Indiana University researchers are studying a ground-breaking theory that young children are able to learn large groups of words rapidly by data-mining.
Their theory, which they have explored with 12- and 14-month-olds, takes a radically different approach to the accepted view that young children learn words one at a time — something they do remarkably well by the age of 2 but not so well before that.
Data mining, usually computer-assisted, involves analyzing and sorting through massive amounts of raw data to find relationships, correlations and ultimately useful information. It often is used and thought of in a business context or used by financial analysts, and more recently, a wide range of research fields, such as biology and chemistry. IU cognitive science experts Linda Smith and Chen Yu are investigating whether the human brain accumulates large amounts of data minute by minute, day by day, and handles this data processing automatically. They are studying whether this phenomenon contributes to a “system” approach to language learning that helps explain the ease by which 2- and 3-year-olds can learn one word at a time.
“This new discovery changes completely how we understand children’s word learning,” Smith said. “It’s very exciting.”