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Understanding the Behaviourist Approach and Types of Learning

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Types of Machine Learning

Positive Reinforcement

Receiving a reward when a certain behaviour is performed.

Negative Reinforcement

Involves the removal of an unpleasant consequence.

Punishment

An unpleasant consequence of behaviour.

Learning through Reinforcement in Psychology

Positive and negative reinforcement increases the likelihood that behaviour will be repeated. Punishment decreases the likelihood that behaviour will be repeated. Animals involved are exposed to stressful conditions, which may have affected how they reacted to the situation. Animal studies may not be generalizable to humans, so studies have less validity.

Example of Learning through Reinforcement

The dogs were placed in a sealed room (avoiding extraneous variables). The dog was presented with food and it salivated. They were presented with a neutral stimulus of a bell - they didn't salivate. The food and bell were then presented together. The dog was then presented with the bell alone.

Operant Conditioning

Involves the cognitive approach that emphasizes the importance of mental processes during learning. It suggests that learning is an active process where behavior is shaped by consequences. Behaviorists view humans as passive and machine-like responders to the environment. They ignore other factors influencing learning, such as cognitive factors.

Classical Conditioning in Psychology

Classical conditioning has been applied to treating phobias, etc. It is a way of explaining behavior in terms of what's observable in terms of learning. Early behaviorists, like Watson, rejected introspection, as it involved vague concepts difficult to measure. They try to maintain control and objectivity within their research, relying on lab experiments.

Reinforcement Learning Example

The dogs eventually learned to associate the sound of the bell with food in Pavlov's dogs study. This shows that a neutral stimulus can come to elicit a new learned response through association.

Types of Human Learning

There are four types of machine learning: classical conditioning, operant conditioning, observational learning, and insight learning. Classical conditioning examples can be found in everyday life, such as associating the sound of an alarm with waking up in the morning.

Types of Behavioral Theories

Behaviorist psychologists focus on studying observable and measurable behavior. They see all behavior as determined by past experiences, for example, reinforcement history.

Implications of Behaviorism in the Classroom

Real-life applications of behaviorism include the basis of the successful token economy systems in institutions. Behaviorism was able to bring the language and methods of the natural sciences into psychology, giving psychology credibility and status.

Conclusion

In conclusion, behaviorism has its strengths and limitations. It was influential in the development of psychology as a scientific discipline by emphasizing the importance of scientific processes like objectivity and replication. However, it has its limitations, such as assuming all behavior can be broken down into stimulus-response and ignoring that humans have free will.

Summary - Psychology

  • Machine learning involves positive reinforcement, negative reinforcement, and punishment
  • Positive and negative reinforcement increase the likelihood of behavior being repeated
  • Classical conditioning and operant conditioning are types of human learning
  • Behaviorist psychologists focus on studying observable and measurable behavior
  • Behaviorism has strengths and limitations in psychology
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Uploaded by Amy Breen

145 Followers

I’m a year 13 sixth form student studying psychology, sociology and criminology

Frequently asked questions on the topic of Psychology

Q: What are the four types of machine learning?

A: The four types of machine learning are classical conditioning, operant conditioning, observational learning, and insight learning.

Q: What is reinforcement learning in psychology?

A: Reinforcement learning in psychology involves positive and negative reinforcement to increase the likelihood of behavior being repeated and punishment to decrease the likelihood of behavior being repeated.

Q: Can you provide an example of learning through reinforcement?

A: An example of learning through reinforcement is Pavlov's dogs study, where the dogs associated the sound of a bell with food through repeated conditioning.

Q: What are the implications of behaviorism in the classroom?

A: Real-life applications of behaviorism in the classroom include successful token economy systems and bringing the language and methods of the natural sciences into psychology.

Q: What are the types of human learning according to behaviorist psychologists?

A: According to behaviorist psychologists, the types of human learning include classical conditioning, operant conditioning, observational learning, and insight learning.

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The behaviourist approach

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Psychology

 

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Amy Breen

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<h2 id="typesofmachinelearning">Types of Machine Learning</h2>
<h3 id="positivereinforcement">Positive Reinforcement</h3>
<p>Receiving a rew

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Types of Machine Learning

Positive Reinforcement

Receiving a reward when a certain behaviour is performed.

Negative Reinforcement

Involves the removal of an unpleasant consequence.

Punishment

An unpleasant consequence of behaviour.

