According to MOET, in the modern digital era, AI education plays a vital role in helping students absorb and expand knowledge, innovate in digital environments, and adapt to a rapidly evolving society. AI also helps shape technological competencies relevant to both academic and future career settings.

The AI curriculum is designed around four main thematic pillars, each corresponding to a key domain of competence: human-centered thinking, AI ethics, AI technology and applications, and AI system design.

Together, these knowledge streams aim to provide students with an understanding of how to use technology responsibly, striking a balance between innovation and social accountability  -  ensuring that AI serves people in a safe and humane way.

Age-appropriate content across education levels

The curriculum is structured into two stages: basic education (primary and lower secondary) and career orientation (upper secondary). It is designed to be both integrated and age-appropriate:

At the primary school level, students are introduced to AI through visual and interactive applications like image and voice recognition. They learn that AI is created by humans and begin to develop an awareness of personal data protection.

At the lower secondary level, students acquire a basic understanding of AI operations, including data and algorithms. They practice using AI tools to solve learning problems and begin to recognize the risks and biases associated with AI systems.

At the upper secondary level, students advance to designing simple AI systems, developing problem-solving skills, and exploring career pathways in the field of technology.

Flexible implementation without curriculum overload

The draft proposal emphasizes nationwide consistency while allowing flexibility in implementation based on local conditions and resources. It is designed not to alter or overload the current general education curriculum. AI content must align with learning objectives of existing subjects and match students’ psychological development stages.

Schools are encouraged to adopt diverse implementation models, such as integrating AI into existing subjects, organizing special topics or projects, and forming AI clubs  -  tailored to their specific capabilities.

MOET also urges localities to maximize existing resources and infrastructure, avoid redundant or inefficient investment, and promote partnerships and social contributions to enhance educational materials and hands-on experiences.

Importantly, the draft stresses inclusive access: all students, especially those in disadvantaged socio-economic regions, must have equitable opportunities to engage in AI education.

Timeline for implementation

Under the plan:

December 2025: MOET will prepare learning materials and train key personnel for the pilot phase.

December 2025 to May 2026: AI education will be piloted in selected schools.

June 2026: Results will be reviewed and assessed, leading to refinement of the AI curriculum framework and proposals for broader rollout in subsequent academic years.

Alongside student education, the ministry will also test AI applications in school management, lesson planning support for teachers, and innovative assessment methods.

Thanh Hung