On the one hand, it's necessary to mark content and tasks according to the elements of this taxonomy. They did it in two steps: first, they analyzed assignment texts, automatically translating them into English if the content was not in English. And then they used crowdsourcing: asking teachers about what they were teaching and students about what they (in their opinion) were learning for each content element.
On the other hand, by taking descriptions/titles of professions and career goals from texts from job sites, they've marked up skills by career goal. And now, when the student chooses their goal and development directions, they learn the skills they need and get personalized content recommendations. What's more, these recommendations begin to follow them everywhere (forming the search output, to course catalog and homepage carousel, and so on)