Journal of Management Research and Review (JMRR) · Research article · Open access
Artificial Intelligence in Personalized Learning and Student Assessment: Challenges and Implementation Solutions
Lý Bích Ngọc
3 January 2026 · Vol. 2, Issue 1, pp. 1-6
DOI: 10.65150/EP-jmrr/V2E1/2026-01
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What is this article about?
This paper analyzes the role of artificial intelligence (AI) in personalizing learning and reforming assessment and evaluation in higher education, with a particular focus on the context of Vietnam. AI offers new opportunities to improve the quality of teaching and learning through technologies such as machine learning, natural language processing, learning analytics and intelligent assistants, enabling the design of tailored learning pathways via adaptive learning systems and personalized learning resources.
Article at a glance
- Published
- 3 January 2026
- Volume / issue / pages
- Vol. 2, Issue 1, pp. 1-6
- 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 analyzes the role of artificial intelligence (AI) in personalizing learning and reforming assessment and evaluation in higher education, with a particular focus on the context of Vietnam. AI offers new opportunities to improve the quality of teaching and learning through technologies such as machine learning, natural language processing, learning analytics and intelligent assistants, enabling the design of tailored learning pathways via adaptive learning systems and personalized learning resources. In assessment, AI supports automatic grading, timely feedback, detection of knowledge gaps and enhances fairness and transparency. However, implementing AI in Vietnamese higher education faces several challenges: uneven technological infrastructure, an underdeveloped legal and regulatory framework, limited digital competencies among faculty and students, and ethical and data-security concerns. The study proposes solutions including upgrading digital skills for faculty and students; investing in technological infrastructure; completing policies and legal frameworks; strengthening data security; and promoting research–industry collaboration. These measures will help Vietnamese higher education harness AI’s potential effectively, moving toward a personalized, equitable and sustainable education system.
Keywords: Artificial Intelligence (AI), digital transformation, personalized learning, assessment, higher education.
Cite this article
Lý Bích Ngọc (2026). Artificial Intelligence in Personalized Learning and Student Assessment: Challenges and Implementation Solutions. Journal of Management Research and Review, 2(1), 1-6. https://doi.org/10.65150/EP-jmrr/V2E1/2026-01
@article{L2026,
title = {Artificial Intelligence in Personalized Learning and Student Assessment: Challenges and Implementation Solutions},
author = {Lý Bích Ngọc},
journal = {Journal of Management Research and Review},
year = {2026},
volume = {2},
number = {1},
pages = {1-6},
doi = {10.65150/EP-jmrr/V2E1/2026-01},
url = {https://doi.org/10.65150/EP-jmrr/V2E1/2026-01}
}Questions about this article
Who wrote this article?
Lý Bích Ngọc.
Where and when was it published?
In Journal of Management Research and Review, Volume 2, Issue 1, pages 1-6, published by EP Journals Group on 3 January 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/V2E1/2026-01 (https://doi.org/10.65150/EP-jmrr/V2E1/2026-01).
How do I cite this article?
APA: Lý Bích Ngọc (2026). Artificial Intelligence in Personalized Learning and Student Assessment: Challenges and Implementation Solutions. Journal of Management Research and Review, 2(1), 1-6. https://doi.org/10.65150/EP-jmrr/V2E1/2026-01
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