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Related Concept Videos

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...
Associative Learning01:27

Associative Learning

Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
Steps in the Modeling Process01:14

Steps in the Modeling Process

Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
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...
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...
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...

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Related Experiment Video

Updated: May 12, 2026

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
10:39

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

Published on: May 3, 2018

Modeling human sequence learning under incidental conditions.

F Yeates1, F W Jones, A J Wills

  • 1School of Psychology, University of Exeter, UK.

Journal of Experimental Psychology. Animal Behavior Processes
|April 17, 2013
PubMed
Summary
This summary is machine-generated.

Associative learning aids human sequence learning. Participants trained on "different" sequences learned faster and better than those trained on "same" sequences, contrary to prior predictions.

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Last Updated: May 12, 2026

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Behavioral Science

Background:

  • Human sequence learning is complex.
  • Associative learning mechanisms may underlie sequence learning.
  • Previous models had limitations in explaining incidental sequence learning.

Purpose of the Study:

  • To investigate the role of associative learning in human sequence learning under incidental conditions.
  • To compare sequence learning performance between groups trained on different types of subsequences.
  • To evaluate the predictive accuracy of computational models for human sequence learning.

Main Methods:

  • Two-choice serial reaction time tasks were used.
  • Participants were divided into experimental groups (trained on "Same" or "Different" subsequences) and a control group (pseudorandom sequence).
  • Sequence learning was assessed by comparing performance during a test phase.

Main Results:

  • Both experimental and control groups demonstrated sequence learning.
  • The group trained on "Different" subsequences showed significantly enhanced learning speed and accuracy.
  • This finding contrasted with predictions from a previously used computational model.

Conclusions:

  • Associative learning, particularly with distinct subsequences, enhances human sequence learning under incidental conditions.
  • A reparameterized computational model with a more realistic stimulus representation better predicts human performance.
  • Findings suggest the importance of specific learning paradigms and model architectures for understanding human sequence learning.