Dream Science

DS Journal of Multidisciplinary (DSM)

Research Article | Open Access | Download Full Text

Volume 2 | Issue 2 | Year 2025 | Article Id: DSM-V2I2P103 DOI: https://doi.org/10.59232/DSM-V2I2P103

Limitations and Challenges When Deploying AI in the Education System

Vuong Pham, Minh Phan

ReceivedRevisedAcceptedPublished
08 Mar 202507 Apr 202510 May 202530 May 2025

Citation

Vuong Pham, Minh Phan. “Limitations and Challenges When Deploying AI in the Education System.” DS Journal of Multidisciplinary, vol. 2, no. 2, pp. 22-25, 2025.

Abstract

Integrating Artificial Intelligence (AI) into education offers transformative potential, including personalized learning and administrative efficiency. However, this paper highlights six critical challenges that hinder effective implementation: (1) over-reliance on AI and undervaluation of human educators, (2) inadequate teacher training, (3) digital inequality, (4) concerns over data privacy and algorithmic bias, (5) increased risk of academic dishonesty, and (6) dependency on unvetted technology providers. Drawing on global and Vietnamese case studies, the article stresses the importance of contextual adaptation, equitable infrastructure, ethical safeguards, and continuous evaluation. The findings underscore that AI should not replace human educators but complement them through thoughtful integration supported by firm policy and pedagogy.

Keywords

Artificial Intelligence (AI), Education technology, Vietnam education system, Digital inequality, Data privacy.

References

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Limitations and Challenges When Deploying AI in the Education System