Adapting academic integrity policies to incorporate generative AI tools

Simple item page
dc.contributor.authorSehgal, Manish
dc.contributor.supervisorPelton, Tim
dc.date.accessioned2025-12-05T22:17:19Z
dc.date.available2025-12-05T22:17:19Z
dc.date.issued2025
dc.degree.departmentDepartment of Curriculum and Instruction
dc.degree.levelDoctor of Philosophy PhD
dc.description.abstractThe rapid rise of Generative AI (GAI) presents both challenges and opportunities for higher education institutions seeking to uphold academic integrity while embracing technological innovation. This dissertation investigates how top U.S. universities are adapting their academic integrity policies and practices in response to GAI. Through document analysis of 20 institutional policies, surveys of students, faculty, and policy makers, and an autoethnographic reflection on the researcher’s use of ChatGPT, the study provides a multi-faceted view of institutional responses to GAI. The findings reveal alignment across institutions on core ethical principles, but wide variation in policy clarity, specificity, and educational integration. Survey data highlight tensions between stakeholder groups, with students eager to adopt GAI tools but seeking clearer guidance, faculty expressing cautious openness and the need for support, and policy makers prioritizing risk management. The autoethnographic reflection offers insight into the practical and ethical complexities of using GAI in academic leadership. The study concludes that successful integration of GAI requires a holistic approach that combines adaptable policy frameworks with educational initiatives, dialogue, and ongoing review. It calls for higher education institutions to engage in collaborative stewardship of GAI technologies to ensure their responsible and inclusive use.
dc.description.scholarlevelGraduate
dc.identifier.urihttps://hdl.handle.net/1828/22960
dc.languageEnglisheng
dc.language.isoen
dc.rightsAvailable to the World Wide Web
dc.subjectAcademic Integrity
dc.subjectGAI
dc.subjectArtificial Intelligence
dc.subjectEducational Policy
dc.titleAdapting academic integrity policies to incorporate generative AI tools
dc.typeThesis

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Sehgal_Manish_PhD_2025.pdf
Size:
18.93 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.62 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Electronic Theses and Dissertations (ETD)
 
University of Victoria Libraries

We acknowledge and respect the Lək̓ʷəŋən (Songhees and Esquimalt) Peoples on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land continue to this day.