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Related Concept Videos

Cognitive Learning01:21

Cognitive Learning

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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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A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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Introduction to Learning01:18

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Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
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High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

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Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
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Implicit Memories01:24

Implicit Memories

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Implicit memories, also known as non-declarative memories, are long-term memories that function outside of conscious awareness. These memories influence behavior and skills without explicit knowledge. This type of memory is evident in tasks like playing tennis, snowboarding, and texting. Implicit memory has three subsystems: procedural memory, conditioning, and priming. This type of memory is essential in various activities, from everyday tasks to specialized skills.
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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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Related Experiment Video

Updated: Oct 28, 2025

Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal
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Learning the Abstract General Task Structure in a Rapidly Changing Task Content.

Maayan Pereg1, Danielle Harpaz1, Katrina Sabah2

  • 1Department of Psychology and Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel, 8410501.

Journal of Cognition
|July 19, 2021
PubMed
Summary
This summary is machine-generated.

Humans can learn abstract task structures, crucial for adapting to new situations. A prospective memory demand during learning enhanced abstract task structure acquisition, improving response times.

Keywords:
Rapid Instructed Task Learninginstructions-based performancemultilevel modelingprospective memory

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Area of Science:

  • Cognitive psychology
  • Neuroscience
  • Human learning

Background:

  • Abstract learning is vital for human adaptability and navigating novel tasks.
  • Understanding the mechanisms of rapid task acquisition is key to cognitive research.

Purpose of the Study:

  • To investigate the role of prospective memory in abstract task learning.
  • To determine how intervening tasks influence the learning of new rules.

Main Methods:

  • Utilized a Rapid Instructed Task Learning (RITL) paradigm across five experiments.
  • Implemented short miniblocks with novel stimulus-response rules and an intervening task phase.
  • Employed multilevel modeling to analyze learning effects and prospective memory demands.

Main Results:

  • Inclusion of a prospective memory demand (intervening task) significantly enhanced abstract learning.
  • Participants demonstrated increasingly faster response times as experiments progressed, indicating robust learning.
  • Prospective memory demand was identified as an integral component of the learned abstract task structure.

Conclusions:

  • Prospective memory plays a critical role in strengthening abstract task learning.
  • The RITL paradigm effectively demonstrates how cognitive demands shape learning efficiency.
  • Learned abstract structures can incorporate prospective memory as a learned element.