Education and learning
Teaching, understanding, inclusion and the conditions that support learning.
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- AI and society — How AI changes learning, work, inquiry and social life.
- Autopoietic ecology — AE concepts and their use across the research programme.
- Education and learning — Teaching, understanding, assessment and inclusion.
- Ethics and governance — Responsibility, fairness, power and accountable decisions.
- Philosophy and consciousness — Mind, experience, process philosophy and systems thinking.
- Knowledge and research — Inquiry, evidence, research practice and knowledge production.
- Organisations and change — Institutions, working practices and lasting change.
- Health, care and wellbeing — Mental health, neurodiversity, care and relationships.
- Political economy and inequality — Work, finance, resources and the distribution of burdens.
- Environment and sustainability — Material dependencies, sustainable practice, repair and reuse.
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Research paper reviews discuss studies and theoretical or methodological papers. Book reviews cover books and edited collections. Essay and report reviews engage public scholarship. Essays and explainers develop EdgeLab’s own arguments and research reflections.
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Research posts: Education and learning
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When does an AI answer become someone’s understanding?
A fluent explanation can open a route into learning. Understanding depends on what people can question, connect and do with it.
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What education makes of AI
How schools and universities turn generative AI into rules, expectations and judgements about learning. An EdgeLab review of Brezovec and colleagues’ research, with reflections on Autopoietic Ecology.
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After the sustainability workshop, who can change the work?
Tags: Autopoietic Ecology · Education and learning · Environment and sustainability · Organisations and change · ReviewsA sustainability workshop may change how colleagues understand one another’s work. Whether that understanding can change a purchasing decision, a staffing allocation or an operating routine is a further question.
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Delegating work to AI: what happens to the learner’s agency?
Tags: AI and society · Autopoietic Ecology · Education and learning · Knowledge and research · ReviewsDelegating a task can create room to think. It can also remove an opportunity to learn. The educational question is how to distinguish those possibilities without assuming that doing everything unaided is the ideal.
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What a student’s AI prompt can—and cannot—tell us
A prompt is a visible part of a learning activity. It is tempting to treat its wording as a direct record of the thinking behind it. The distinction matters when educators use interaction traces to decide who needs help.
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What helps mathematics teachers thrive?
Tags: Education and learning · Health, care and wellbeing · Mathematics education · Reviews · TeachingAn EdgeLab review of Julia L. Hill and Gosia Marschall’s research on mathematics teacher wellbeing, professional purpose and working conditions.
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AI can help students fit in. Who decides what they must fit into?
New research by Steven Watson, Christian Morgner and Erik Brezovec explores how generative AI reshapes participation, recognition and inclusion in education.
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The platform had not arrived, but the school had already moved
Tags: AI and society · Autopoietic Ecology · Education and learning · Organisations and change · ReviewsA three-year ethnography shows how digital platforms can reorganise schools through anticipation and legitimacy before their effects are settled. A critical review asks when atmosphere becomes explanation—and whether schools preserve the capacity to change course.