Content metadata: a recap on why you should really automate content labelling

In the past few weeks, we've discussed several types of metadata that benefit from automated labelling: the CEFR, keywords, topic, and learning objectives. Of course, there are many other types of metadata. But the ones we've addressed have a few things in common. It's difficult to use them efficiently, and they're usually not created in an objective, consistent manner. That is why it's so interesting to automate these labels. Not only is automation innovative and impactful, but it also significantly enriches learning materials.

Let's do a recap and consider what the future has in store!

Improved availability of information

With the demand for personalisation and new business models increasing, publishers find themselves faced with new challenges. Filtering and labelling learning materials is an intricate, time-consuming endeavour that is prone to inconsistency. If done manually, it's impossible to create, manage, and distribute personalised learning materials at scale.

And that's a problem. Because today, nearly every organisation that deals with large quantities of digital or e-learning materials aims to provide a content aggregation and distribution platform. Their goal is to create a one-stop shop that enables users to find personalised or targeted teaching materials quickly and easily. Such companies are built on three pillars. They all have one thing in common: automated labelling. Because well-organised metadata at the most granular level is the number-one ingredient for becoming future-proof.

Those who interweave automated labelling into their content offering will improve their ability to analyse and curate materials. All stakeholders benefit: it's easier for publishers and content creators to make learning materials available, while teachers and students can quickly find what they're looking for.

The improved availability of information results in increased speed and quality, allowing publishers to offer personalised learning — which is what target audiences expect in this day and age.

Continuous development

When it comes to automated labelling, there's considerable room for expansion. Many types of labels can be expanded, especially those in the areas of languages and curricula. But modern content aggregation companies already use automated labelling in inventive ways, and they’re well on their way!