Sublime
An inspiration engine for ideas
to learn is to form an internal model of the external world.
Stanislas Dehaene • How We Learn: Why Brains Learn Better Than Any Machine . . . for Now
how to write algorithms that could change their code and get smarter as they develop. We now call this evolutionary programming.
W. Brian Arthur • Complexity Economics: Proceedings of the Santa Fe Institute's 2019 Fall Symposium
Here’s a secret: we have long known how to supercharge education; we just can’t quite pull it off. Benjamin Bloom, an educational psychologist, published a paper in 1984 called “The 2 Sigma Problem.”1 In this paper, Bloom reported that the average student tutored one-to-one performed two standard deviations better than students educated in a conven
... See moreEthan Mollick • Co-Intelligence
In this book I discuss ways in which the computer presence could contribute to mental processes not only instrumentally but in more essential, conceptual ways, influencing how people think even when they are far removed from physical contact with a computer (just as the gears shaped my understanding of algebra although they were not physically pres
... See moreSeymour A Papert • Mindstorms: Children, Computers, And Powerful Ideas

Enfin, dans cet esprit, Skinner a inventé, dès la fin des années soixante, l’enseignement programmé (The Technology of Teaching, 1968), ce qui était une contribution majeure à la pédagogie (traduction française, chez Mardaga, La révolution scientifique de l’enseignement, 1969). Il s’agissait d’un dispositif technique où l’élève devait répondre à de
... See moreOliver Houde • L'école du cerveau: De Montessori, Freinet et Piaget aux sciences cognitives (PSY. Théories, débats, synthèses t. 15) (French Edition)
three different, yet overlapping, frames for redesigning it. They are homo sapiens, homo faber, and homo ludens—or humans who know, humans who make (things), and humans who play.
Douglas Thomas • A New Culture of Learning
Tools For Thought
Michael Tier • 1 card