Why Interpreting Learning Analytics To Design And Refine eLearning Is Key

Why Interpreting Learning Analytics To Design And Refine eLearning Is Key
Summary: Data that you don’t understand is just more information. On the other hand, data that you know how to interpret is insight, and it’s insight that can help improve your eLearning. A new downloadable article explains how to use data effectively to measure the performance of your digital learning.

Don’t Underestimate The Power Of Insight: Start Interpreting Learning Analytics

Data is everywhere these days, and when you know how to use data to your advantage, it becomes a powerful tool.

The fourth C in the 5C Framework is Cultivate, which concerns how to use data in a way that helps you measure the success of your eLearning. The new guide from Elucidat explains the different ways you can use data to monitor trends in real-time, understand the behaviors of your learners, and craft your content around their wants and needs.

So, why would you want to do this? Insight like this can help you uncover golden nuggets of information. For example, you could discover that:

  • 8 minutes is the ideal length of time for your eLearning topics (although less in the US).
  • Videos with an interactive element, such as a poll or a question, receive 40% higher uptake than those without one.
  • The drop in engagement you’re seeing after 1 minute is due to confusing copy, which you can easily and quickly edit.

This is where knowledge becomes an indispensable tool for you. It could be the difference between an effective and an ineffective product.

When To Use Learning Analytics In Your eLearning Creation Process

You should use Data and Learning Analytics before creating your eLearning, when your content is live, as an ongoing part of the project.

  • Before creation, use data as a research tool to help inform the design, direction and layout of your eLearning content. Don’t forget to consider the wants and needs of your audience. Auditing the performance of past projects can also be helpful to learn from.
  • Your live date is only just the beginning. Once your content is live, you can find out exactly how your learners are engaging and make continual refinements to improve the effectiveness of your eLearning.
  • On an ongoing basis, you should check in with the Learning Analytics to make sure the content is still meeting your Key Performance Indicators. Implement a continuous cycle, where you use your insight into the performance of this project to inform future content creation.

Collecting And Interpreting Data To Design And Refine Your eLearning

Now that you understand how data can help you achieve success in your digital learning, you need to know exactly how to get that data together, and the metrics you should be looking at, to turn it from information into insight.

cultivate guide

Elucidat’s new guide will help you:

  • Prioritize the most relevant data available to you.
  • Choose areas in which to make refinements.
  • Focus your content around what matters to your learners, whilst also meeting your Key Performance Indicators.
  • Identify reasons for trends or low performance and understand how to make improvements.

After all, the last thing you need is more information overload. Read more on How to use learning analytics to improve elearning.