Non-linear Learning

Youtube pushed me a video about non-linear learning, which is according to it more natural to human's cognitive behavior. The core concept is to make the new knowledge connected(related) to the existing one, just like making a web as a spider. But what if some kind of knowledge is totally new and does not match any existing one, how can we create the relevance? The answer is using 'hypothesis', in which we create a knowledge structure even before we start learning, and gradually correct that hypothesis by learning. Theses can be achieved by following 6 steps:

1. Scope the resource before starting working on the topic.
2. Use skim reading to capture some keywords.
3. Make an unordered list of all keywords and search for the words which are not familiar.
4. Build the hypothetical mind model based on the prior knowledge.
5. Update the mind model by learning.
6. Consolidate the final model.

The motivation behind this method is because the human thinking is actually omnidirectional, but in order to make a clear structure by writing the book, the author has to linearize his thoughts in a way he thinks that it would make the most sense. But this pre-decided structure may not fit into out cognitive schema. So we need the hypothesis which is naturally generate by the brain and just refine/correct it by reading/learning.

If you are familiar with the scientific method you may have already realized the similarity between these two.