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Related Concept Videos

Timing and Consequences on Behavior01:08

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In operant conditioning, the timing of reinforcement is crucial. For animals like rats and cats, immediate reinforcement (within a few seconds) is much more effective than delayed reinforcement. For example, a food reward for a rat needs to follow within 30 seconds of pressing a bar to be effective. 
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Related Experiment Video

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The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
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Developmental differences in effects of task pacing on implicit sequence learning.

Amanda S Hodel1, Julie C Markant2, Sara E Van Den Heuvel1

  • 1Institute of Child Development, University of Minnesota Minneapolis, MN, USA.

Frontiers in Psychology
|March 12, 2014
PubMed
Summary
This summary is machine-generated.

Preschoolers show less implicit sequence learning than adults, with pacing significantly impacting their performance. Task demands, like stimulus pacing, influence developmental differences in implicit learning.

Keywords:
developmental invariance hypothesisimplicit sequence learningprobabilistic learningserial reaction time paradigmstatistical learning

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Area of Science:

  • Cognitive Development
  • Neuroscience
  • Developmental Psychology

Background:

  • Implicit learning abilities change across the lifespan, but developmental trajectories are inconsistent.
  • Younger children may be more sensitive to variations in implicit learning task procedures than adults.
  • Serial reaction time (SRT) tasks, often used to measure implicit learning, have employed different pacing methods with varying results.

Purpose of the Study:

  • To compare implicit sequence learning in 4-year-old children and adults using both fixed-paced and self-paced spatial sequence learning paradigms.
  • To investigate how stimulus pacing affects implicit learning in young children compared to adults.
  • To explore developmental differences in implicit learning related to task demands.

Main Methods:

  • A spatial sequence learning paradigm was adapted into fixed-paced and self-paced versions.
  • Participants included 4-year-old children and adults.
  • Implicit sequence learning was assessed by comparing performance across different pacing conditions.

Main Results:

  • Preschool-aged children demonstrated less implicit sequence learning than adults across both pacing conditions.
  • Children showed significantly enhanced implicit learning in the self-paced condition compared to the fixed-paced condition.
  • Adults' implicit learning was less affected by the pacing manipulation.

Conclusions:

  • Developmental differences in implicit sequence learning are evident and are modulated by specific task demands, such as stimulus pacing.
  • The impact of factors like attention and motivation on implicit learning may differ between children and adults.
  • Task design, particularly stimulus pacing, is crucial for accurately assessing implicit learning in young children.