Learning Curve

Learning Curve

A Learning Curve is a graphical representation of the increase of learning (vertical axis) with experience (horizontal axis). The term was first used by psychologist Hermann Ebbinghaus in the late 19th century. The concept is used in many fields such as psychology, education, economics, and medicine to measure performance over time.

Overview

The learning curve demonstrates that, over time, tasks often become easier and less time-consuming as the person or organization becomes more experienced. This is due to the fact that with each repetition of a task or process, a person can identify improvements which increase efficiency and decrease effort.

Types of Learning Curves

There are two main types of learning curves: the positive or exponential learning curve, and the negative or logarithmic learning curve.

Positive or Exponential Learning Curve

In a positive or exponential learning curve, performance improves rapidly at first and then the rate of improvement slows down. This is often seen in situations where a new skill is being learned.

Negative or Logarithmic Learning Curve

In a negative or logarithmic learning curve, performance improvement is slow at first but the rate of improvement increases over time. This is often seen in situations where a skill is being refined or perfected.

Applications

Learning curves have a wide range of applications. In business, they are used to predict progress and set goals. In education, they are used to assess student progress. In medicine, they are used to track patient recovery.

See Also

• Experience curve effects
• Economies of scale
• Educational psychology
• Forgetting curve

References

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