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  1. Discovering Psychological Principles by Mining Naturally Occurring Data Sets.Robert L. Goldstone & Gary Lupyan - 2016 - Topics in Cognitive Science 8 (3):548-568.
    The very expertise with which psychologists wield their tools for achieving laboratory control may have had the unwelcome effect of blinding psychologists to the possibilities of discovering principles of behavior without conducting experiments. When creatively interrogated, a diverse range of large, real-world data sets provides powerful diagnostic tools for revealing principles of human judgment, perception, categorization, decision-making, language use, inference, problem solving, and representation. Examples of these data sets include patterns of website links, dictionaries, logs of group interactions, collections of (...)
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  • Testing Theories of Transfer Using Error Rate Learning Curves.Kenneth R. Koedinger, Michael V. Yudelson & Philip I. Pavlik - 2016 - Topics in Cognitive Science 8 (3):589-609.
    We analyze naturally occurring datasets from student use of educational technologies to explore a long-standing question of the scope of transfer of learning. We contrast a faculty theory of broad transfer with a component theory of more constrained transfer. To test these theories, we develop statistical models of them. These models use latent variables to represent mental functions that are changed while learning to cause a reduction in error rates for new tasks. Strong versions of these models provide a common (...)
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