This year, I gave a talk on nonverbal prediction at BUCLD.
Below are an abstract and slides for reference. I’m working on this paper with Lauren Emberson, Alexa Romberg, and Casey Lew-Williams, so stay tuned for the publication.
Prediction may be a language learning mechanism. This idea is supported by research showing that children with larger vocabularies (MCDI, PPVT) generate verbal predictions while processing language, and flexibly update predictions in light of new information. But do predictions support language learning, or vice-versa? In the present study, we assessed nonverbal prediction and vocabulary (MCDI) in 12-24-month-old infants (n=50). Infants with larger vocabularies efficiently updated nonverbal predictions in light of new information. This work reveals that links between prediction and language learning extend beyond the verbal domain, and are apparent even in infancy. Given the vast potential for making inaccurate predictions, the ability to continuously update predictions may be crucial for learning. In ongoing experiments, I am exploring the complex relations between language input, nonverbal prediction, verbal prediction, and language learning.