ArticleNew directions for student leadership
Leading From the Precipice: How Academic Deans Are Navigating Artificial Intelligence in Higher Education.
Article in New directions for student leadership. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.