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33 lines
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33 lines
2.3 KiB
Org Mode
:PROPERTIES:
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:ID: 1a6187c9-6c79-4378-bf8d-935c8a3d9167
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:END:
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#+title: When learning a new skill, begin with a specific end-goal to create a solid starting point
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#+date: "2020-07-08 22:42:47 +08:00"
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#+date_modified: "2021-05-07 22:35:55 +08:00"
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#+language: en
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This top-bottom learning approach (i.e., specific to general topics) is often used by self-learners.
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It usually involves something like wanting to create a 2.5D fighting game rivalling [[https://en.wikipedia.org/wiki/Arc_System_Works][Arc System Works]], a gorgeous anime-inspired illustration, [[https://www.youtube.com/watch?v=TF9I1GxNdJQ][a flashy short animation]], or [[https://www.youtube.com/watch?v=ZwR0zFe57Y4][a cool-looking demoscene]].
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Most of the time, skill acquisition happens with the following workflow.
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- Document your specific example (e.g., a website, a drawing, a 3D scene).
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You can [[id:0dbfee88-cdce-48d1-9a10-23fc12d9bcd5][Refer to advanced resources when skill-building for a solid short-term goal]] to clear your specific example similar to a final proof-reading before you submit your paper.
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- Then, try to learn the specific example.
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- For every unknown part of the example, try to understand the underlying concepts.
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If the underlying concept is not yet understood, then dig deeper into understanding the underlying concept of that underlying concept ad infinitum.
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- With the tree of to-be-understood underlying concepts, take a peek between each underlying concepts of various depths until you can easily see the connections between them.
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- Work your way up the knowledge tree you've just created until you can reproduce/create the example with your newfound hierarchical knowledge.
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You still do some form of the above workflow subconsciously with the goal of being familiar to a specific topic.
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Eventually, you take the time to improve it further, making [[id:d885e93b-f919-4338-a6b9-3438538e18c0][Every copy of the techniques is personalized]].
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The gist of the above list is to [[id:92a10fe2-f4d1-4e5e-b5f4-3779db13a2e5][Create roadmaps to stay on track]].
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Not every attempts of skill acquisition is suitable with this workflow with some skills need more experiments than others.
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The above workflow is more suitable to acquire advanced skills than entry-level skills where aiming for a perfect first try is (obviously) not an attractive goal.
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