LEARNING HUB

Research-led explanations of human capacity, learning and technological change. Start with the foundations, then follow the evidence and related ideas as the Learning Hub grows.

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Self-concordant goals

Someone signs up for a professional qualification because it fits work they care about. A colleague signs up for the same course mainly to avoid…

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Self-control

A person wants to finish a report but keeps opening a distracting site. Another wants to eat differently and passes a tempting bakery on the way home.…

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Human-centred Technological Development

Human-centred technology is not technology that merely feels friendly. It is a development approach in which human needs, rights, capabilities, contexts, and consequences remain part of the system from problem definition through deployment and correction.

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A verification-before-belief loop

Verification can be treated as a repeatable sequence rather than a last-minute correction: pause, identify the claim and stakes, trace provenance, seek independent evidence, calibrate confidence, then decide what to believe or do. The sequence is an evidence-aware application, not a validated named protocol.

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The Impact of Generative AI on Critical Thinking: CHI 2025

A 2025 CHI study of 319 knowledge workers found that confidence in generative AI was associated with less self-reported critical-thinking enactment and lower perceived effort, while workers described a shift from producing work to verifying, integrating and stewarding AI output. The study is important, but it is a survey of perceived practice, not a causal test of whether generative AI erodes critical-thinking ability.

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Capacity versus knowledge

Knowledge is what a person can understand, remember or explain. Capacity concerns what they can reliably perceive, select, regulate and do with that knowledge in the conditions where it matters. The distinction is useful, but the two are interdependent rather than opposing categories.

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