CanopyLAB’s auto-tagging feature is now available in all languages
If you have ever been on the CanopyLAB platform, you’ve surely come across a knowledge tag. Tags are showcased on your personal profile, and they are a record of what you have accomplished. The courses you have taken, the knowledge that you have gained, and the exercises you have completed to train 21st-century skills.
What are Knowledge Tags?
Knowledge tags symbolize key concepts or themes that learners gain after completing a course. Let’s say you are interested in starting your own business and landed on the course Introduction to Entrepreneurship. The knowledge tags like Investing, Branding and Innovation are shown on the course’s “About Page”, indicating that the learning outcomes include gaining insight on those key introductory principles of entrepreneurship
What is so ground-breaking about the auto-tagging feature in Spanish?
By simply pasting a link into the Materials section the NLP reads the document (or even an uploaded video) and spits out a list of suggested Knowledge Tags -pretty cool if you ask us.
We use Natural Language Processing (NLP) to meta-tag and catalog all of your uploaded course content (videos, audio files, texts, links to external articles, etc.). That helps administrators keep track of what your users learn, and help us automatically transfer their accomplishments, for example, the knowledge tags, onto their personal profile. This feature is pretty essential when you enable adaptive learning because it then differs what content each user is exposed to, so the ability to automatically keep track of everything saves teachers and HR from a lot of manual work.
This feature is pretty essential when you enable adaptive learning because it then differs what content each user is exposed to, so the ability to automatically keep track of everything saves teachers and HR from a lot of manual work.
Why is tagging of learning materials important you might wonder?
There are many reasons why using NLP in a learning context has incredible potential. I’ve listed the top three reasons that make me very excited below:
- Our NLP feature enables more accurate mapping of the content of your learning materials (videos, texts, audio, etc.) than when it is tagged by a human.
- That’s a bold statement, I know. It also reduces a lot of (boring) manual work because you don’t have to tag the materials yourself.
- Finally, we often see that in a university course or when our clients use the CanopyLAB platform for ongoing skills-training in a corporate context, the courses consist of so many materials, that the teacher or HR consultants don’t have a chance to read or watch all of the assigned materials and therefore can’t tag it accurately. Now, our customers in Latin America don’t have to.