After figuring a way to create space and protect deep learning, one of the biggest barriers in the deep learning process is that most of the knowledge acquired over time are not accessible in a centralised space.
If there isn’t a central repository of knowledge, we are less likely to retrieve and reflect on them. In fact, one of the biggest leverage you can take is not simply to have more inputs, but by exercising retrieval practice (covered in Tips 5b of Deep Learner web-based workshop).
In gist, retrieval practice is the act of intentionally testing and retrieval what you’ve learned previously has a high yield.
For example, as I’ve been capturing my weekly therapy learnings for some time now (read these posts), randomly pulling out notes from the past helps me front load into my working memory what were previous gems before. Often, when I look at the heading of the learnings, I have no recollection what that was! The side-benefit of having a centralised repository of your knowledge bank? it reminds you that you are slightly smarter than you think you are.
Shallow vs. Deep Learning
It is important to stress that the process of shallow learning is very different from deep learning. Shallow learning is not only superficial, it also lacks the stickiness required for translating this into practical clincial use, when it calls for it. Therefore, deep learning requires a highly curated “bank” that you can visit to retrieve and withdraw, revisit and re-learn at regular intervals. In turn, this practice of retrieval does wonders to your working memory.
For more about this idea on how to extend your mind by centralising your knowledge bank, watch this video in Deep Learner (click below and it will take you into the Deep Learner platform):
Your learnings are orphaned and they need a home, a centralised space designed to hibernate, grow and thrive.
(And it turns out that, there is actually an upside to FORGETTING! Watch this other module in Deep Learner).
In the web-based workshop, we go into the specifics of ways to capture and centralise your knowledge, what and how to read, as well as tapping into what neuroscience and learning sciences is teaching us about the potent effects of dual coding.
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