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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.
Tolman introduced the idea that behavior is influenced by...
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Higher Mental Functions of the Brain: Language01:10

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Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
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Higher Mental Functions of Brain: Learning and Memory01:26

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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...
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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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Associative Learning01:27

Associative Learning

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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.
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Neuroplasticity01:01

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Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
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Related Experiment Video

Updated: Oct 14, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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Active math and grammar learning engages overlapping brain networks.

Sara Stillesjö1,2, Linnea Karlsson Wirebring2,3, Micael Andersson2,4

  • 1Department of Applied Educational Science, Umeå University, Umeå, SE 90187, Sweden; sara.stillesjo@umu.se carola.wiklund-hornqvist@umu.se.

Proceedings of the National Academy of Sciences of the United States of America
|November 9, 2021
PubMed
Summary
This summary is machine-generated.

Active learning enhances long-term memory and brain activity in subjects like math and vocabulary. This method boosts performance and neural engagement during retesting, supporting better knowledge retention.

Keywords:
active vs. passive learningevidence-based teachingmemoryneurocognitive

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Educational Science

Background:

  • Long-term memory retention is crucial for effective learning.
  • Understanding the neurocognitive mechanisms underlying active learning is essential for educational strategies.

Purpose of the Study:

  • To investigate the common neurocognitive effects of active learning on long-term memory across different subjects.
  • To compare the impact of active versus passive learning on memory performance and brain activity.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was used to measure brain activity.
  • Participants engaged in active or passive learning tasks in mathematics and vocabulary.
  • Memory performance was assessed via retesting one week after the initial learning phase.

Main Results:

  • Active learning led to significantly higher performance and fronto-parietal brain activity during retesting compared to passive learning.
  • These effects were observed across both mathematics and vocabulary subjects.
  • Findings suggest enhanced formation and reactivation of semantic representations.

Conclusions:

  • Active learning stimulates common neurocognitive processes that support long-term memory retention.
  • These processes, involving semantic representations, are reactivated during retrieval to improve performance.
  • The study highlights the broad educational significance of active learning for promoting sustained knowledge retention.