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Framework analysis demonstrates core leadership practices for responsible AI teaching in higher education, highlighting strategies to strengthen academic quality and student learning.
My latest work, Three Leadership Practices for Building Effective AI Teaching and Learning in Higher Education, examines how higher education leaders can shape responsible, effective AI-supported teaching. The study highlights three connected practices—Strategic Vision, Faculty AI Innovation Stewardship, and Adaptive AI Learning Leadership—that help institutions strengthen academic quality while supporting meaningful student learning.
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MopelolaO Fatile (2026) studied this question.
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