Optimal lifelong learning from experience, reflection, and 'inner wisdom': The four stages of the human lifecycle revisited (Hardcover) (ISBN-13: 9781764488020)

A new/old, comprehensive, and relevant framework of lifelong education and learning for the remaining 21st Century. A recent groundbreaking study (Nature, 2025) generally confirmed the insights of tradition (i.e. 'the four stages of life' from child to mature adulthood) that as people age the brain as well as human lifecycle undergoes universal basic stages of transformation. This all gives weight to two key arguments of this book. One is that human learning is a lifelong process grounded primarily in actual experience refinable by further thinking framed by particular social contexts (i.e. 'the eight pillars of lifelong education' embracing also adult education and later life learning). And the other is that the cross-cultural experience of human ageing remains an invaluable resource for future human sustainability. But like the 'systems thinking' of many indigenous knowledge systems (with their respect for 'tribal elders' and natural cycles, etc.), the general loss of value for the experience and tacit knowledge of older people has arguably been a key yet reversible factor in the general demoralization of modern society and education. In this way changing cultural systems have ignored and repressed what has always defined the human potential - the capacity to transform experience into relevant knowledge. We investigate here how the lost and hidden (or rather 'forgotten') collective as well as individual 'reservoirs of direct experience' (and the Axial Age traditions of 'inner wisdom') can yet again be harnessed to sustainably transform collective as well as personal futures. This book also addresses some of the biggest challenges to (and deepest mysteries about) life and human nature. It does so to the extent that the human lifecycle might be approached as a natural antidote also to demoralized modern society, digital illusions of experience, and the future misuse of AI.