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     2026:7/3

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN: (Print) | 2582-7138 (Online) | Impact Factor: 9.54 | Open Access

Feasibility and Efficacy of Integrating Artificial Intelligence into Teaching and Learning for Pupils and Students in Vietnam

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Abstract

As digital transformation reshapes the global educational ecosystem, Artificial Intelligence (AI) has emerged as a strategic catalyst for educational reform and modernization in Vietnam. This paper analyzes the trends of AI application in education through the lens of public policy while evaluating the readiness of the Vietnamese educational system for an effective and comprehensive integration of this technology. Based on a practical overview of implementation at several educational institutions, the study identifies fundamental prerequisites, including technological infrastructure, teachers' digital competencies, and the levels of learner accessibility and acceptance. AI is recognized for its significant potential in personalizing learning pathways, optimizing classroom management, supporting competency-based assessments, and fostering essential 21st-century skills. Nevertheless, the implementation process encounters various impediments: regional disparities in technological access, a deficit in high-quality human resources, and ethical risks concerning student data management. Consequently, the paper proposes strategic orientations, such as establishing a unified digital education policy, investing in the development of a "digital-ready" teaching force, and promoting public private partnerships in educational technology research and development. These measures aim to ensure that AI integration in education remains systematic, equitable, and sustainable.

How to Cite This Article

MSc Hoang Phuong Thao, MSc Pham Thi Huyen (2026). Feasibility and Efficacy of Integrating Artificial Intelligence into Teaching and Learning for Pupils and Students in Vietnam . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 7(3), 193-197.

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