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Gymnasieskolors strategiska anpassning till elevers nyttjande av generativ AI: En kvalitativ fallstudie om hur gymnasielärares upplevelser till skolverksamhetens strategier, processer och mål relaterat till generativ AI
Södertörn University, School of Natural Sciences, Technology and Environmental Studies, Informatics.
Södertörn University, School of Natural Sciences, Technology and Environmental Studies, Informatics.
2025 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Upper secondary schools' strategic adjustment tostudent utilization of generative AI (English)
Abstract [sv]

Denna studie undersöker hur gymnasieskolor strategiskt anpassar sina IT- beroende arbetssystem och processer till digital disruption i form av generativ AI. Genom sex djupintervjuer med gymnasielärare har studien kartlagt hur strukturella strategier interagerar med de emergenta lösningar som uppstår i den operativa verksamheten. Resultaten visar att skolorna som är med i studien inte har engagerat sig i en digital omställning för att anpassa skolverksamheten till generativ AI. Det saknas en långsiktig samordnad AI-strategi och investeringar i teknik saknar ofta motsvarande satsningar på kompetensutveckling och pedagogisk anpassning. Bristande teknisk support, otydliga riktlinjer och begränsad fortbildning framstår som centrala hinder för ett hållbart synsätt på användande av generativ AI inom studiens gymnasieskolor. Andra delar som kollegialt utbyte och pilotgrupper pekas även ut som viktiga drivkrafter för lokala framsteg. Uppsatsen lyfter fram behovet av holistiska strategier som integrerar teknisk infrastruktur, sociotekniska processer och kontinuerlig återkoppling.

Abstract [en]

This study examines how upper secondary schools strategically adapt their IT-dependent work systems and processes to digital disruption in the form of generative AI. Through six in-depth interviews with upper secondary teachers, the study has mapped how structural strategies interact with the emergent solutions that arise in operational practice. The results show that the schools participating in the study have not engaged in a digital transformation to adapt school operations to generative AI. There is a lack of a long-term coordinated AI strategy and investments in technology often lack corresponding efforts in professional development and pedagogical adaptation. Insufficient technical support, unclear guidelines, and limited in-service training emerge as central obstacles to a sustainable approach to the use of generative AI within the study’s upper secondary schools. Colleague exchanges and pilot groups are also identified as important drivers of local progress. The thesis highlights the need for holistic strategies that integrate technical infrastructure, sociotechnical processes, and continuous feedback.

Place, publisher, year, edition, pages
2025. , p. 72
Keywords [en]
Emergent strategies, Generative AI, digital disruption, digital omställning, IT-dependent work systems, socio-technical
Keywords [sv]
Emergenta strategier, generativ AI, digital disruption, digital omställning, IT-beroende arbetssystem, socioteknik
National Category
Information Systems
Identifiers
URN: urn:nbn:se:sh:diva-57843OAI: oai:DiVA.org:sh-57843DiVA, id: diva2:1985676
Subject / course
Informatics
Supervisors
Examiners
Available from: 2025-08-18 Created: 2025-07-26 Last updated: 2025-10-07Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • harvard-anglia-ruskin-university
  • apa-old-doi-prefix.csl
  • sodertorns-hogskola-harvard.csl
  • sodertorns-hogskola-oxford.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf