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Related Concept Videos

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...
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Higher Mental Functions of Brain: Learning and Memory

Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or playing an...
Introduction to Learning01:18

Introduction to Learning

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.
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Cognitive Learning01:21

Cognitive Learning

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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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Observational Learning01:12

Observational Learning

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Related Experiment Video

Updated: May 15, 2026

Visual Classical Conditioning in Wood Ants
05:46

Visual Classical Conditioning in Wood Ants

Published on: October 5, 2018

Implicit visual learning and the expression of learning.

Hilde Haider1, Katharina Eberhardt, Alexander Kunde

  • 1Department of Psychology, University of Cologne, Köln, Germany. hilde.haider@uni-koeln.de

Consciousness and Cognition
|December 25, 2012
PubMed
Summary
This summary is machine-generated.

Implicit visual learning is ambiguous, but this study found it is modulated by selective attention. However, attention appears to affect explicit learning, not implicit learning processes.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Perception

Background:

  • Implicit motor learning is established, but implicit perceptual learning findings are inconsistent.
  • Previous research suggests factors like attention and knowledge expression influence perceptual learning.
  • Ambiguity in perceptual implicit learning necessitates further investigation.

Purpose of the Study:

  • To investigate implicit visual learning using the serial reaction time task.
  • To examine the role of selective attention in implicit visual learning.
  • To differentiate between implicit and explicit learning processes under varying attentional demands.

Main Methods:

  • Three experiments utilized the serial reaction time task.
  • Response devices (keyboard vs. mouse) were employed to manipulate selective attention.
  • Reaction times and knowledge assessment were used to measure learning.

Main Results:

  • Visual and motor sequence learning showed differences in reaction time benefits.
  • The amount of knowledge acquired did not differ between visual and motor learning.
  • Selective attention modulated visual sequence learning outcomes.
  • Evidence suggests selective attention impacts explicit, not implicit, learning.

Conclusions:

  • Implicit visual learning is influenced by selective attention, but primarily affects explicit learning.
  • The distinction between implicit and explicit learning mechanisms is crucial for understanding perceptual learning.
  • Future research should consider attentional effects on explicit learning processes.