THE ROLE OF ARTIFICIAL INTELLIGENCE IN EDUCATIONAL LEADERSHIP AND MANAGEMENT FOR SERVICE QUALITY IN PAKISTANI HIGHER EDUCATION: A NARRATIVE REVIEW
DOI:
https://doi.org/10.63878/jalt2080Abstract
AI (Artificial Intelligence) is starting to play an important role in educational leadership and institutional management in higher education, presenting new opportunities to enhance the quality of services offered, decision-making, and efficiency of administration. Nonetheless, its position in the framework of the Pakistani higher education is under-researched, especially in terms of the leadership practices and service delivery results. This paper is a purposeful narrative review of 20 chosen peer-reviewed articles published in 2019-2024 on the conceptualization and application of AI to higher education leadership and management, and how these applications can be used to improve the quality of services. The review is a synthesis of the evidence in the most essential areas, such as data-driven decision-making, administrative automation, student support services, and institutional quality assurance. The results suggest that AI can enhance the quality of services in higher education by promoting efficiency, responsiveness, personalization, and evidence-based governance. At the same time, the literature also identifies the significant barriers to adoption, particularly in the context of developing-country environments, including infrastructure barriers, AI illiteracy, policy, ethical, and organizational barriers to change. Considering the Pakistani higher education system, the review indicates that although there is an increasing interest in AI adoption, the institutional preparation is not even and is limited by resource and capacity constraints. The successful implementation of AI necessitates strategic leadership, investment in digital infrastructure, human capacity development, and establishing clear ethical and governance frameworks. The study is useful in terms of its synthesis of the existing knowledge in the context of AI, educational leadership, and service quality, and formulating context-dependent implications to Pakistani higher education. It also indicates crucial research gaps, in particular, the need to conduct empirical and context-sensitive research on the implementation practices and measurable service quality outcomes.
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