Human versus Machine: Better Adaption of Pedagogy to AI than to our Kids

According to  research from Carnegie Mellon University kids solve math problems by going through four distinct stages: encoding (reading and understanding the problem); planning (working out how to tackle it); solving (crunching the numbers) and responding (typing in the correct answer). This follows the general path that is set out …

Children’s abilities in focus for the next generation AI

eLearningworld News Children’s abilities next generation AI Josh Tenenbaum, at the Computational Cognitive Science lab at MIT, describing to MIT Technology Review that the next generation AI will have a stronger connection to cognitive science and neuroscience. Professor Tenenbaum explains: “Imagine we could build a machine that starts off like a baby …