RESOURCE: Using Learning Analytics To Improve Content Authoring
Why You Should Use Learning Analytics To Improve Content Authoring
As technology progresses, today’s learners expect more than ‘click next’ e-learning. With more options than ever before available to instructional designers and authoring tools boasting increasingly advanced capabilities, we are able to create our most sophisticated, effective e-learning content yet. With a growing appetite for personalized e-learning, how can we ensure that our content authoring enables us to give our learners what they want?
Choosing the right tool for content authoring
There are many tools available on the market claiming to offer access to learning analytics. However, in reality, much of this will only be outdated, surface-level SCORM data. While it can be useful to know how long it took someone to complete a course or who has not yet taken a module, there is much more we can do with this data. The newest e-learning content authoring tools come with advanced analytics functionality to allow us to understand trends in our data quickly and easily. This is the first step towards creating personalized learning. The more we know about our learners, the more tailored our learning experiences will be.
Learning analytics are often overlooked, but are an invaluable way to help us make the most of our content authoring. Using data about our own learners gives us the opportunity to create learning which hones in on the specific requirements of our audience. For example, many tools now enable us to identify trends such as how many people in a certain country have completed our courses, what device types they are using (desktop, tablet or smartphone) or which specific questions people are struggling with. This helps inform our future projects for learning that better suits our target groups, with a view to achieving better results.