Optimizing Enrolment Management in Higher Education Institutions Through AI Integration and Data Analytics: A Sustainable Resource Management Approach
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
https://orcid.org/0009-0004-5552-2890
Abstract
This study examines how artificial intelligence and advanced data analytics can reshape enrolment management in higher education institutions across Qatar. By situating administrative practices within the framework of the Sustainable Development Goals—most notably Goal 4, which focuses on quality education, and Goal 12, which promotes responsible consumption and production—the research considers how AI-enabled platforms can make better use of available resources, streamline operations, and support evidence-based decision-making. Drawing on in-depth interviews with twelve professionals from both public and private universities, thematic analysis surfaced four main domains of influence: predictive modelling of enrolment trends, the pursuit of equitable access, gains in administrative efficiency, and pockets of cultural or technological resistance. Overall, the results indicate that AI could help render enrolment systems more transparent, data-driven, and sustainable. The paper wraps up with targeted policy recommendations that consider Qatar’s dynamic educational environment while also offering lessons that may be relevant to other regions and countries.
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Digital transformationData-driven decision makingResources managementPublic-Private partnershipsHigher education
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