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.
Year of publication: |
2021
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Authors: | Hannan, Erin ; Liu, Shuguang |
Published in: |
Competitiveness Review: An International Business Journal. - Emerald, ISSN 1059-5422, ZDB-ID 2070009-X. - 2021 (09.08.)
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Publisher: |
Emerald |
Saved in:
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