AI-Driven Leadership and Administration in Higher Education



Author Information

Rubina Danilova, American University of Armenia, Armenia

Abstract

Artificial intelligence is rapidly reshaping higher education, yet many universities lack practical frameworks for integrating AI into leadership and administrative decision-making. This interactive workshop explores how institutions can move from experimentation to strategic implementation of AI across academic operations, student advising, and international collaboration.

Designed for university leaders, administrators, and academic staff, the session presents concrete use cases of AI-supported workflows in admissions, program coordination, advising, and institutional planning. Participants will engage with practical tools and structured activities that demonstrate how generative AI can enhance efficiency, support data-informed decisions, and strengthen global collaboration while maintaining ethical and responsible practices.

The workshop situates AI adoption within broader institutional transformation, emphasizing leadership capacity, governance, and change management. Participants will examine how digital innovation can align with institutional values, equity considerations, and long-term strategy. Through guided exercises, attendees will identify high-impact implementation areas within their own institutions and outline realistic next steps for integrating AI into daily operations.

By combining strategic perspective with hands-on exploration, the session aims to bridge the gap between emerging technologies and practical application in higher education leadership. It is suitable for both institutions beginning to explore AI and those seeking more structured approaches to implementation.


Paper Information

Conference: ECE2026
Stream: Design

Published: Sunday February 15, 2026

The full paper is not available for this title


Virtual Presentation


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Posted by The International Academic Forum