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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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Interference and Decay01:16

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Forgetting is a complex cognitive phenomenon influenced by several factors, among which interference and decay are particularly prominent. These processes explain why individuals often struggle to retrieve specific information from memory, leading to lapses in recall that can be observed in everyday situations.
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Impact of Schemas01:30

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Schemas are cognitive structures that provide a framework for interpreting and organizing social information. They help individuals navigate complex environments by offering expectations about people, events, and behaviors. Schemas influence attention, encoding, and retrieval processes, thereby shaping the entire trajectory of information processing in social contexts.Attention and Cognitive LoadDuring initial attention, schemas function as filters that prioritize schema-consistent information,...
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Forgetting is an intrinsic aspect of human memory, characterized by the gradual loss or inaccessibility of information over time. Hermann Ebbinghaus, a pioneering psychologist, extensively studied this phenomenon and formulated the forgetting curve. This curve illustrates that memory loss occurs rapidly immediately after learning and then decelerates over time. Several mechanisms contribute to forgetting, including encoding failure, storage decay, retrieval failure, and interference.
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Social Cognitive Perspective on Personality01:30

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Social cognitive perspectives on personality emphasize the importance of conscious awareness, beliefs, expectations, and goals in shaping behavior. These perspectives incorporate behaviorist principles, such as learning through reinforcement and conditioning, but extend beyond them by highlighting human reasoning and planning. Unlike traditional behaviorist views, social cognitive theory focuses on how individuals reflect on their past experiences and plan for future outcomes by considering...
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Understanding Memory01:19

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Memory is the retention of information or experiences over time, facilitated through three main processes: encoding, storage, and retrieval. Encoding is the process of inputting information into the memory system. For instance, when listening to a lecture, watching a play, reading a book, or having a conversation, the brain is actively encoding information. This initial stage involves transforming sensory input into a form that can be processed and stored by the brain. Various factors, such as...
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Related Experiment Video

Updated: Sep 19, 2025

The Attentional Set Shifting Task: A Measure of Cognitive Flexibility in Mice
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Cognitive Inertia: Cyclical Interactions Between Attention and Memory Shape Learning.

Brandon M Turner1, Vladimir M Sloutsky1

  • 1Department of Psychology, The Ohio State University.

Current Directions in Psychological Science
|June 19, 2025
PubMed
Summary
This summary is machine-generated.

Selective attention guides focus, but memory shapes relevance. Computational models reveal how past experiences constrain attention, influencing learning and performance for individual learners.

Keywords:
category learningcognitive controleye trackingselective attention

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Area of Science:

  • Cognitive Psychology
  • Computational Neuroscience
  • Machine Learning

Background:

  • Current frameworks for selective attention often overlook real-world constraints.
  • Computational models typically assume perfect feature encoding and accuracy maximization.
  • Existing models inadequately explain attention allocation based on individual learning histories.

Purpose of the Study:

  • To propose a comprehensive view of selective attention by integrating computational modeling with memory.
  • To investigate the interplay between selective attention and memory in human learning.
  • To understand how memory influences the goal-directed nature of attention.

Main Methods:

  • Utilized computational modeling to simulate the interaction between attention and memory.
  • Developed a framework where attention is constrained by memory of past experiences.
  • Analyzed how memory influences the selective allocation of attention.

Main Results:

  • Relevance for attention is established through memories of previous experiences.
  • Attention is initially used for feature encoding and memory creation.
  • Subsequent attention operates selectively based on stored memories, not just task demands.

Conclusions:

  • Selective attention is fundamentally shaped by memory.
  • Deviations from ideal attention allocation are goal-directed, constrained by individual memory.
  • A memory-informed approach is crucial for understanding human attention and learning.