Learning Curve Training & Development
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Learning curve
From Wikipedia, the free encyclopedia
For other uses, see Learning curve (disambiguation).
A Learning Curve is a graphical representation of the increase of Learning (Vertical axis) with Experience (Horizontal axis). | Fig 1: Learning curve for a single subject, showing how Learning improves with Experience | | Fig 2 : A learning curve expressed as a mathematical function | | Fig 3 : The metric for Learning can be Increasing or Decreasing | |
Although the curve for a single subject may be erratic (Fig 1), when a large number of trials are averaged a smooth curve results, which can be described with a mathematical function (Fig 2). Depending on the metric used for Learning (or Proficiency) the curve can either rise or fall with experience. (Fig 3).
The term Learning Curve is used in two main ways : where the same task is repeated in a series of trials, or where a body of knowledge is learned over time.[1] The first person to describe the learning curve was Hermann Ebbinghaus in 1885, in the field of the psychology of learning, although the name wasn't used until 1909.[2][3] In 1936, Theodore Paul Wright described the effect of learning on production costsin the aircraft industry.[4] This form, in which Unit Cost is plotted against Total Production, is sometimes called an Experience Curve.
The familiar derogatory expression "but it has a steep learning curve" is intended to mean that the activity is difficult to learn. In fact, it means the exact opposite : if the curve is steep then one makes rapid progress.[5][6] Contents [hide] * 1 Learning curve in psychology * 2 Learning curve (or experience curve) in economics * 3 Learning curve examples and mathematical modelling * 4 Learning curve in machine learning * 5 Broader interpretations of the learning curve * 6 General learning limits * 7 In culture * 7.1 "BUT it has a steep learning curve" in product
Learning curve
From Wikipedia, the free encyclopedia
For other uses, see Learning curve (disambiguation).
A Learning Curve is a graphical representation of the increase of Learning (Vertical axis) with Experience (Horizontal axis). | Fig 1: Learning curve for a single subject, showing how Learning improves with Experience | | Fig 2 : A learning curve expressed as a mathematical function | | Fig 3 : The metric for Learning can be Increasing or Decreasing | |
Although the curve for a single subject may be erratic (Fig 1), when a large number of trials are averaged a smooth curve results, which can be described with a mathematical function (Fig 2). Depending on the metric used for Learning (or Proficiency) the curve can either rise or fall with experience. (Fig 3).
The term Learning Curve is used in two main ways : where the same task is repeated in a series of trials, or where a body of knowledge is learned over time.[1] The first person to describe the learning curve was Hermann Ebbinghaus in 1885, in the field of the psychology of learning, although the name wasn't used until 1909.[2][3] In 1936, Theodore Paul Wright described the effect of learning on production costsin the aircraft industry.[4] This form, in which Unit Cost is plotted against Total Production, is sometimes called an Experience Curve.
The familiar derogatory expression "but it has a steep learning curve" is intended to mean that the activity is difficult to learn. In fact, it means the exact opposite : if the curve is steep then one makes rapid progress.[5][6] Contents [hide] * 1 Learning curve in psychology * 2 Learning curve (or experience curve) in economics * 3 Learning curve examples and mathematical modelling * 4 Learning curve in machine learning * 5 Broader interpretations of the learning curve * 6 General learning limits * 7 In culture * 7.1 "BUT it has a steep learning curve" in product