Policy

AI in Education: Policy Perspectives from Asian Markets

G

Grace

Lead Researcher  ·  Oct 20, 2025

AI in Education: Policy Perspectives from Asian Markets

Image source: BridgEdu Global Archives

In Brief A comparative analysis of AI education policies across Singapore, Japan, and China, exploring how different cultural and regulatory contexts shape approaches to AI integration in education.

The Policy Landscape

As artificial intelligence transforms industries, educational systems worldwide are grappling with how to prepare students for an AI-augmented future. In Asia, different countries are taking distinct approaches based on their cultural values, economic priorities, and regulatory frameworks.

This article examines policy approaches in three key markets: Singapore, Japan, and China. Our analysis is based on publicly available policy documents, academic research, and insights from our work with institutions in these regions.

Singapore: SkillsFuture and National AI Strategy

Singapore’s approach to AI in education is integrated into its broader SkillsFuture initiative, which emphasizes lifelong learning and skills development. The National AI Strategy includes specific provisions for education:

Key Features:

  • Focus on AI literacy for all students, not just computer science majors
  • Integration of AI tools into existing curricula
  • Emphasis on ethical AI and responsible use
  • Partnerships between educational institutions and industry

Implementation Challenges:

  • Teacher training and professional development
  • Balancing technical skills with critical thinking
  • Ensuring equitable access to AI education resources

Japan: Innovation and Tradition

Japan’s approach reflects a tension between innovation and traditional educational values. The government’s AI Strategy includes education components, but implementation varies significantly across institutions.

Key Features:

  • Emphasis on AI as a tool for solving social problems
  • Integration with existing STEM education initiatives
  • Focus on human-AI collaboration rather than replacement
  • Cultural emphasis on careful, deliberate adoption

Implementation Challenges:

  • Language barriers (most AI resources are in English)
  • Traditional educational structures resistant to change
  • Need to balance innovation with cultural values

China: Scale and Speed

China’s approach to AI in education is characterized by scale and rapid implementation. The government has made AI education a national priority, with significant investment in infrastructure and curriculum development.

Key Features:

  • Massive investment in AI education infrastructure
  • Integration of AI into national curriculum standards
  • Focus on AI talent development for economic competitiveness
  • Extensive use of AI tools in educational delivery

Implementation Challenges:

  • Quality control at scale
  • Regional disparities in implementation
  • Balancing innovation with educational equity
  • Privacy and data protection concerns

Comparative Insights

While each country’s approach reflects its unique context, several common themes emerge:

  1. The Need for Teacher Training: All three countries face challenges in preparing educators to teach AI concepts and use AI tools effectively.

  2. Ethical Considerations: There’s growing recognition that AI education must include ethical components, though approaches differ.

  3. Industry Partnerships: All three countries emphasize collaboration between educational institutions and technology companies.

  4. Equity Concerns: Ensuring that AI education benefits all students, not just those with existing advantages, is a challenge across all contexts.

Implications for Study Tours

Understanding these policy contexts helps us design programs that:

  • Respect local educational values and approaches
  • Provide students with comparative perspectives
  • Engage with policy discussions in meaningful ways
  • Contribute to cross-cultural learning about AI education

Conclusion

AI education policy in Asia is evolving rapidly, with each country developing approaches that reflect its unique context. For students participating in study tours, understanding these policy landscapes provides valuable insights into how technology and education intersect in different cultural settings.

We continue to monitor policy developments and adjust our programs accordingly, always with the goal of providing students with authentic, meaningful learning experiences that respect local contexts while offering global perspectives.

Ready to integrate these insights?

We help institutions design curriculum based on the methodologies discussed in this article. Schedule a briefing with our research team.