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Related Concept Videos

Purposive Learning01:22

Purposive Learning

209
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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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 Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

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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...
975
Mnemonic Devices01:23

Mnemonic Devices

188
Mnemonic devices are cognitive tools that facilitate memory retention by linking new information to familiar patterns or organizational strategies. These techniques are beneficial for remembering complex or lengthy sets of information by simplifying and structuring them in easily retrievable ways.
Acronyms
Acronyms are created by using the initial letters of a series of words to form a new word or phrase. This approach condenses complex information into a single, memorable entity. For example,...
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Associative Learning01:27

Associative Learning

597
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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Elaborative Rehearsals01:07

Elaborative Rehearsals

138
Elaborative rehearsal is a crucial cognitive strategy that strengthens information encoding in long-term memory by making meaningful connections between new data and pre-existing knowledge. This approach contrasts with maintenance rehearsal, which involves simple repetition without delving into the significance of the information. While maintenance rehearsal might temporarily keep information active in short-term memory, it is less effective for long-term retention.
The effectiveness of...
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Related Experiment Video

Updated: Sep 17, 2025

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

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Using must-have and can-have features to improve conceptual learning.

Catherine L Williams1,2, Claire C St Peter1, Michael Perone1

  • 1West Virginia University, Morgantown, WV, USA.

Journal of the Experimental Analysis of Behavior
|June 30, 2025
PubMed
Summary
This summary is machine-generated.

Including nonexamples in conceptual learning practice significantly boosts learning outcomes. Using nonexamples similar to the target concepts yields the most effective and efficient instruction, enhancing understanding and retention.

Keywords:
conceptsgeneralizationinstructional designnonexamplesstimulus control

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Area of Science:

  • Cognitive Psychology
  • Educational Psychology
  • Learning Sciences

Background:

  • Conceptual learning is often taught using examples and nonexamples with learner feedback.
  • Optimal selection and differentiation of examples and nonexamples for effective conceptual learning remain unclear.
  • The degree of dissimilarity between examples and nonexamples is a critical, yet unknown, factor.

Purpose of the Study:

  • To investigate the impact of nonexamples, and their similarity to examples, on conceptual learning.
  • To compare learning outcomes across practice conditions including similar nonexamples, dissimilar nonexamples, or examples only.
  • To assess the influence of stimulus features on conceptual learning efficacy and efficiency.

Main Methods:

  • Six experiments were conducted using arbitrary and biological stimuli across three practice conditions.
  • Conceptual learning was assessed pre- and post-practice using novel examples and nonexamples.
  • Testing stimuli included conceptually irrelevant features to evaluate robustness.

Main Results:

  • Including nonexamples in practice enhanced conceptual learning compared to using examples only.
  • Nonexamples that were more similar to the target examples led to the most robust conceptual learning.
  • Conceptually irrelevant features in testing stimuli disrupted learning less when similar nonexamples were used in practice.

Conclusions:

  • The inclusion of nonexamples, particularly similar ones, is crucial for effective conceptual learning.
  • Stimulus characteristics in both practice and testing phases significantly affect learning efficiency and efficacy.
  • Instructional design should carefully consider the selection and similarity of nonexamples for optimal concept acquisition.