AI: new source of competitiveness in higher education

Purpose This paper aims to survey the current landscape of artificial intelligence (AI) applications in higher education institutions (HEIs) and recommend future directions. Design/methodology/approach This paper reviews the recent trends, showcases the applications and provides future directions through a review of current uses of AI in HEIs. Findings The results of this study highlight successful applications of AI technologies in three main areas of college operation: student learning experience; student support; and enrollment management. Research limitations/implications This review has important implications for early adopters of AI by HEIs in providing a competitive advantage. The limitation lies in the scope of the review. It is not comprehensive and does not cover other areas of college operations. Originality/value This is the first review about AI in higher education. It is of value in building future research and serving as a framework for AI applications in HEI.

Automated summary

This paper surveys the current landscape of artificial intelligence (AI) applications in higher education institutions (HEIs) and recommends future directions. The findings highlight successful applications of AI technologies in student learning experience, student support, and enrollment management. However, the review is limited in scope and does not cover other areas of college operations.