New research methods reveal that
babies and young children learn by rationally testing hypotheses, analyzing
statistics and doing experiments much as scientists do
Very young children's learning and
thinking is strikingly similar to much learning and thinking in science,
according to Alison Gopnik, professor of psychology and affiliate professor of
philosophy at the University of California, Berkeley. Gopnik's findings are
described in the Sept 28 issue of the journal Science. She spoke about her work
in a video briefing with NSF.
New research methods and mathematical
models provide a more precise and formal way to characterize children's
learning mechanisms than in the past. Gopnik and her colleagues found that
young children, in their play and interactions with their surroundings, learn
from statistics, experiments and from the actions of others in much the same
way that scientists do.
"The way we determine how they're
learning is that we give them, say, a pattern of data, a pattern of
probabilities or statistics about the world and then we see what they do,"
said Gopnik.
For example, in a series of experiments
Gopnik and her colleagues used machines with the ability to light up and play
music and asked young children to make them go.
"We found that like scientists,
they tested hypotheses about the machines and determined which one was more
likely," said Gopnik.
But before we rush to put toddlers on an
earlier academic track, Gopnik's research shows that encouraging play,
presenting anomalies and asking for explanations prompts scientific thinking
more effectively than direct instruction.
"Everyday playing is a kind of
experimentation--it's a way of experimenting with the world, getting data the
way that scientists do and then using that data to draw new conclusions,"
said Gopnik. "What we need to do to encourage these children to learn is
not to put them in the equivalent of school, tell them things, or give them
reading drills or flash cards or so forth. What we need to do is put them in a
safe, rich environment where these natural capacities for exploration, for
testing, for science, can get free rein."
Gopnik's research was supported by NSF
through the Social, Behavioral and Economic Sciences directorate. In her paper
Gopnik described the work of Laura Schulz of MIT, also supported by NSF through
the Education and Human Resources directorate. Schulz's studies show that
children's play involves a kind of intuitive experimentation where they examine
things and events to discover cause and effect underlying them. A video showing
some of her experiments is attached. It was part of a paper she published in
Science last year, 16-Month-Olds Rationally Infer Causes of Failed Actions.
More details about Gopnik's work are
available in a TED talk she gave last year.
-NSF-
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