AI and Education: from Evidence to Action: The Education Technology Evidence Toolkit is an independent repository designed to help policymakers and education teams find and apply evidence on digital technology and AI in education. Its curated collection of over 160 public resources covers system readiness, governance, financing, teacher development, learning, assessment, delivery, and equity. Users can browse and filter the repository, trace evidence by publication year, focus on regions and countries, follow themes through the taxonomy, or find practical guidance through a policy lens. A relationship map connects system context with the decision at hand and the most useful form of evidence, guiding users from countries, regions, and education levels to questions of readiness, governance, cost, and equity, then to frameworks, country cases, evaluations, and guidance. Resources span 2016 to 2026 and can be searched by question, topic, country, keyword, theme, regional lens, and source format.
AI Policy Tutor: An interactive World Bank Policy Academy tool designed to help users navigate AI-in-education policy questions and move from policy learning to practical action. Users can explore policy frameworks and best practices, draft a new country specific policy, review and update an existing policy, or develop an actionable implementation plan. They can also ask questions directly and identify their country to receive more relevant results. The Tutor supports a structured policy development process while providing transparency on the decisions it supports, its learning approach and evidence base, its limitations, data protection, and user responsibilities. It is designed to complement—not replace—policy judgement, local context, and expert review.
