Ứng dụng trí tuệ nhân tạo trong quản trị nhà trường phổ thông: Xu hướng quốc tế và khuyến nghị cho Việt Nam

Các tác giả

  • Nguyễn Bằng Linh Cục Quản lí chất lượng, Bộ Giáo dục và Đào tạo
  • Mai Văn Trinh Viện Khoa học Giáo dục Việt Nam
  • Nguyễn Hữu Cương Trường Đại học Phương Đông

Tóm tắt

Artificial intelligence is becoming one of the key technologies driving digital transformation in education. However, research on the application of artificial intelligence in school governance at the general education level remains limited. This article analyzes global trends in the application of artificial intelligence in school governance and proposes recommendations for Vietnam. The study involves a scoping review combined with policy analysis. The findings show that artificial intelligence is mainly applied in educational data management, support for governance-related decision-making, automation of administrative tasks, and monitoring and quality assurance in education. Effective implementation of artificial intelligence depends on several conditions, including technological infrastructure, data quality, staff capacity, and supportive policies. The findings provide a reference for policy development and for promoting the application of artificial intelligence in school governance in Vietnam. Based on international experience, the study recommends refining policies, developing an educational data ecosystem, enhancing the capacity of school leaders and teachers concerning artificial intelligence, and establishing an ethical framework for the safe use of artificial intelligence in education.

Tài liệu tham khảo

Armstrong, R., Hall, B. J., Doyle, J., & Waters, E. (2011). ‘Scoping the scope’ of a cochrane review. Journal of Public Health, 33(1), 147-150. https://doi.org/10.1093/pubmed/fdr015

Borgonovi, F., Bastagli, F., Ochojska, M., & Piumatti, G. (2025). AI adoption in the education system: International insights and policy considerations for Italy. OECD Publishing.

Chiu, T. K. F., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 4, 100118. https://doi.org/10.1016/j.caeai.2022.100118

Deepshikha, D. (2025). A systematic review on the future of educational assessment: AI-driven grading and personalised feedback in higher education. Artificial Intelligence in Education, 2(2), 75-115. https://doi.org/10.1108/AIIE-03-2025-0036

European Commission (2022). Ethical guidelines on the use of artificial intelligence and data in teaching and learning for educators. https://education.ec.europa.eu/news/ethical-guidelines-on-the-use-of-artificial-intelligence-and-data-in-teaching-and-learning-for-educators

Göçen, A., Akın Bulut, M., & Yurdunkulu, A. (2025). AI in school management: A new era of leadership. https://aieou.web.ox.ac.uk/article/ai-school-management-new-era-leadership

Medeiros, T., Araújo, A., Silva, J., & Silva, A. (2025). Data governance in education: Addressing challenges and unlocking opportunities for effective data management. Proceedings of the 27th International Conference on Enterprise Information Systems (ICEIS 2025), 1, 367-374. https://doi.org/10.5220/0013468300003929

Miao, F., & Cukurova, M. (2024). AI competency framework for teachers. UNESCO. https://doi.org/10.54675/ZJTE2084

Miao, F., & Holmes, W. (2023). Guidance for generative AI in education and research. UNESCO. https://doi.org/10.54675/EWZM9535

Ng, D. T. K., Leung, J. K. L., Chu, K. W. S., & Qiao, M. S. (2021). AI literacy: Definition, teaching, evaluation and ethical issues. Proceedings of the Association for Information Science and Technology, 58(1), 504-509. https://doi.org/10.1002/pra2.487

Nguyen, L. B. (2023). Application of information and communication technology (ICT) in educational administration: International experiences and Vietnamese 0olicies. Vietnam Journal of Education, 7(3), 187-194. https://doi.org/10.52296/vje.2023.327

OECD-Education International (2023). Opportunities, guidelines and guardrails on effective and equitable use of AI in education. OECD Publishing.

OECD (2023). OECD digital education outlook 2023: Towards an effective digital education ecosystem. OECD Publishing.

Rajasekaran, S., Adam, T., & Tilmes, K. (2024). Digital pathways for education: Enabling greater impact for all. World Bank.

Shrestha, A. K., Barthwal, A., Campbell, M., Shouli, A., Syed, S., Joshi, S., & Vassileva, J. (2024). Navigating AI to unpack youth privacy concerns: An in-depth exploration and systematic review. 2024 IEEE 15th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 116-123. https://doi.org/10.1109/IEMCON62851.2024.11093125

Sposato, M. (2025). Artificial intelligence in educational leadership: A comprehensive taxonomy and future directions. International Journal of Educational Technology in Higher Education, 22(1), 20. https://doi.org/10.1186/s41239-025-00517-1

U.S. Department of Education (2023). Artificial intelligence and future of teaching and learning: Insights and recommendations. https://www.ed.gov/sites/ed/files/documents/ai-report/ai-report.pdf

UNESCO (2022a). Re-imagining the future of education management information systems: Ways forward to transform education data systems to support inclusive, quality learning for all. https://unesdoc.unesco.org/ark:/48223/pf0000381618/PDF/381618eng.pdf.multi

UNESCO (2022b). Recommendation on the ethics of artificial intelligence. https://unesdoc.unesco.org/ark:/48223/pf0000381137

UNESCO (2023). Global Education Monitoring Report 2023: Technology in education - A tool on whose terms? https://doi.org/10.54676/UZQV8501

UNESCO (2025). AI and the future of education: Disruptions, dilemmas and directions. https://doi.org/10.54675/KECK1261

Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems With Applications, 252, 124167. https://doi.org/10.1016/j.eswa.2024.124167

World Bank (2025). AI in schools: Opportunities, challenges and realities for the future of learning. https://www.worldbank.org/en/programs/vienna-development-knowledge-center/brief/ai-in-schools-opportunities-challenges-realities-for-the-future-of-learning

Zhao, H., & Wang, Q. (2026). Use of AI in Singapore education: Overview. In J. Chi-Kin Lee (Ed.), Handbook of Asian Educational Innovation towards the Futures of Education (pp. 1-18). Springer. https://doi.org/10.1007/978-981-96-3901-4_5-2

Tải xuống

Đã Xuất bản

05.08.2026

Cách trích dẫn

Nguyễn Bằng Linh, N. B. L., Mai Văn Trinh, M. V. T., & Nguyễn Hữu, C. (2026). Ứng dụng trí tuệ nhân tạo trong quản trị nhà trường phổ thông: Xu hướng quốc tế và khuyến nghị cho Việt Nam. Tạp Chí Giáo dục, 26(15), 1–7. Truy vấn từ https://tcgd.tapchigiaoduc.edu.vn/index.php/tapchi/article/view/6404

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