Data for article: "Using mental computation training to improve complex mathematical performance"
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Data for article "Using mental computation training to improve complex mathematical performance" in PLOS ONE (under review). In a previous study, mental computation training (extensive practice on multi-digit addition and subtraction problems) led to improvements on more complex forms of mathematics. These mathematical improvements were associated with improvements in numerical precision. In the current study, we investigated whether these transfer and precision effects would replicate with a more diverse population (recruited through Amazon Mechanical Turk), or when core learning features of the training (i.e., immediate feedback, outcome uncertainty, rewards) were removed. We found significant improvements in transfer and precision after participants completed the mental computation training, suggesting robust effects. Data includes the mental computation training task, the complex math (transfer) task, and the number comparison task.
提供机构:
figshare
创建时间:
2016-01-19



