a paragraph on could robot replace teachers in future
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Some nations will have a tougher time meeting these goals than others. As of 2014, roughly nine percent of primary school-aged children (ages 5 to 11) weren’t in school, according to the same UNESCO report. For lower secondary school-aged children (ages 12 to 14), that percentage jumps to 16 percent. More than 70 percent of out-of-school children live in Southern Asia and Sub-Saharan Africa. In the latter region, a majority of the schools aren’t equipped with electricity or potable water, and depending on the grade level, between 26 and 56 percent of teachers aren’t properly trained.
To meet UNESCO’s target of equal access to quality education, the world needs a lot more qualified teachers. The organization reports that we must add 20.1 million primary and secondary school teachers to the workforce, while also finding replacements for the 48.6 million expected to leave in the next 13 years due to retirement, the end of a temporary contract, or the desire to pursue a different profession with better pay or better working conditions.
In the future, more and more of us will learn from social robots, especially kids learning pre-school skills and students of all ages studying a new language.
This is just one of the scenarios sketched in a review essay that looks at a "new science of learning," which brings together recent findings from the fields of psychology, neuroscience, machine learning and education.
The essay, published in the July 17 issue of the journal Science, outlines new insights into how humans learn now and could learn in the future, based on various studies including some that document the amazing amount of brain development that happens in infants and later on in childhood.MORE
Research at the University of Washington Institute for Learning & Brain Sciences shows that infants can learn foreign speech sounds when they interact with a live human being in a social setting. But infants under 1-year-old do not seem to learn language when they are read to over TV. The children stare at the TV and even point to it. They seem visually attentive to the images that flow past, but learn no language. Scientists think that social interaction with a live human being is crucial for learning to take place in children under 1 year.Credit: University of Washington Institute for Learning & Brain Sciences.In the future, more and more of us will learn from social robots, especially kids learning pre-school skills and students of all ages studying a new language.
This is just one of the scenarios sketched in a review essay that looks at a "new science of learning," which brings together recent findings from the fields of psychology, neuroscience, machine learning and education.
The essay, published in the July 17 issue of the journal Science, outlines new insights into how humans learn now and could learn in the future, based on various studies including some that document the amazing amount of brain development that happens in infants and later on in childhood.
AdvertisementThe premise for the new thinking: We humans are born immature and naturally curious, and become creatures capable of highly complex cultural achievements — such as the ability to build schools and school systems that can teach us how to create computers that mimic our brains.
With a stronger understanding of how this learning happens, scientists are coming up with new principles for human learning, new educational theories and designs for learning environments that better match how we learn best, says one of the essay's authors, psychologist Andrew Meltzoff of the University of Washington's Learning in Informal and Formal Environments (LIFE) Center.
And social robots have a potentially growing role in these future learning environments, he says. The mechanisms behind these sophisticated machines apparently complement some of the mechanisms behind human learning.
One such robot, which looks like the head of Albert Einstein, was revealed this week to show facial expressions and react to real human expressions. The researchers who built the strikingly real-looking yet body-less 'bot plan to test it in schools.
Machine learning
In the first 5 years of life, our learning is "exhuberant" and "effortless," Meltzoff says. We are born learning, he says, and adults are driven to teach infants and children. During those years and up to puberty, our brains exhibit "neural plasticity" — it's easier to learn languages, including foreign languages. It's almost magical how we learn a foreign language, what becomes our native tongue, in the first two or three years we're alive, Meltzoff said.
Magic aside, our early learning is computational, Meltzoff and his colleagues write.
Children under three and even infants have been found to use statistical thinking, such as frequency distributions and probabilities and covariation, to learn the phonetics of their native tongue and to infer cause-effect relationships in the physical world.
Some of these findings have helped engineers build machines that can learn and develop social skills, such as BabyBot, a baby doll trained to detect human faces.
Meanwhile, our learning is also highly social, so social, in fact, that newborns as young as 42 minutes old have been found to match gestures shown to them, such as someone sticking out her tongue or opening his mouth, Meltzoff and a colleague reported more than a decade ago.
Imitation is a key component to our learning — it's a faster and safer way to learn than just trying to figure something out on our own, the authors write.
Even as adults, we use imitation when we go to a new setting such as a dinner party or a foreign country, to try and fit in. Of course, for kids, the learning packed into every day can amount to traveling to a foreign country. In this case, they are "visiting" adult culture and learning how to act like the people in our culture, becoming more like us.