Artificial Intelligence and Cost Reduction in Public Higher Education: A Scoping Review of Emerging Evidence
Public higher education systems face increasing financial pressures from expanding student populations, rising operational costs, and persistent demands for equitable access. Artificial Intelligence (AI), including generative tools such as ChatGPT, learning analytics, intelligent tutoring systems, and predictive models, has been proposed as a means of enhancing efficiency and reducing costs. This study conducts a scoping review of the literature on AI applications in public higher education, based on systematic searches in Scopus and IEEE Xplore that identified 241 records, of which 21 empirical studies met predefined eligibility criteria and were thematically analyzed. The findings show ...
| Authors | Diamanto Tzanoulinou, Loukas Triantafyllopoulos, George Vorvilas et al. |
|---|---|
| Primary category | cs.CY |
| Published | 6 April 2026 |
| Last updated at source | 6 April 2026 |
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