Education and learning-system work supporting workforce readiness, AI literacy, and institutional capability-building.
Analysis
Malaysia has moved beyond the stage of asking whether AI belongs in the national education conversation. It is already there. The more useful question now is whether Malaysia can convert policy moveme…
This article draws on a conversation with Yiwen Zhang, curator of the Global Shapers Community Beijing Hub and a PhD researcher at the London School of Economics and Political Science (LSE), alongside the Observatory’s broader focus on regional AI education developments in China.
As AI reshapes education, girls in underserved communities risk being left further behind. This article looks at the realities of access in Nairobi and how Telenovation is creating meaningful pathways into technology and opportunity.
Generative AI is no longer a speculative “future of education” concept—it is actively reshaping how students learn, how teachers assess, and how institutions define academic integrity.
We are launching a Global Call for Governing with AI, inviting governments to share AI use cases, policy initiatives, and implementation tools.
Mid-sized economies can preserve AI sovereignty through multinational cooperation, pooling talent and compute to reduce dependency on dominant AI powers.
Publications
China’s AI education transition illustrates a broader global shift: the central challenge is no longer whether schools can access AI tools, but whether education systems can redesign institutions fast enough to use them well. This brief examines how assessment pressure, teacher readiness, governance capacity, and uneven implementation shape China’s AI education pathway. By connecting China’s case with comparative insights from five countries, it argues that meaningful AI adoption requires moving beyond pilots and technology enthusiasm toward institutional change, evidence systems, and human-centered implementation.
Drawing on the latest Observatory Survey of Adult Skills (PIAAC), this report provides new evidence.
Playbooks
Purpose: Policy and guardrails for school use of AI.
For: School leaders, IT, policy officers
Purpose: Staged training and capability building for educators.
For: Teachers, professional development leads
Purpose: How to embed AI literacy and computational thinking into existing curricula.
For: Curriculum designers, educators
Purpose: Outcome and impact measurement for AI literacy programs.
For: School systems, researchers
Related coverage
Governance frameworks, responsible adoption models, data and compliance signals, and institutional capabilities required to scale AI safely across organizations and public systems.
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Explore workforce coverageCase-based intelligence on how organizations move from AI pilots to governed adoption at scale.
Explore implementation evidenceListen
Related podcast episodes: Practical use of AI·The Future of Assessment
