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Related Concept Videos

Cognitive Learning01:21

Cognitive Learning

Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
Purposive Learning01:22

Purposive Learning

E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a bonus...
Observational Learning01:12

Observational Learning

Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning because...
Language Development01:22

Language Development

Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
Cause and Effect01:53

Cause and Effect

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?
Piaget's Stage 2 of Cognitive Development01:14

Piaget's Stage 2 of Cognitive Development

The preoperational stage, the second of Jean Piaget's four stages of cognitive development, spans approximately ages 2 to 7 and is characterized by the emergence of symbolic thinking. During this stage, children use language, images, and symbols to represent objects and concepts, enabling them to engage in imaginative and pretend play. This symbolic thinking supports children's ability to perform make-believe actions, such as imagining a broom as a horse or their hand as a phone, blending...

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Related Experiment Video

Updated: May 8, 2026

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
07:31

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

Children use temporal cues to learn causal directionality.

Benjamin M Rottman1, Jonathan F Kominsky, Frank C Keil

  • 1Section of Hospital Medicine, Department of Medicine, University of Chicago.

Cognitive Science
|August 15, 2013
PubMed
Summary

Children learn causal direction by observing how variables change over time, especially when their states are temporally dependent. This research reveals key strategies for understanding cause and effect in dynamic environments.

Keywords:
Causal directionCausal learningCausal structureInterventionObservationTime

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Portable Intermodal Preferential Looking (IPL): Investigating Language Comprehension in Typically Developing Toddlers and Young Children with Autism
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Portable Intermodal Preferential Looking (IPL): Investigating Language Comprehension in Typically Developing Toddlers and Young Children with Autism

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Related Experiment Videos

Last Updated: May 8, 2026

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
07:31

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm
06:35

Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm

Published on: April 28, 2016

Portable Intermodal Preferential Looking (IPL): Investigating Language Comprehension in Typically Developing Toddlers and Young Children with Autism
10:11

Portable Intermodal Preferential Looking (IPL): Investigating Language Comprehension in Typically Developing Toddlers and Young Children with Autism

Published on: December 14, 2012

Area of Science:

  • Cognitive Psychology
  • Developmental Psychology
  • Causal Inference

Background:

  • Understanding causal relationships is fundamental for human cognition and interaction.
  • Temporal dependency, where variable states influence future states, is common in real-world environments.

Purpose of the Study:

  • To investigate how children learn causal directionality in temporally dependent systems.
  • To identify specific strategies children employ to infer cause-and-effect relationships.

Main Methods:

  • Experiment 1: Children inferred causal direction by comparing variable states before and after interventions.
  • Experiment 2: Children used observational data of variable changes over time to determine causality.

Main Results:

  • Children successfully inferred causal direction using interventions.
  • Children also inferred causality from temporal changes alone, interpreting independent changes as non-causal.
  • Both strategies align with the assumption of temporal dependency.

Conclusions:

  • Children utilize distinct strategies to learn causal direction, leveraging both interventions and temporal dynamics.
  • These findings offer insights into how children build causal models of their environment, particularly in autocorrelated systems.