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Empowering the AI-Literate Learners: Evaluating the Intersection of Digital Governance and Academic Integrity

Joe Mutebi Brian Mugisha Ibrahim Adabara Tukur Muhammad
Aug 2026 · F1000Research · 0 citations · 36 references

TL;DR

It is concluded that in order for undergraduate education to continue to be relevant in a society where AI is pervasive, governance must change toward process-oriented evaluation and relational originality.

Abstract

The proliferation of Generative Artificial Intelligence (GenAI) in higher education, particularly among undergraduate student population, has raised major contradiction about the traditional notions of academic integrity. This study reviewed related literatures to evaluate the balance of choice between digital governance and academic integrity, with intention of shifting the focus of educators from enforcement of academic integrity to student empowerment strategy through AI-literacy. Altogether, over 50 peer-reviewed articles and institutional policy frameworks published in peer-reviewed journals between 2021 and 2026 were solicited, and synthesized as part of the systematic review process. The key findings revealed a significant policy gap in which over 64% of undergraduate students are utilizing AI tools without formal institutional guidance or constraints. The other significant findings show that the traditional detection-based methods of academic dishonesty are losing their effectiveness, and could lead to a stability contradiction where ambiguous rules cause educators to struggle with competing balance of choice between AI adoption and academic integrity. Overall, the research findings draw the attention of educators and stakeholders to a new empowerment strategy that view AI-literacy as a competency ability to reduce intentional misbehavior in academic process. The study concludes that in order for undergraduate education to continue to be relevant in a society where AI is pervasive, governance must change toward process-oriented evaluation and relational originality. The other key suggestions include making AI-literacy classes mandatory for first-year students, and establishing uniform disclosure policies to encourage transparency and intellectual responsibility.

DOI Semantic Scholar
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