How a Radical New Teaching Method Could Unleash a Generation of Geniuses

Wired:

José Urbina López Primary School sits next to a dump just across the US border in Mexico. The school serves residents of Matamoros, a dusty, sunbaked city of 489,000 that is a flash point in the war on drugs. There are regular shoot-outs, and it’s not uncommon for locals to find bodies scattered in the street in the morning. To get to the school, students walk along a white dirt road that parallels a fetid canal. On a recent morning there was a 1940s-era tractor, a decaying boat in a ditch, and a herd of goats nibbling gray strands of grass. A cinder-block barrier separates the school from a wasteland—the far end of which is a mound of trash that grew so big, it was finally closed down. On most days, a rotten smell drifts through the cement-walled classrooms. Some people here call the school un lugar de castigo—“a place of punishment.”

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In 2009, scientists from the University of Louisville and MIT’s Department of Brain and Cognitive Sciences conducted a study of 48 children between the ages of 3 and 6. The kids were presented with a toy that could squeak, play notes, and reflect images, among other things. For one set of children, a researcher demonstrated a single attribute and then let them play with the toy. Another set of students was given no information about the toy. This group played longer and discovered an average of six attributes of the toy; the group that was told what to do discovered only about four. A similar study at UC Berkeley demonstrated that kids given no instruction were much more likely to come up with novel solutions to a problem. “The science is brand-new, but it’s not as if people didn’t have this intuition before,” says coauthor Alison Gopnik, a professor of psychology at UC Berkeley.

Gopnik’s research is informed in part by advances in artificial intelligence. If you program a robot’s every movement, she says, it can’t adapt to anything unexpected. But when scientists build machines that are programmed to try a variety of motions and learn from mistakes, the robots become far more adaptable and skilled. The same principle applies to children, she says.

Read the whole story: Wired