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Industrial engineering and management students envision AI's role in the industry
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
Clear Street Markets LLC, NY, New York, United States.
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
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2023 (English)In: 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEE, 2023, p. 903-907Conference paper, Published paper (Refereed)
Abstract [en]

This study explores the perceptions of master's program students in Industrial Engineering and Management (IEM) at Umeå University, Sweden, concerning the current and future impact of artificial intelligence (AI) on their discipline. Employing a descriptive, cross-sectional survey design, we collected quantitative data from participants asked to assess AI's influence on decision-making, human-computer interactions, and information management, among other areas. While ordinal regression analysis revealed no significant correlation between the student's academic year and their survey responses, a Wilcoxon signed-rank test indicated a statistically significant belief that AI's impact on all surveyed areas would intensify within the next decade. Our findings suggest a need for engineering education to evolve to adequately equip future professionals for the expanding influence of AI in IEM. Furthermore, the results add to the ongoing discussion of AI's role in engineering education and the broader industrial engineering and management field.

Place, publisher, year, edition, pages
IEEE, 2023. p. 903-907
Keywords [en]
AI impact, Artificial intelligence, Curriculum improvement, Engineering Education, Industrial Engineering and Management, Prompt engineering, Student perceptions
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:umu:diva-221850DOI: 10.1109/IEEM58616.2023.10406717Scopus ID: 2-s2.0-85186075235ISBN: 979-8-3503-2315-3 (electronic)ISBN: 979-8-3503-2316-0 (print)OAI: oai:DiVA.org:umu-221850DiVA, id: diva2:1843823
Conference
2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023, Singapore, Singapore, December 18-21, 2023
Available from: 2024-03-12 Created: 2024-03-12 Last updated: 2024-03-12Bibliographically approved

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Åhag, PerHed, LisaNordenfors, Oskar

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf