Skilld AI creates learning paths and content based on the current skill levels of our learners

Using the scoring matrix we create a skill profile of every user / learner in our system. The code evaluations help us arrive at this scoring matrix. (how we evaluate code - read this blog post)

Subsequently, we develop a course comprising a sequence of tasks and assignments that learners must fulfil. Each of these courses undergoes manual evaluation to ensure that the content's quality aligns with the user's profile before it is delivered
     
Multiple courses are laid out and a learning path and a progress chart is created. This data helps us gauge the progress of the learner overtime

As a learner completes an increasing number of tasks, writes more assignments, and uploads additional code into our system, the complexity of the learning content likewise increases