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Related Concept Videos

Cognitive Learning01:21

Cognitive Learning

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...
Observational Learning01:12

Observational Learning

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 because...
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...
Steps in the Modeling Process01:14

Steps in the Modeling Process

Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
Associative Learning01:27

Associative Learning

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...
Self-Regulation01:25

Self-Regulation

Self-regulation, also known as self-control, encompasses a range of cognitive and behavioral processes that allow individuals to adjust their internal states and outward actions to align with socially acceptable norms and long-term goals. It plays a fundamental role in adaptive functioning, from resisting impulsive behaviors to persisting through challenging tasks. While its benefits are widely recognized, self-regulation is not limitless. Muraven and Baumeister's theory posits that...

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Related Experiment Video

Updated: Jun 1, 2026

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

A mechanistic foundation for instructor-regulated collective learning.

David W Brooks1, John Markwell

  • 1Department of Teaching, Learning, and Teacher Education, Lincoln, Nebraska 68588. dbrooks@unlserve.unl.edu.

Biochemistry and Molecular Biology Education : a Bimonthly Publication of the International Union of Biochemistry and Molecular Biology
|June 4, 2011
PubMed
Summary
This summary is machine-generated.

Expert students self-regulate learning, while instructors can foster collective learning. This research introduces the interactive compensatory model, highlighting how instructors can regulate group learning dynamics for improved performance.

Related Experiment Videos

Last Updated: Jun 1, 2026

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

Area of Science:

  • Cognitive Psychology
  • Educational Psychology
  • Neuroscience

Background:

  • Theories of memory and learning influence how students acquire knowledge.
  • Conscious and unconscious factors, both internal and external, can impact learning processes.
  • The connectionist view of memory emphasizes interconnectedness and adaptive learning.

Purpose of the Study:

  • To introduce the interactive compensatory model of learning.
  • To explore the role of self-regulation in expert versus naive students.
  • To propose methods for instructor-regulated collective learning in educational settings.

Main Methods:

  • Review of memory and learning theories.
  • Introduction of the interactive compensatory model.
  • Analysis of self-regulation in undergraduate students.
  • Proposal of instructor-regulated collective learning strategies.

Main Results:

  • Expert students demonstrate significant self-regulation abilities, enhancing academic performance.
  • Naive students lack comparable self-regulation skills.
  • Instructors can leverage environmental dynamics to regulate collective learning.
  • Three interfaces for instructor-regulated collective learning are identified.

Conclusions:

  • The interactive compensatory model provides a framework for understanding regulated learning.
  • Metacognitive strategies and instructor guidance are crucial for effective learning.
  • Instructors can play a vital role in optimizing group learning outcomes.