I'm organizing this topic by questions that I'd like to answer. The questions that I'm ultimately interested in are:
- [[How do people learn?]]
- [[How to support learning?]]
The above questions are too broad to tackle directly, so I'm trying to answer several intermediate questions first:
- [[How to define learning?]]
- [[How to measure learning?]]
- [[Why does learning matter?]]
- [[What are the desired outcomes of learning?]]
- [[What are the mechanisms of learning and how do they work?]]
- [[What are the different types of learning?]]
- [[What perspectives on learning do different academic disciplines provide?]]
- [[What is the set of learning principles that multiple disciplines agree and converge on?]]
- [[What are the major theories of learning?]]
- [[What are the necessary and sufficient conditions for learning?]]
- [[What are the most effective learning strategies?]]
- [[What are the timescales of learning?]]
- [[What are the different levels of analysis (or scale) of learning?]]
- [[What are the limits of learning?]]
- [[What are common failure modes in learning?]]
- [[How much do individuals differ in how they learn?]]
- [[How do different environments contribute to learning?]]
- [[Who are the world's best learners, and what makes them effective?]]
- [[How do AI systems learn? Where does this overlap with versus diverge from how humans learn?]]
- [[How to design learning environments to enhance learning?]]
- List lower-level indices here
### Basic concepts
Below is a list of sources that I'm referring to throughout the individual notes on this topic.
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1. Assembling: add related notes to the MOC
1. Consider using the search bar and then copy search results using wikilink formating.
2. Colliding: arrange the notes in relation to each other, combine or split notes, develop and sharpen notes
3. Unifying: create a formalized structure