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AI: new source of competitiveness in higher education

Erin Hannan (School of Business, State University of New York at New Paltz, New Paltz, New York, USA)
Shuguang Liu (School of Business, State University of New York at New Paltz, New Paltz, New York, USA)

Competitiveness Review

ISSN: 1059-5422

Article publication date: 9 August 2021

Issue publication date: 7 February 2023

4582

Abstract

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.

Keywords

Citation

Hannan, E. and Liu, S. (2023), "AI: new source of competitiveness in higher education", Competitiveness Review, Vol. 33 No. 2, pp. 265-279. https://doi.org/10.1108/CR-03-2021-0045

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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