PubMed · 9231441
Using numerosity judgments to determine what is learned during automatization.
Abstract
An important question in learning is the nature of the information required to support skilled, or automatic, performance. In 2 experiments, participants counted patterns of 8-10 objects displayed on a computer screen for 4 sessions of 240 trials each before being transferred to a different set of patterns for a final session of 240 trials. The patterns in the final session differed from those seen in the 4 training sessions in either overall configuration (Experiment 1) or identity of constituents (Experiment 2). Results indicated that both types of information are important in learning and automatization of a counting task and support the idea that what is attended to during training will be necessary to support subsequent automatic performance.
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J T Green. 1997. Using numerosity judgments to determine what is learned during automatization.. https://doi.org/10.1037/%2F0278-7393.23.4.1046
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