Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Behavior Modification01:21

Behavior Modification

Behavioral approaches have often been criticized for ignoring mental processes and focusing solely on observable behavior. However, these approaches provide an optimistic perspective for individuals seeking to change their behaviors. Rather than concentrating on intrinsic personality traits, behavioral approaches suggest that even longstanding habits can be modified by changing the reward contingencies that maintain them.
A real-world application of operant conditioning principles is applied...
Behaviorism01:28

Behaviorism

The field of behaviorism was pioneered by figures such as Ivan Pavlov, John B. Watson, and B.F. Skinner fundamentally shifted the focus of psychology to the observable and controllable aspects of human and animal behavior. This shift marked a critical evolution in the discipline, emphasizing scientific rigor and experimental methodology.
The core premise of behaviorism is its focus on observable behavior rather than internal thoughts or feelings. This approach argues that true scientific...
Operant Conditioning Intervention01:24

Operant Conditioning Intervention

Operant conditioning serves as a foundational principle in therapeutic interventions aimed at modifying maladaptive behaviors. Central to this approach is the notion that behaviors, both adaptive and maladaptive, are learned through reinforcement. By analyzing the environmental factors that reinforce problematic behaviors, clinicians can design interventions to weaken these reinforcements and replace maladaptive behaviors with healthier alternatives.
In operant conditioning, behaviors that are...
Reinforcement01:23

Reinforcement

Positive and negative reinforcement are key concepts in operant conditioning, a learning process where the consequences of a behavior affect the likelihood of that behavior being repeated.
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
Law of Effect01:06

Law of Effect

B.F. Skinner, a prominent figure in behavioral psychology, introduced operant conditioning by emphasizing the role of consequences in shaping behavior. This theory builds upon the law of effect proposed by Edward Thorndike, which posits that behaviors followed by satisfying outcomes are likely to be repeated. In contrast, those followed by unsatisfying outcomes are less likely to recur.
Edward Thorndike's foundational work involved studying learning in animals, particularly using puzzle boxes...
Generalization, Discrimination, and Extinction01:24

Generalization, Discrimination, and Extinction

Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The experimental analysis of verbal behavior.

The Analysis of verbal behavior·2012
Same author

On the difference between verbal and nonverbal behavior.

The Analysis of verbal behavior·2012
Same author

Post-session verbal reports and the experimental analysis of behavior.

The Analysis of verbal behavior·2012
Same author

Rules as classes of verbal behavior: A reply to Glenn.

The Analysis of verbal behavior·2012
Same author

Transfer of function across members of an equivalence class.

The Analysis of verbal behavior·2012
Same author

Nonverbal behavior correlated with the shaped verbal behavior of children.

The Analysis of verbal behavior·2012
Same journal

An Internal and Critical Review of the PEAK Relational Training System for Children with Autism and Related Intellectual Disabilities: 2014-2017.

The Behavior analyst·2020
Same journal

Self-Control Based on Soft Commitment.

The Behavior analyst·2020
Same journal

Behavioral Pragmatism: Making A Place for Reality and Truth.

The Behavior analyst·2020
Same journal

The Challenges of Integrating Behavioral and Neural Data: Bridging and Breaking Boundaries Across Levels of Analysis.

The Behavior analyst·2020
Same journal

Automating Scoring of Delay Discounting for the 21- and 27-Item Monetary Choice Questionnaires.

The Behavior analyst·2020
Same journal

The Future of Behavior Analysis: Foxes and Hedgehogs Revisited.

The Behavior analyst·2020
See all related articles

Related Experiment Video

Updated: May 23, 2026

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

Using computers to teach behavior analysis.

E Shimoff1, A C Catania

  • 1Department of Psychology, University of Maryland Baltimore County, Baltimore, Maryland, USA. shimoff@umbc.edu

The Behavior Analyst
|April 6, 2012
PubMed
Summary
This summary is machine-generated.

Computer simulations offer effective behavior analysis training when live organisms are impractical. This technology enables teaching contingency-shaped behavior and reinforcement schedule discrimination in lecture settings.

More Related Videos

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
16:23

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

Related Experiment Videos

Last Updated: May 23, 2026

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
16:23

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

Area of Science:

  • Behavior analysis education
  • Computer-based learning

Background:

  • Traditional behavior analysis training often requires extensive laboratory experience with live organisms.
  • Lecture-based courses typically focus on rule-governed behavior, limiting practical skill development.

Purpose of the Study:

  • To present the development of computer-based tools for behavior analysis education.
  • To demonstrate the utility of simulations for teaching complex behavioral concepts.

Main Methods:

  • Development of computerized shaping simulations.
  • Creation of software for discriminating reinforcement schedules using cumulative records.

Main Results:

  • Computer programs effectively demonstrate and simulate behavioral principles.
  • Software facilitates the establishment of contingency-shaped behavior in lecture environments.
  • Students can learn to discriminate reinforcement schedules via cumulative records using the developed software.

Conclusions:

  • Computer simulations provide a viable alternative to traditional laboratory experiences in behavior analysis.
  • Digital tools enhance pedagogical approaches, enabling practical skill acquisition in diverse educational settings.