AI Maturity in Education
Accountability
This page explains how the AI Education Index works and how its figures are constructed. It shows where the data come from, how the index is calculated, and how the app handles privacy, transparency, and how the app can serve as a source of insight and inspiration.
How the App Works
The AI Education Index shows how far the Dutch education system has progressed in the responsible and sustainable use of artificial intelligence (AI). The app has been developed as an inspirational and reflective tool for schools, teaching teams, and policymakers.
It highlights where AI is already meaningfully embedded – and where there is still room for development, policy, or innovation.
The index measures not only how much AI is used, but also how well that use is embedded in policy, practice, and professional support. By combining five equally weighted components — students, teachers, schools, public opinion, and innovation — the index provides a balanced view of both the scale and the quality of AI integration. It is guided by eight public values for responsible AI use, which also act as the ethical framework of the app itself. The data are designed for trend analysis and policy reflection, not for competition or ranking. The index provides direction, not a leaderboard.
How Schools Can Use It
The AI Education Index helps schools reflect on their own AI approach in relation to national and international developments. It can be used as a starting point for team reflection and dialogue:
- How do we compare to the national average?
- In which area do we perform strongly (e.g. policy or public support)?
- Where is there still room for growth (e.g. classroom innovation)?
The index encourages discussion and action on vision, professional learning, ethics, and policy. This way, AI remains a tool for better learning and teaching – never a goal in itself.
Eight Values for Responsible AI
- Human-Centred in Purpose – The index is not about technology itself but about meaningful learning. AI is assessed on how it strengthens the human dimension in education.
- Fair operation – The tool reveals differences without judgement. Unequal access or limited training lowers the impact score and stimulates attention to digital inclusion and equal opportunities.
- Transparent explanation – Every step is visible: sources, calculations, and definitions are open. Tooltips, info buttons, and open data in the source code allow anyone to trace where the figures come from.
- Safe use – The app works entirely offline, with no logins, tracking, or data sharing. Schools can safely use it within their own digital environment.
- Reliable results – The data are based on official, verifiable sources (OCW, Kennisnet, NOLAI, OECD, EDUFI, NCES, KERIS). Where data were missing, cautious and transparent estimation methods were used.
- Accountable oversight – Metadata are publicly available in the source code (JSON format). Further documentation and supporting details can be requested, ensuring the calculations are reproducible.
- Privacy awareness – The app processes no personal data and uses no cookies. All calculations run locally in the browser, minimising digital risk.
- Sustainable impact – The index is designed for reflection and growth, not competition. It supports schools in policy development, professionalisation, and responsible innovation.
About the Data
The AI Education Index consists of five equally weighted components. Together they form a total score of 100% – the higher the percentage, the more deeply AI is integrated into educational policy and practice. All values are normalised on a 0–100% scale to ensure comparisons between countries and over time. The five components are:
- Students – Percentage of secondary students actively using AI in their learning, for example for information processing, reflection, or feedback.
- Teachers – Percentage of secondary teachers using AI in lesson preparation, instruction, or learner guidance.
- Schools – Percentage of secondary schools with a formal AI policy or established internal guidelines for responsible use.
- Public opinion – Percentage of surveyed teachers, students, and parents holding a positive or broadly constructive view of AI in education.
- Innovation – Percentage of schools integrating AI sustainably into classroom practice (for more than one semester and beyond lesson preparation or content creation).
The AI Education Index uses secondary education as its reference level because this segment offers the best balance between scale, digital maturity, and policy development. Primary education is expected to score lower due to slower adoption, while further and higher education generally reach higher maturity levels thanks to greater capacity and strategic investment.
Sources:
- National: OCW, Kennisnet, NOLAI, CBS
- International: OECD (TALIS), EDUFI (Finland), NCES (USA), KERIS (South Korea)
- Opinion research: Gallup, Pew Research, NIDI, and local surveys
Frequency and period: The dataset covers December 2022 (ChatGPT launch) to October 2025 and is updated monthly. All historical data and source references are available in the monthly reports.
Additional Best Practices
The development and publication of the AI Education Index follow a set of good practices, which can also serve as examples for schools developing their own data dashboards or AI projects:
- Open formats – Data are available in CSV and JSON for reuse and independent analysis.
- Source attribution per datapoint – Each figure links to a publicly accessible source or report.
- Regular review – Data are checked monthly for accuracy and relevance.
- Educational clarity – Interactive legends and explanations make the data understandable for non-specialists.
- Accessibility – Keyboard navigation, ARIA labels, and high-contrast modes ensure inclusive use.
- Visual clarity – Colours and patterns are combined for readability, including for colour-blind users.
- Offline performance – Visualisations load locally, without external servers or dependencies.
- Documentation and validation – The data structure and update logue are open for public scrutiny.
Conclusion
The AI Education Index shows that accountability in digital tools can be simple and meaningful. With open data, local processing, and clear design principles, the app demonstrates that technology can remain transparent and human-centred — a tool for better learning, not an end in itself.