To make complex knowledge easier to learn, remember, and understand, I've developed a visual system based on cognitive and behavioral psychology. This system helps clarify and visualize expert thought processes (knowledge and reasoning) and expert performance/skills (problem-solving processes).
Knowledge Construction
Humans construct knowledge by forming concepts and connecting them logically. For instance, when observing various types of fish, you gradually develop a conceptual understanding of "fish" as a category. This understanding expands as you relate the concept of "fish" to other associated ideas, such as "animal," "respiration," and "water." Through these logical connections, you build a personal explanation of what defines fish. When asked, "What is a fish?" you might reply: a fish is an animal that breathes through gills and lives underwater. This statement encapsulates the interconnected concepts that collectively form your understanding of fish.
Deconstruct Knowledge and Knowledge Explanation
To explain knowledge, you can deconstruct it into its core concepts and describe the relationships among them. This process involves defining each key concept and mapping out their interconnections, which aids in organizing and deepening comprehension. By representing these links visually, you can clarify complex knowledge structures and improve understanding of how different concepts are related.
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Apply this using AI (LLMs) to extract expert knowledge
The following prompt to use to deconstruct expert knowledge into concepts and explain their connections using AI
Please analyze the following content by:
1. Identify the key concepts presented.
2. For each concept, provide a consise definition or explanation.
3. Describe the relationships and connections between these concepts.
4. Create a simple concept map showing how these ideas are linked.
Write in outline, in Vietnamese language
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This prompt guides the AI to break down the content into its core components, define each concept, explain their interconnections, and visualize these relationships. You can then use this output to create knowledge visual of concept notes and a concept map:
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Concept Notes:
Concept Notes represent the core ideas within a subject area. Each concept note includes a concept name, a simple illustration, and a concise explanation.
This design allows students to quickly review core ideas when they can recall concept names, definitions paired with visual representations.
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Concept Map:
A Concept Map displays the structure of knowledge by identifying main concepts and the logical connections between them. The Concept Map helps students learn by providing an overview of the subject matter and demonstrating how knowledge is constructed by examining the relationships between concepts.
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Effective problem-solving involves identifying the best approach to achieve a specific goal within a given context. Experts refine strategies by experimenting with various solutions to identify the most effective path forward. Through this process, they continuously enhance their problem-solving methodologies, improving performance as their expertise deepens.
Mapping an expert's thought processes, knowledge frameworks, and methods gives learners a pathway to advanced proficiency. This model helps learners understand the steps experts take, the execution of each action, and the reasoning behind each decision.
Expert insights into problem-solving are highly valuable, in knowledge market offering practical applications and a clear route to mastering complex problem-solving skills. These insights are also marketable, as the public places significant trust in expert credibility.