Challenges to Academic Integrity from New Tools - A Survey of Students' Perceptions and Behaviors of Employing ChatGPT

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dc.contributor.author Bergström, Joel
dc.contributor.author Repo, Vilko
dc.contributor.author Tuunainen, Virpi
dc.date.accessioned 2023-12-26T18:35:49Z
dc.date.available 2023-12-26T18:35:49Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other bf1b1000-2f97-4c1b-8505-196ba42a2e7c
dc.identifier.uri https://hdl.handle.net/10125/106385
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Advances in Teaching and Learning Technologies
dc.subject academic integrity
dc.subject artificial intelligence
dc.subject business school students
dc.subject chatgpt
dc.subject survey
dc.title Challenges to Academic Integrity from New Tools - A Survey of Students' Perceptions and Behaviors of Employing ChatGPT
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract In this study we look at business school students’ perceptions and behaviors concerning new artificial intelligence tools. These tools have the potential to change productivity in students’ academic endeavors, but also lead to cheating either through fabrication or withdrawing information of the source of the work. To explore the students’ perceptions and behaviors we used previous academic dishonesty questionnaires and augmented them with ChatGPT specific elements. Our results show that students approve usage of these tools in certain situations, but they are also concerned about the rampant use and its potential negative consequences for learning and skills gained during studies. We conclude that that technological advancements in the form of AI tools like ChatGPT have the potential to blur the line between acceptable and unacceptable behavior from a student's perspective, and develop the Ethics-Frequency Spectrum Framework to visualize this.
dcterms.extent 10 pages
prism.startingpage 74
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