Learning through Reinforcement in Psychology

Positive and negative reinforcement increases the likelihood that behaviour will be repeated. Punishment decreases the likelihood that behaviour will be repeated. Animals involved are exposed to stressful conditions, which may have affected how they reacted to the situation. Animal studies may not be generalizable to humans, so studies have less validity.

Example of Learning through Reinforcement

The dogs were placed in a sealed room (avoiding extraneous variables). The dog was presented with food and it salivated. They were presented with a neutral stimulus of a bell - they didn't salivate. The food and bell were then presented together. The dog was then presented with the bell alone.

Operant Conditioning

Involves the cognitive approach that emphasizes the importance of mental processes during learning. It suggests that learning is an active process where behavior is shaped by consequences. Behaviorists view humans as passive and machine-like responders to the environment. They ignore other factors influencing learning, such as cognitive factors.

Classical Conditioning in Psychology

Classical conditioning has been applied to treating phobias, etc. It is a way of explaining behavior in terms of what's observable in terms of learning. Early behaviorists, like Watson, rejected introspection, as it involved vague concepts difficult to measure. They try to maintain control and objectivity within their research, relying on lab experiments.

Reinforcement Learning Example

The dogs eventually learned to associate the sound of the bell with food in Pavlov's dogs study. This shows that a neutral stimulus can come to elicit a new learned response through association.

Types of Human Learning

There are four types of machine learning: classical conditioning, operant conditioning, observational learning, and insight learning. Classical conditioning examples can be found in everyday life, such as associating the sound of an alarm with waking up in the morning.

Types of Behavioral Theories

Behaviorist psychologists focus on studying observable and measurable behavior. They see all behavior as determined by past experiences, for example, reinforcement history.

Implications of Behaviorism in the Classroom

Real-life applications of behaviorism include the basis of the successful token economy systems in institutions. Behaviorism was able to bring the language and methods of the natural sciences into psychology, giving psychology credibility and status.

Conclusion

In conclusion, behaviorism has its strengths and limitations. It was influential in the development of psychology as a scientific discipline by emphasizing the importance of scientific processes like objectivity and replication. However, it has its limitations, such as assuming all behavior can be broken down into stimulus-response and ignoring that humans have free will.

Summary - Psychology

  • Machine learning involves positive reinforcement, negative reinforcement, and punishment
  • Positive and negative reinforcement increase the likelihood of behavior being repeated
  • Classical conditioning and operant conditioning are types of human learning
  • Behaviorist psychologists focus on studying observable and measurable behavior
  • Behaviorism has strengths and limitations in psychology
user profile picture

Uploaded by Amy Breen

145 Followers

I’m a year 13 sixth form student studying psychology, sociology and criminology

Frequently asked questions on the topic of Psychology

Q: What are the four types of machine learning?

A: The four types of machine learning are classical conditioning, operant conditioning, observational learning, and insight learning.

Q: What is reinforcement learning in psychology?

A: Reinforcement learning in psychology involves positive and negative reinforcement to increase the likelihood of behavior being repeated and punishment to decrease the likelihood of behavior being repeated.

Q: Can you provide an example of learning through reinforcement?

A: An example of learning through reinforcement is Pavlov's dogs study, where the dogs associated the sound of a bell with food through repeated conditioning.

Q: What are the implications of behaviorism in the classroom?

A: Real-life applications of behaviorism in the classroom include successful token economy systems and bringing the language and methods of the natural sciences into psychology.

Q: What are the types of human learning according to behaviorist psychologists?

A: According to behaviorist psychologists, the types of human learning include classical conditioning, operant conditioning, observational learning, and insight learning.

Can't find what you're looking for? Explore other subjects.

Knowunity is the # 1 ranked education app in five European countries

Knowunity is the # 1 ranked education app in five European countries

Knowunity was a featured story by Apple and has consistently topped the app store charts within the education category in Germany, Italy, Poland, Switzerland and United Kingdom. Join Knowunity today and help millions of students around the world.

Ranked #1 Education App

Download in

Google Play

Download in

App Store

Still not sure? Look at what your fellow peers are saying...

iOS User

I love this app so much [...] I recommend Knowunity to everyone!!! I went from a C to an A with it :D

Stefan S, iOS User

The application is very simple and well designed. So far I have found what I was looking for :D

SuSSan, iOS User

Love this App ❤️, I use it basically all the time whenever I'm studying