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Cognitive Learning01:21

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
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While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
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Updated: Apr 19, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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Evidence for online processing during causal learning.

Pei-Pei Liu1, Christian C Luhmann

  • 1Department of Psychology, Stony Brook University, Stony Brook, NY, 11794-25001, USA, pei-pei.liu@stonybrook.edu.

Learning & Behavior
|December 10, 2014
PubMed
Summary
This summary is machine-generated.

Cognitive processing during causal learning varies, with inconsistent information demanding more attention. This suggests learning itself, not just memory or attention, drives cognitive effort.

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Area of Science:

  • Cognitive Psychology
  • Learning Science

Background:

  • Existing learning models describe outcomes and mechanisms, but methods offer indirect evidence of cognitive processes.
  • Understanding trial-by-trial cognitive mechanisms in learning is crucial for refining theoretical models.

Purpose of the Study:

  • To directly measure cognitive processing during causal learning.
  • To investigate how different types of covariation information are processed cognitively.
  • To differentiate cognitive processing driven by learning versus other factors like attention.

Main Methods:

  • Utilized a simultaneous secondary task to gauge cognitive load during a causal-learning task.
  • Conducted three experiments to observe cognitive processing variations.
  • Analyzed cognitive processing in response to consistent and inconsistent covariation information.

Main Results:

  • Covariation information is not processed uniformly; processing varies systematically.
  • Inconsistent observations elicit greater cognitive processing than consistent ones.
  • Cognitive processing is primarily driven by the learning process itself, not solely by memory or attention.

Conclusions:

  • Cognitive processing during causal learning is dynamic and sensitive to information consistency.
  • Direct measurement of cognitive effort offers finer insights into learning mechanisms.
  • These findings advance our understanding of the psychological underpinnings of learning.