Implicit learning involves automatically detecting regularities in our environment. Implicit learning happens largely unintentionally and without awareness. To date, the bulk of research done on implicit learning has not considered individual differences to be of importance. Rather, any individual differences on relevant measures have been considered “noise” caused by error or unexplained variance. This view contrasts with thinking in the area of explicit learning, the conscious effort to learn material. In explicit learning tasks, individual differences are considered a meaningful source of variance. Kaufman et al. aimed to provide evidence indicating that implicit learning is actually an ability that does indeed have meaningful individual differences.
Blogger: Alisha Johnson, Alisha is an honours thesis student working with Dr. Lisa Archibald