OUR FRAMEWORK

The Learning to Be Human Framework

Nine human capabilities. A shared language for strengthening them through everyday learning and work in an AI-shaped world.

For educators, parents and leaders developing the next generation.

Build on what you already do.

Human capability grows when we ask questions, make choices, work through disagreements and respond to feedback.

The framework helps educators, parents and workplace mentors recognise these opportunities, name the capabilities being practised and strengthen them through existing lessons, conversations, projects and responsibilities.

A shared language makes that development easier to discuss, reflect on and carry into new situations, at every stage of learning.

Start with what you already do. Make the human learning within it more intentional.

Preparation starts before the technology.

Children and young people can develop the capabilities to use AI thoughtfully before using it themselves.

These foundations grow through play and conversation, classroom inquiry, university projects and workplace mentoring. Across every stage, the aim is to practise thinking, building relationships and making decisions with increasing independence.

As AI becomes part of learning and work, those capabilities need continued practice in new and unfamiliar contexts.

Build the judgement before handing over the keys. Keep strengthening it afterwards.

THE NINE CAPABILITIES

Nine capabilities. Three connected domains.

Choose a setting to explore practical examples.

Use these examples within existing activities. Adapt the challenge and support to the learner.

Self

How we understand and manage ourselves.

Presence

Managing attention and emotions so we can engage thoughtfully.

Why it matters with AI

Instant answers can make it tempting to move past difficulty before understanding develops. Presence helps learners manage attention, notice frustration and stay with a problem long enough to think it through.

Agency

Making intentional choices, taking initiative and accepting responsibility.

Why it matters with AI

AI can suggest what to do next. Agency helps learners set their own goals, decide when assistance is useful and take responsibility for choices made with it.

Judgement

Weighing evidence, considering context and making thoughtful decisions.

Why it matters with AI

A convincing AI answer may still contain errors, bias or missing context. Judgement helps learners check evidence, question assumptions and explain why an answer deserves their trust.

Society

How we relate, collaborate and contribute.

Connection

Understanding others, building trust and developing meaningful relationships.

Why it matters with AI

AI can simulate attentive conversation. Connection helps learners build relationships with people through mutual care, boundaries and the experience of navigating different needs, perspectives and disagreements.

Collaboration

Combining perspectives and strengths to work towards a shared goal.

Why it matters with AI

Working through separate AI assistants can keep thinking private and assumptions unchallenged. Collaboration brings ideas into the open, helping people question one another, combine perspectives and develop shared understanding.

Impact

Using our capabilities to make a meaningful contribution to others.

Why it matters with AI

AI makes it easier to produce more. Impact helps learners ask what is worth doing, whose needs they can serve and whether their work makes a useful difference.

Future

How we adapt, imagine and see connections.

Adaptability

Adjusting our thinking and approach in response to change and feedback.

Why it matters with AI

AI is reshaping how we learn, work and relate to one another. Adaptability helps learners navigate ongoing technological and social change, reconsider familiar approaches and keep learning as roles and expectations shift.

Creative Innovation

Using curiosity and imagination to develop, test and improve ideas.

Why it matters with AI

AI can offer ideas quickly. Creative innovation helps learners move beyond the first suggestion, draw on their own experiences and develop a distinctive response through exploration, testing and refinement.

Systems Thinking

Understanding how different parts influence one another and shape wider outcomes.

Why it matters with AI

An AI tool can improve one task while changing work and learning elsewhere. Systems thinking helps learners trace those connections, recognise trade-offs and anticipate consequences beyond the immediate result.

Grounded in familiar practice.

The examples draw on modelling, guided practice, feedback, reflection and increasing independence. The framework gives adults a shared language for connecting these practices with human capability.

Bring the framework to life.

Explore the Learning to Be Human keynote and half-day or full-day workshops for adults developing the next generation.

Tailored to primary, secondary, university and graduate development settings.