Dynamically guided learning
نویسنده
چکیده
Recent research on human learning has revealed a pervasive ability to track statistical structure in adulthood and infancy. Because statistical information abounds in visual and linguistic structure, statistical learning has potential for playing an important role in the acquisition of complex skill. This chapter summarizes the literature on statistical learning and evaluates it in terms of its potential for circumventing problems that have been traditionally posed for learners, such as over generalization and how learners choose among multiple forms of structure. Empirical findings suggest that statistical learning is highly data driven. Additionally, learning appears to be constrained by preferred structure (structure that is particularly salient or easy to process), but also by the pressures exerted by the environment (learners tend to seek out invariant structure). Learning arises in the interaction of these two forms of constraint, resulting in a dynamically guided process.
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