“THE BOTTOM LINE IS, IF YOU’RE NOT THE ONE CONTROLLING YOUR LEARNING, YOU’RE NOT GOING TO LEARN AS WELL.”
Juárez Correa didn’t know it yet, but he had happened on an emerging educational philosophy, one that applies the logic of the digital age to the classroom. That logic is inexorable: Access to a world of infinite information has changed how we communicate, process information, and think. Decentralized systems have proven to be more productive and agile than rigid, top-down ones. Innovation, creativity, and independent thinking are increasingly crucial to the global economy.
And yet the dominant model of public education is still fundamentally rooted in the industrial revolution that spawned it, when workplaces valued punctuality, regularity, attention, and silence above all else. (In 1899, William T. Harris, the US commissioner of education, celebrated the fact that US schools had developed the “appearance of a machine,” one that teaches the student “to behave in an orderly manner, to stay in his own place, and not get in the way of others.”) We don’t openly profess those values nowadays, but our educational system—which routinely tests kids on their ability to recall information and demonstrate mastery of a narrow set of skills—doubles down on the view that students are material to be processed, programmed, and quality-tested. School administrators prepare curriculum standards and “pacing guides” that tell teachers what to teach each day. Legions of managers supervise everything that happens in the classroom; in 2010 only 50 percent of public school staff members in the US were teachers.
The results speak for themselves: Hundreds of thousands of kids drop out of public high school every year. Of those who do graduate from high school, almost a third are “not prepared academically for first-year college courses,” according to a 2013 report from the testing service ACT. The World Economic Forum ranks the US just 49th out of 148 developed and developing nations in quality of math and science instruction. “The fundamental basis of the system is fatally flawed,” says Linda Darling-Hammond, a professor of education at Stanford and founding director of the National Commission on Teaching and America’s Future. “In 1970 the top three skills required by the Fortune 500 were the three Rs: reading, writing, and arithmetic. In 1999 the top three skills in demand were teamwork, problem-solving, and interpersonal skills. We need schools that are developing these skills.”
That’s why a new breed of educators, inspired by everything from the Internet to evolutionary psychology, neuroscience, and AI, are inventing radical new ways for children to learn, grow, and thrive. To them, knowledge isn’t a commodity that’s delivered from teacher to student but something that emerges from the students’ own curiosity-fueled exploration. Teachers provide prompts, not answers, and then they step aside so students can teach themselves and one another. They are creating ways for children to discover their passion—and uncovering a generation of geniuses in the process.
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.
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.
