Artificial Intelligence and the Future of Higher Education: Prospects, Challenges, and Quality Enhancement Strategies

This study reviews literature on the impact of artificial intelligence (AI), in relation to the quality of higher education. The synthesis of evidence across disciplines has enabled this study to examine whether AI enhances learning outcomes or poses a risk to academic standards. Literature found demonstrates that there are many potential advantages of using AI, including personalised learning, adaptive instruction, increased support for teachers, and efficient administration. In addition, the literature highlights potential challenges associated with the use of AI in higher education, such as data privacy, algorithmic bias, unequal access to technology, and the need for educator training in AI use. Therefore, understanding both the potential advantages and disadvantages of using AI in higher education will enable institutions to develop appropriate policies and procedures for managing AI in their respective contexts.