I’ve just returned from London from the EdtechXEurope, one of the leading education conferences in Europe along with our CEO, Jaeques Koeman. It was an exciting opportunity to meet different education publishers like Oxford University Press and Sanoma; educational institutions like TES and Kaplan; and over 1,000 EdTech thought leaders.
Publishers, content marketplaces , and various digital providers stopped by our booth to inquire about metadata and express their urgent need for an automated process of metadata tagging their content. We’ve had some eye-opening discussions about the importance of metadata and how metadata can be applied to create personalisation in education.
What I’ve learned from these discussions is that a lot of publishers recognise the need for metadata, but they lack an understanding on where to start properly tagging it with better accuracy. They are typically engaged in some long-lasting project with the aim of devising an all-encompassing metadata taxonomy. Once that taxonomy finished, they hope to explore different ways of implementing this taxonomy across their content.
Indeed a useful, well-designed taxonomy is a prerequisite for creating value from metadata. However, I believe that building the taxonomy should be an iterative process. AI is a huge assistance not only with metadata tagging content but also matching the right content with the right curriculum, hence, accomplishing better accuracy in the taxonomies.
Instead of spending six months in researching a perfect taxonomy that might be impossible to implement anyway when it comes to it, publishers should approach the problem in a more agile way. I believe that publishers and content owners should start with an existing taxonomy, implement it, and only then start adding layers to it as needed.
Take a look how our client accomplished this for inspiration in a case study below:
For example, imagine that a final taxonomy should have three levels of detail. A publisher can begin with the implementation of the top level that comes from a standard set (e.g., national curriculum). Then after some time, move to implement the 2nd level based on the performance of the 1st level.
Overall, if you think you would benefit from fitting the right content to the right curriculum, than I encourage you to check out our demo of 360AI, an artificial intelligence (AI) engine created specifically for educational content providers. The engine helps content managers meta tag their content more accurately and efficiently.
If you're interested in learning more, you can also contact us for more details.
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