Get a Clear Grip on AI in Education

AI is evolving faster than schools can keep pace. Our lenses help you view AI clearly, domain by domain: where it works, which decisions are needed, how to safeguard quality, how to innovate responsibly, and how to embed AI sustainably across your school.

Each lens offers one sharp perspective - no noise, no overload. See more clearly. Take control. Build an AI-capable school.

lenses for viewing AI education areas

18 November 2025 2-minute read

Foundation

The 6 AI Domains (WHAT)

Application

Where AI touches education. The six domains provide clarity on opportunities, risks and professional choices. From lesson design to school development: these domains structure where AI adds value and where vigilance is needed. They form the foundation for didactics, policy, PDCA and innovation. Read more »

Didactics

AIEd Bloom (HOW learning stays central)

Learning process

The thinking steps people must take. Six steps show what AI can support - and what learners and teachers must continue to do themselves. Gather, Adapt, Simulate, Process, Evaluate and Innovate keep human thinking central in every AI-supported task. Linking these steps to the six domains helps safeguard learning quality. Read more »

AI Didactics (professional choices)

Lesson design

How teachers use AI consciously. This lens determines how AI is used safely, purposefully and human-centrically in lessons and tasks. They clarify which decisions only humans can make: why AI is used, how it is integrated, and when human judgement remains essential. Read more »

Policy

AI Policy (conditions & rules)

Norms Governance

What needs to be agreed. Policy per domain sets goals, risks, norms and rules for safe and transparent AI use. The six domains show where AI enters school practice; policy determines under which conditions that use remains responsible. This forms the basis for PDCA and wider governance. Read more »

PDCA (quality assurance)

Improvement cycle

How safe use works in practice. PDCA (Plan, Do, Check, Act) keeps AI use effective and professional through short improvement cycles. Teams stay in control by combining criteria, oversight and regular adjustment. PDCA ensures that policy genuinely works in practice. Read more »

Innovation

Double Diamond (innovation)

Design thinking Experimentation

How teams can explore and design safely. The Double Diamond helps teams discover, design, test and refine AI applications The left diamond explores the real problem; the right diamond develops and tests small prototypes. Ideal alongside PDCA for rapidly evolving AI applications. Read more »