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Related Concept Videos

Purposive Learning01:22

Purposive Learning

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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...
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Cognitive Learning01:21

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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.
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Reinforcement

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Positive and negative reinforcement are key concepts in operant conditioning, a learning process where the consequences of a behavior affect the likelihood of that behavior being repeated.
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
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Reinforcement Schedules01:24

Reinforcement Schedules

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Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
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Incentive theory, or the "pull theory" of motivation, suggests that external rewards primarily drive behavior. Individuals are motivated to engage in activities when they anticipate a desirable outcome. This is why people often work hard for promotions or study intensively to achieve high grades. These incentives can be tangible, physical rewards such as money or promotions, or intangible, non-physical rewards like praise and social recognition.
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Primary and Secondary Reinforcers

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In psychology, reinforcement is a key concept in behavior modification. B.F. Skinner demonstrated this with his experiments involving rats in what is known as a Skinner box. The rats learned to press a lever to receive food, a primary reinforcer that fulfilled their innate need for nourishment.
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Studying Food Reward and Motivation in Humans
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Value-directed learning: Schematic reward structure facilitates learning.

Katie M Silaj1, Karina Agadzhanyan2, Alan D Castel2

  • 1Department of Psychology, University of California, Los Angeles, CA, 90095, USA. kmsilaj@ucla.edu.

Memory & Cognition
|March 9, 2023
PubMed
Summary
This summary is machine-generated.

Participants learned to prioritize high-value words in memory tasks by understanding category-based reward structures. Explicit instructions and visible value cues improved selective memory and learning of these reward schemas.

Keywords:
LearningMetacognitionSchematic supportValue-directed remembering

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Area of Science:

  • Cognitive Psychology
  • Memory Studies
  • Learning Sciences

Background:

  • Value-directed remembering involves prioritizing high-value items for better memory recall.
  • Understanding item importance is crucial for efficient learning and memory organization.
  • Categorization aids in structuring information and forming mental models.

Purpose of the Study:

  • To investigate if selective memory for value-directed word lists transfers to learning the underlying "schematic reward structure."
  • To examine the impact of explicit category instructions and visible value cues on learning reward schemas.
  • To determine if participants can learn schematic reward structures with fewer trials and adapt to new themes.

Main Methods:

  • Participants studied word lists where values were assigned based on category membership.
  • Experiment 1 manipulated explicit schema instructions and the presence of visible value cues during encoding.
  • Experiment 2 used fewer study trials and no explicit instructions, focusing on adaptation with task experience.

Main Results:

  • Explicit schema instructions and visible value cues significantly benefited learning and memory.
  • These benefits persisted even after a short delay.
  • Participants successfully learned the schematic reward structure with fewer study trials, and value cues facilitated adaptation to new themes.

Conclusions:

  • Selective memory in value-directed tasks can lead to the learning of underlying reward structures.
  • Both explicit guidance and immediate feedback (value cues) enhance the learning of these schemas.
  • Task experience and value cues promote adaptation to changing reward structures, demonstrating flexible learning.