Difference Between Deep Learning and Surface Learning

The depth is the actual amount of data that a student goes through while learning something.

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Education Quiz

Test your knowledge about topics related to education

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What is the study of government and political systems called?

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Which is the first country to have a public education system?

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The purpose of the evaluation is to make?

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When should a teacher and a pupil hold a case conference?

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What is the capital of the country Greece?

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We've all heard of a pandemic, but what is an 'infodemic'?

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GPA is considered important as it is required for taking admission into the Bachelor's and Master's degree programme. State true or false. 

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Which of the following is NOT a 21st-century skill?

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Deep Learning vs Surface Learning

The difference between deep learning and surface learning is that deep learning is the process of critically analyzing and understanding the material being studied. On the other hand, surface learning is the process of getting an idea of the study material, by reading through and understanding the concepts. This is a passive approach to learning the material.

Deep Learning vs Surface Learning

Deep learning is the process of actively collecting as well as analyzing the material being studied.

It is the process of outlining the material being studied, without spending much time on the material, while trying to cover as much material as possible. 

Comparison Table

Parameters of ComparisonDeep LearningSurface Learning
DefinitionDeep learning is the process of actively collecting information as well as analyzing the study materialSurface learning is the process of understanding the general idea of the study material, by passively reading through the concepts
Thinking processCritical thinking is required while deep learningPassive thinking is present while surface learning
TargetPerformed to completely understand and analyze the study materialPerformed to obtain a general idea about the study material
Learning processConstant thinking and rumination of the data being studiedOnly reading and getting the general idea of the topic is required
SituationsMost often observed in case of doctors and scientists, and other critical environmentsObserved in everyday situations, where critical thinking is not required

What is Deep Learning?

Deep learning is a critical learning process where the main objective is to collect, analyze and ruminate the data constantly, to completely understand the study material.

It is the process of understanding everything about the subject being learned, the concepts, the examples, case studies, etc.

In the aforementioned environments, constant analysis of data is the key aspect, as well as keeping in touch with all the different changes happening in the field of study.

deep learning

What is Surface Learning?

Surface learning is the process of understanding the general idea of the study material by passively reading through the concepts.

The learner tries to understand the general concept of the subject, before comprehensively studying the subject.

In such situations, a new learner would try to create a general understanding of the subject, before deep-diving into the subject.

surface learning

Main Differences Between Deep Learning and Surface Learning

  1. Constant thinking and rumination is part of Deep learning. Only reading is performed in Surface learning
  2. Deep learning is commonly observed among doctors and scientists and people working in such critical environments. Surface learning is observed in everyday situations, where critical thinking is not needed.
Difference Between Deep Learning and Surface Learning

References

  1. https://books.google.com/books?hl=en&lr=&id=omivDQAAQBAJ&oi=fnd&pg=PR5&dq=deep+learning&ots=MNP0cmnIOT&sig=MLWtSt4PGAuLzzOd1KrOs9BpZ-M
  2. https://www.nature.com/articles/nature14539
  3. https://www.tandfonline.com/doi/abs/10.1080/096392897331587
  4. https://link.springer.com/article/10.1007/s10459-015-9645-6
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