[[Learning]] tags:: #on/learning | #on/training | #on/expertise | #note/thing | #on/change people:: %% # Chunking %% Lon Setnik dates:: 2022-04-18 *How to become an expert, use context to have lots of information be one source of meaning in your working memory.* This reminds me of "making smaller circles" the chapter in [[The Art of Learning]]. This is closely related to the ideas of working memory. Interestingly, experts can't remember more positions on a chess board if the positions are random, in fact, it's actually harder for them to remember random than beginners. However, they can remember lots of pieces when there is context because they can record the meaning. The fact that they cannot recall as many as the beginners when they are random pieces is the [[expertise reversal effect]]. It's kind of like phone numbers, and how you can remember old phone numbers easily. They have meaning connected to them. This is a form of moving working memory. Chunking is the ability to create "one thing" out of a cluster of data as a form of learning. It's one of several [[Mental Model]] for how learning happens and how collecting data can get easier over time. This matters because It's a form of developing expertise. It can be a form of bias or place you at risk of [[confirmation bias]] if you try to fit your model into a chunk that it does't actually fit. This reminds me of [[SimZones]], moving from Zone 1 only when you have learned that chunk. ### What would the opposite argument be? You should try to gather as much information as possible in order to learn what you can. ## Sources: [[The Art of Learning]]