Learning curves are a natural part of learning any new skill or knowledge. But what exactly are they, and why are they important?
The term “learning curve” is commonly used to describe the rate at which someone acquires a new skill or knowledge. In its simplest form, it is a graphical representation that plots the progress of learning against the time or effort invested.
The curve usually starts low, indicating that the initial stages of learning may yield little visible progress. As one continues to invest time and effort, the curve ascends, illustrating increasing proficiency or understanding.
While the basic concept is straightforward, various factors such as individual aptitude, the complexity of the task, and what resources are available can influence the shape.
The term “steep learning curve” is often used to describe situations where the learning process is challenging or complex. In this context, “steep” implies that a significant effort and time-frame are needed to make real progress.
Graphically, a steep learning curve typically depicts a sharp ascent, indicating that tangible gains in skill or knowledge can be achieved, but often at the cost of higher initial effort. This is contrary to a flatter curve, where progress is more gradual and easier to achieve.
Understanding how to apply learning curves offers several advantages for your business, especially in the context of employee training and development.
Here is a breakdown of the benefits:
In addition to these benefits, making expected learning curves visible can also help businesses to improve employee morale and satisfaction. When people see they are learning and getting better at their jobs, they are generally happier and more motivated. This positive attitude can lead to a more productive and engaged workforce.
Here are a few examples of how learning curves can be observed within digital learning and organisational development. :
Adopting a Learning Management System (LMS)
When a company first implements a new LMS, employees may notice a steep learning curve as they become familiar with the interface and learn how to use the system’s features effectively. With continued use, their proficiency will grow, making it easier to navigate and complete training modules.
Mastering Authoring Tools
Authoring software like Articulate 360 or Vyond requires an initial investment of time and effort to learn. At first, the range of options and functionalities can seem overwhelming. However, as users gain more experience with these tools, they can create increasingly complex and interactive eLearning content.
Transitioning to Remote Work
The shift to remote work has forced many people to adapt to new tools and methods quickly. Initial challenges often include mastering virtual collaboration tools and effective time management. However, with time and practice, these tasks become more routine and second nature.
Learning Curve Theory, originally developed in the field of economics and later adopted in educational psychology, is a framework that combines mathematical models with psychological principles to analyse and predict learning performance over time. The theory was first popularised by Theodore Paul Wright in 1936 for the aircraft industry to describe how each unit of production required less effort than the previous one. It has since been widely applied across various industries, including education, healthcare, and information technology.
While delving too much into Learning Curve Theory might feel a bit esoteric for most business owners, it can help you figure out how fast a skill or knowledge can be learned. This is useful for anyone using digital learning platforms, as it lets you measure and predict how well a training program will work. With this information, you can make better choices for your business, whether it’s training your staff or educating your customers.
The “70% learning curve” refers to the idea that each time you double the number of times a task is performed, it will take 70% of the original time to complete it. In simpler terms, if a job takes 10 hours initially, it would take just 7 hours to do it again.
This concept is more than just a rule of thumb; it has practical implications for how you run your business.
For example, if it takes 10 hours to master the basics of a new eLearning software, then according to a 70% learning curve, it should take 7 hours to reach the same proficiency level when mastering it for the second time.
Understanding the 70% learning curve can help in several ways:
Here are some tips to flatten the learning curve for more effective employee training:
If you’re looking to leverage the full potential of learning curves in your training programmes our digital adoption platform Omniplex Guide can help you to design and deliver optimised learning and development initiatives. Our support, walk-throughs and in-app assistance are designed to boost productivity, and maximise engagement.
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Leena Randhawa
Head of Training
Leena Randhawa is the Head of Learning Solutions at Omniplex Learning, boasting over 11 years of extensive experience in Learning and Development (L&D). She heads a world-class Training Team with a specialised focus on training.
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