didactics
Research subject
Machine Elements
Identifiers
URN: urn:nbn:se:ltu:diva-110803DOI: 10.3384/ecp208005OAI: oai:DiVA.org:ltu-110803DiVA, id: diva2:1915790
Conference
Scandinavian Conference on Artificial Intelligence SCAI 2024, June 10-11, 2024, Jönköping, Sweden
Note
Fuulltext license: CC BY;
ISBN for host publication: 978-91-8075-709-6
2024-11-252024-11-252025-10-21Bibliographically approved