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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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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.
Classical conditioning, also known...
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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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Observational Learning01:12

Observational Learning

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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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Introduction to Learning01:18

Introduction to Learning

841
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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Theory of Attribution II: Kelley's Covariation Theory01:29

Theory of Attribution II: Kelley's Covariation Theory

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Attribution theory plays a crucial role in social psychology, helping to explain how individuals interpret the causes of behavior. One prominent model within this field is Harold Kelley's covariation theory, which provides a systematic approach to determining whether internal traits or external circumstances drive a person's actions. The model posits that individuals rely on three key types of information—consensus, consistency, and distinctiveness—to make these judgments.Consensus:...
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Related Experiment Video

Updated: Dec 28, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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Instructor-learner brain coupling discriminates between instructional approaches and predicts learning.

Yafeng Pan1, Suzanne Dikker2, Pavel Goldstein3

  • 1School of Psychology and Cognitive Science, Shanghai Changning-ECNU Mental Health Center, East China Normal University, Shanghai, China; Neuropsychology and Functional Neuroimaging Research Unit (UR2NF), ULB Neuroscience Institute (UNI), Université Libre de Bruxelles, Bruxelles, Belgium; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Neuroimage
|February 19, 2020
PubMed
Summary
This summary is machine-generated.

Brain-to-brain coupling, measured using functional near-infrared spectroscopy, reflects effective instructor scaffolding during learning. This neural synchrony predicts learning outcomes and aids in decoding teaching methods.

Keywords:
Brain-to-brain couplingDecodingInstructionSocial interactive learningfNIRS hyperscanning

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Area of Science:

  • Neuroscience
  • Education

Background:

  • Understanding the neural basis of effective teaching is crucial for optimizing learning.
  • Naturalistic learning environments present complex challenges for studying instructor-learner interactions.

Purpose of the Study:

  • To investigate the neural mechanisms underlying effective pedagogical approaches.
  • To examine the relationship between brain-to-brain coupling and learning outcomes during instructor-learner dyads.

Main Methods:

  • Simultaneous functional near-infrared spectroscopy (fNIRS) was used to record brain activity in instructor-learner pairs.
  • Researchers analyzed brain-to-brain coupling during dynamic conceptual learning tasks.
  • Machine learning was employed to decode instructional approaches from neural data.

Main Results:

  • Brain-to-brain coupling positively correlated with learning outcomes.
  • Scaffolding behaviors (e.g., guiding questions) by instructors enhanced brain-to-brain coupling.
  • Explanation-based teaching (e.g., providing definitions) did not enhance coupling.
  • Machine learning models more accurately decoded instructional strategies using brain-to-brain coupling than single-brain data.

Conclusions:

  • Brain-to-brain coupling is a sensitive neural measure of effective pedagogical interactions, particularly scaffolding.
  • This neural synchrony reflects constructive engagement rather than simple information transfer.
  • Inter-brain neural dynamics offer insights into the mechanisms of successful teaching and learning.