Material: pen, paper.
1, draw the thick trunk and tiny branches of the knowledge tree first.
2. Then draw the leaves tightly together, like a big blue flower.
3. Then color the branches brown and leave a blank area in the middle.
Finally, color the leaves green and leave a blank area to write down what you have learned.
Matters needing attention in drawing mathematical knowledge tree
1. Define the theme: First, determine the theme or field of the mathematical knowledge tree you want to draw, such as algebra, geometry, calculus, etc.
2. Determine the core concepts: determine and list the core concepts of this topic, such as equations, plane geometry, derivatives, etc. These core concepts will become the root nodes of your knowledge tree.
3. Divide sub-concepts: further divide each core concept into more specific sub-concepts. For example, in the field of geometry, you can further divide plane geometry into triangles, circles, polygons and so on.
4. Determine the relationship: determine the relationship between each concept, for example, whether a concept is a sub-concept of another concept, whether it depends on other concepts, etc. These relationships can be represented by arrows or lines.
5. Draw a knowledge tree: Use drawing software or hand-drawn tools to start drawing a knowledge tree according to your design. According to the relationship and hierarchical structure, draw the root node and its corresponding sub-concept node on paper or computer screen.
6. Tag: Tag each node to show the concept it represents. You can describe each concept with words or phrases.
7. Refine the hierarchy: According to the need, the hierarchy between concepts can be further refined. Calculus, for example, can be subdivided into derivatives to find the law of derivatives, higher derivatives and so on.
8. Adjust the layout: adjust the layout of the knowledge tree to make it have a clear hierarchical structure and readability. For example, put together similar concepts, or put together closely related concepts.
9. Revision and modification: Revise and modify the knowledge tree to ensure its accuracy and completeness. Add missing concepts or adjust the relationship between nodes.