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The Transparency Issue of a Black Box: Exploratory research study on AI communication in higher education to explore students’ perceptions of transparent AI use and disclosure practices
Jönköping University, School of Education and Communication.
2026 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Sustainable development
Sustainable Development
Alternative title
The Transparency Issue of a Black Box : Exploratory research study on AI communication in higher education to explore students’ perceptions of transparent AI use and disclosure practices (English)
Abstract [en]

The increasing role of generative artificial intelligence (GenAI) in higher education has prompted universities to introduce guidelines promoting responsible use and transparent disclosure of AI-assisted academic work. However, it remains unclear whether and to what extent such institutional guidelines provide students with practical and pedagogical guidance. The study addresses this policy-practice gap by examining students’ perspectives on existing AI guidelines and their pedagogical enactment. Using a mixed-method approach, the study followed a three-stage process comprising a pre-intervention survey, a pedagogical intervention, and a post-intervention survey. Thirty-one students from diverse study backgrounds, enrolled in two German courses at a Finnish university, participated in the study and evaluated an approach designed to support the transparent disclosure of GenAI. The analysis adopts the three dimensions of Chan’s (2023a) AI Ecological Education Policy Framework: Pedagogical, Operational, and Ethical. The aim is to examine students’ perceptions of AI in higher education, their compliance with transparency requirements, and actual disclosure practices. The findings unravelled three distinct student positioning patterns: (1) rejection of AI use and distrust toward AI systems, (2) conditional acceptance accompanied by ethical and operational uncertainty, and (3) pragmatic and confident AI use. While the quantitative results indicated a general awareness of institutional AI guidelines, qualitative responses revealed a lack of clarity, consistency, and practical examples regarding the use and disclosure of GenAI in academic contexts. This lack of guidance contributed to uncertainty, concerns about unintentionally violating academic expectations, as well as distrust regarding the legitimacy of AI use. Overall, the study demonstrates that the effectiveness of institutional AI policies depends not only on their existence but also on their pedagogical enactment through assessment design and reciprocal communication between teachers and students.

Place, publisher, year, edition, pages
2026. , p. 56
Keywords [en]
transparency, AI guidelines, academic integrity, black box, AI communication
National Category
Educational Sciences
Identifiers
URN: urn:nbn:se:hj:diva-73754OAI: oai:DiVA.org:hj-73754DiVA, id: diva2:2099592
Subject / course
HLK, Education
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Examiners
Available from: 2026-09-16 Created: 2026-09-08 Last updated: 2026-09-16Bibliographically approved

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3435363738394037 of 55
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
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf