Sep 2026· New Directions for Student Leadership· Vol 2026, pp. 117 - 124· 0 citations· 31 references
Medicine
TL;DR
This qualitative case study examines how associate deans at a medium-sized Catholic university respond to the rapid integration of generative artificial intelligence and recommends flexible, collaborative approaches to AI governance that attend to context, care, and diverse ways of knowing.
Abstract
This qualitative case study examines how associate deans at a medium‐sized Catholic university respond to the rapid integration of generative artificial intelligence (AI). Guided by decolonial and feminist frameworks, the study analyzes survey data from seven academic leaders to understand their concerns, decision‐making processes, and emerging practices. Our findings reveal uneven adoption, limited institutional guidance, and ongoing concerns about academic integrity, equity, and bias. The study also highlights the often‐unseen relational and emotional labor involved in supporting faculty and students. We conclude by recommending flexible, collaborative approaches to AI governance that attend to context, care, and diverse ways of knowing.
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.
Joe Mutebi, Brian Mugisha, Ibrahim Adabara et al.· F1000Research· 0 citations
Generative artificial intelligence (GenAI) tools such as ChatGPT have rapidly entered higher education, challenging longstanding norms around authorship, assessment, and disciplinary expertise. While early GenAI scholarship has largely emphasized student outcomes, adoption trends, and academic integrity, comparatively...
Gibin Raju, T. Balart, Kristi J. Shryock· Education sciences· 0 citations
This article argues student leadership programs can turn AI from a plagiarism risk into a laboratory for craft intelligence and deliberate stewardship, which safeguards how knowledge is created, tested, and shared.
Christine Haskell· New Directions for Student L...· 0 citations
This narrative review challenges the dominant narrative that African university lecturers are unprepared or resistant to artificial intelligence (AI), asking instead: what happens when willing, innovative academics encounter institutional environments that systematically thwart their agency? Synthesizing 52 peer-review...
M. Banda· International journal of re...· 0 citations
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