Các công cụ trí tuệ nhân tạo trong giáo dục: Ứng dụng, lợi ích và thách thức đối với nhà quản lí
Tóm tắt
The rapid advancement of artificial intelligence (AI) is reshaping educational systems worldwide, particularly in the domains of teaching practices and educational management. This study employs a scoping review approach to analyse 113 scholarly publications published between 2015 and 2025, with the aim of mapping major AI tools and examining their implications for educational leaders and managers. Four main categories of AI tools were identified: adaptive learning systems; assessment and administrative management tools; generative AI tools for content creation; and tools supporting learners with special educational needs. The findings suggest that AI may provide strategic and operational benefits, including data-driven decision-making, resource optimization, and large-scale personalization. However, its implementation also poses substantial challenges related to workforce competence, data ethics and governance, digital inequality, and regulatory uncertainty. Based on these findings, the study proposes three key pillars for effective AI integration in education: strengthening AI literacy among educators and leaders, establishing ethical and data governance frameworks, and ensuring strategic investment in digital infrastructure.
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