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Special Issue: Enhancing the Student Experience | Acta Pedagogia Asiana | Volume 5 - Issue SI - 2026 | 16−28 | https://doi.org/10.53623/apga.v5iSI.1047
© 2026 by the author(s), and is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) License Creative Commons Attribution 4.0 International (CC BY 4.0) License

A Vietnamese Case Study of Artificial Intelligence in K-12 Education

Author(s): Nguyen Thi Thao Ho 1 , Ly Thi Khanh Pham 2
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1 Office of Science Management, FPT University, Hanoi, Vietnam
2 Fschool Cau Giay, Hanoi, Vietnam

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Acta Pedagogia Asiana

Acta Pedagogia Asiana

Volume 5 - Issue SI - 2026

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Artificial intelligence (AI) in K-12 education has the potential to alter learning experiences through individualized instruction, adaptive learning systems, and intelligent tutoring systems. It uses AI's data analysis skills to deliver personalized learning routes suited to each student's needs. AI technologies can evaluate student progress in real-time, provide timely feedback, and find areas for growth. Furthermore, AI-powered educational systems may assist instructors by automating administrative work, allowing for more emphasis on student connection and instructional innovation. However, issues like data protection, equitable access to technology, and the requirement for teacher and student training in AI integration must be solved before AI can fully realize its promise in K-12 education. This study demonstrates a Vietnamese Xschool employing AI for grades 1, 2, 3, and 7. Notably, the case study highlights the key challenges faced in AI implementation in practice and provides practical implications for the effectiveness of AI implementation for primary and secondary schools.

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SUBMITTED: 12 February 2026
ACCEPTED: 24 March 2026
PUBLISHED: 9 April 2026
SUBMITTED to ACCEPTED: 41 days
DOI: https://doi.org/10.53623/apga.v5iSI.1047

Cite this article
Ho, N. T. T. ., & Pham, L. T. K. . (2026). A Vietnamese Case Study of Artificial Intelligence in K-12 Education. Acta Pedagogia Asiana, 5(SI), 16−28. https://doi.org/10.53623/apga.v5iSI.1047
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