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Dissertation 4.9

Explainable AI Adoption in University Students: Policy And Regulation — A Comparative Perspective

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~ 7–12 mins
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Leadership Epidemiology Energy
Abstract

This dissertation investigates “Explainable AI Adoption in University Students: Policy And Regulation — A Comparative Perspective” using a qualitative grounded theory. Through a institutional lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Explainable AI Adoption in University Students: Policy And Regulation — A Comparative Perspective

ABSTRACT
Explainable AI Adoption in University Students: Policy And Regulation — A Comparative Perspective is unpacked across themes: change enablement, KPIs, security, and scalability. Limitations and future research paths are noted.
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