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Reimagined Worlds: Sociotechnical Imaginaries Of Generative AI Within An Educational Institution
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Business Studies.
2026 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Educational institutions are undergoing transition, as students, and educators increasingly adopt generative AI. Therefore, it is important to examine stakeholders' perspective and their interpretations of safe, ethical, and responsible AI. Undertaking a micro-ethnographic case study, this study contributes to the literature in three ways. Along with an empirical study, it highlights students’ perspectives that remains underrepresented. The study also presents empirical evidence of a ‘distributed-constitutive pathway’ of imaginary formation, based on the human-GenAI relationship. A discourse thematic analysis identified three sociotechnical imaginaries – about technology, human-GenAI relationship and education. A narrative about the environmental cost of GenAI was also identified. The first and second imaginary shape institutional policy and practice and operate on the global technological movement. The third imaginary is aligned with policy but resisted by the other two imaginaries. Key findings indicate that the technological movement manifests as a sense of technological inevitability. It causes policy to be reactive and creates gaps between policy and the lived experience of students. A promising bridge between is found to be AI literacy. Together, these suggest that the safe, responsible, and ethical use of GenAI is a contested, negotiated, complex, and coproduced process within the institution.

Place, publisher, year, edition, pages
2026. , p. 59
Keywords [en]
artificial intelligence, AIEd, generative AI, GenAI, micro ethnography, case study, sociotechnical imaginaries, science and technology studies, STS
National Category
Business Administration
Identifiers
URN: urn:nbn:se:uu:diva-592788OAI: oai:DiVA.org:uu-592788DiVA, id: diva2:2080680
Subject / course
Business Studies
Educational program
Master Programme in Sustainable Management
Supervisors
Examiners
Available from: 2026-07-01 Created: 2026-06-27 Last updated: 2026-07-01Bibliographically approved

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Master's thesis_Shreelakshmi_Dinesh(896 kB)68 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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