ReviewNew directions for student leadership2026
Student Leadership Development in a Gen-AI Higher Education Landscape: Four Imperatives for the Future.
Review in New directions for student leadership, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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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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0 citing papers in PubMed.
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Abstract
Artificial intelligence (AI) is transforming higher education, yet student leadership programs have failed to engage this transformation. This article examines four imperatives for integrating AI into leadership education: AI as pedagogy, AI literacy as leadership competency, student agency in institutional AI transformation, and AI-enhanced assessment of leadership development. I argue leadership educators have opportunities and responsibilities to lead, not only react to, higher education's AI engagement. A framework spanning educator actions, programmatic redesign, institutional transformation, and field-level initiatives is offered as a response. By embracing these imperatives, leadership development can responsibly integrate AI while preparing students for future AI-driven challenges.
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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.