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Integrating Artificial Intelligence Technologies Into Higher Education Systems: Prospects and Constraints
Abstract
This study investigates the integration of artificial intelligence (AI) in higher education, focusing on its transformative potential and associated challenges. AI technologies, such as adaptive learning systems, intelligent tutoring systems, and predictive analytics, offer significant prospects for enhancing teaching, learning, research, and administrative processes within higher education institutions. The research examines these benefits alongside the constraints, including inadequate technological infrastructure, ethical concerns, faculty resistance, and high costs. By utilizing a qualitative research design and drawing from a diverse array of data sources, the study highlights the importance of addressing ethical issues, building robust technological infrastructure, and overcoming resistance to effectively integrate AI into educational systems. The findings suggest, among others, that while AI holds promise for personalized learning and improved administrative efficiency, a balanced approach considering technical, ethical, and financial aspects is essential.
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