AI for Education Teams in Vietnam

Education is one of eight priority sectors under Decision 749/QD-TTg. Our programme helps institutions document their AI initiatives as aligned with national digital transformation targets, which strengthens applications for government support and demonstrates compliance with Ministry of Education directives.

AI systems that make or significantly influence decisions about student outcomes (admissions, grading, progression) are likely to be classified as high-risk under the AI Law, requiring mandatory conformity assessments. We help institutions establish the governance practices needed to demonstrate compliance.

Vietnam's AI Law, effective March 2026, introduces a risk-based classification system (high, medium, low risk). High-risk AI systems require mandatory pre-market conformity assessments and human oversight. We help you assess which classification applies to your use case and prepare the necessary governance documentation before enforcement begins.

Vietnam's Personal Data Protection Law (effective January 2026) requires explicit prior consent for data processing, 72-hour breach notification to the Ministry of Public Security, and impact assessments for cross-border data transfers. The Cybersecurity Law also requires 24-month local data storage for Vietnamese user data. Our implementation includes compliance checkpoints for all these requirements.

Yes. Given that only 15-20% of Vietnam's workforce has business-level English, we deliver all training with Vietnamese-language materials and bilingual facilitators. Hands-on exercises use Vietnamese-language examples and locally relevant case studies.

No. This training explicitly positions AI as augmentation for educators, not replacement. AI handles repetitive tasks (grading, admin, basic Q&A) so teachers can focus on high-value work: Socratic dialogue, mentorship, creative project guidance, and emotional support. The best learning outcomes come from AI + human teacher collaboration. We address this concern directly in Module 1 and throughout the programme.

We align all AI use cases with MOE learning outcome frameworks (Singapore's 21CC, Thailand's Basic Education Core Curriculum, Philippines' K-12 standards). Module 5 covers automated MOE reporting, accreditation documentation, and learning analytics dashboards that map to official competency frameworks. We also address student data privacy under PDPA and FERPA requirements for international schools.

The training works with both legacy and modern systems. If you're using basic tools (Google Classroom, spreadsheets, email), we'll show you entry-level AI applications (chatbots, simple grading automation, free analytics tools). If you have advanced LMS/SIS platforms (Canvas, Blackboard, Workday Student), we'll cover deeper integrations. During Discovery, we'll assess your current tech stack and tailor content accordingly.

Module 6 covers comprehensive academic integrity frameworks for the AI era. You'll learn to: (1) Design AI-aware assessments (oral exams, live demonstrations, process-focused grading), (2) Establish clear AI use policies (when AI is allowed as a tool vs. prohibited as cheating), (3) Detect AI-generated work when necessary, and (4) Teach students responsible AI use as a 21st-century skill. The goal is not to ban AI but to integrate it ethically into pedagogy.

Yes, we customize content for your education level. K-12 schools focus more on engagement analytics, parent communication, and differentiated learning. Higher ed institutions emphasise adaptive assessments, research support, enrollment management, and career services. Polytechnics and vocational schools get industry-aligned content (AI for technical skill assessment). During Content Customisation, we tailor all modules and case studies to your specific education context.