This presentation examines how higher education leadership shapes the integration of artificial intelligence to strengthen teaching and learning. It highlights the role of structured oversight in ensuring AI use aligns with academic goals and supports faculty development. The discussion focuses on key leadership actions, including budgeting, policy execution, and professional development, that support consistency in instructional practice. The findings show that AI integration is most effective when institutions define clear expectations, establish measurable outcomes, and align resources with student learning priorities. This work contributes to the field of higher education leadership studies by outlining practical steps for structured and accountable AI implementation while maintaining academic standards and integrity.
Mopelola Fatile (Thu,) studied this question.
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