Research and Teaching on AI and Leadership This teaching document presents a 14-week graduate seminar that examines artificial intelligence through the lens of higher education leadership. Students evaluate AI research, institutional policies, governance structures, academic integrity, privacy, accessibility, and leadership responsibilities while developing case studies and research proposals. The resource is designed for graduate students, doctoral candidates, and faculty interested in AI-related institutional decision-making.
No takes yet. Share an insight, caveat, or question.
Mopelols Fatile (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: