Journal of Management Research and Review (JMRR) · Research article · Open access
Data-Driven and AI-Based Higher Education Accreditation: International Experiences and Implications for Vietnam
Tran Thi Ngat
21 May 2026 · Vol. 2, Issue 5, pp. 287-291
DOI: 10.65150/EP-jmrr/V2E5/2026-08
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What is this article about?
This paper investigates the application of data and artificial intelligence (AI) to innovate higher education accreditation in the context of digital transformation. The study employs document analysis and theoretical synthesis, combined with international experience comparison, to clarify the trend of data-driven accreditation.
Article at a glance
- Published
- 21 May 2026
- Volume / issue / pages
- Vol. 2, Issue 5, pp. 287-291
- ISSN
- 3051-3588 (online) · 3051-357X (print)
- Licence
- CC BY 4.0 — free to read and reuse with attribution
- Peer review
- Double-blind, at least two independent reviewers
- Publisher
- EP Journals Group
Abstract
This paper investigates the application of data and artificial intelligence (AI) to innovate higher education accreditation in the context of digital transformation. The study employs document analysis and theoretical synthesis, combined with international experience comparison, to clarify the trend of data-driven accreditation. Findings reveal that higher education accreditation is shifting from periodic evaluation models to continuous quality monitoring based on data, with AI playing a supportive role in analysis, visualization, and early warning. However, Vietnam’s accreditation system remains limited in terms of data standardization, system interoperability, and technological capacity. Accordingly, the study proposes a data- and AI-driven accreditation model built upon three pillars: institutional and governance frameworks, data and technological infrastructure, and human resource capacity, accompanied by a phased implementation roadmap. The research contributes scientific foundations and policy implications for innovating higher education accreditation in Vietnam in the digital era.
Keywords: higher education quality, data, accreditation, artificial intelligence, digital transformation
Cite this article
Tran Thi Ngat (2026). Data-Driven and AI-Based Higher Education Accreditation: International Experiences and Implications for Vietnam. Journal of Management Research and Review, 2(5), 287-291. https://doi.org/10.65150/EP-jmrr/V2E5/2026-08
@article{Tran2026,
title = {Data-Driven and AI-Based Higher Education Accreditation: International Experiences and Implications for Vietnam},
author = {Tran Thi Ngat},
journal = {Journal of Management Research and Review},
year = {2026},
volume = {2},
number = {5},
pages = {287-291},
doi = {10.65150/EP-jmrr/V2E5/2026-08},
url = {https://doi.org/10.65150/EP-jmrr/V2E5/2026-08}
}Questions about this article
Who wrote this article?
Tran Thi Ngat.
Where and when was it published?
In Journal of Management Research and Review, Volume 2, Issue 5, pages 287-291, published by EP Journals Group on 21 May 2026.
Is this article free to read?
Yes. It is open access under a Creative Commons Attribution 4.0 (CC BY 4.0) licence, so anyone can read, share and reuse it with attribution.
What is the DOI of this article?
10.65150/EP-jmrr/V2E5/2026-08 (https://doi.org/10.65150/EP-jmrr/V2E5/2026-08).
How do I cite this article?
APA: Tran Thi Ngat (2026). Data-Driven and AI-Based Higher Education Accreditation: International Experiences and Implications for Vietnam. Journal of Management Research and Review, 2(5), 287-291. https://doi.org/10.65150/EP-jmrr/V2E5/2026-08
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