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All notes that are related to each other are grouped together in a box.
A dedicated box is assigned for each section of notes which cuts down the time needed for reading and reviewing.
Apps are especially helpful for this method because content on the page can be reordered or resized subsequently.
It is an ideal method for notes that involve a lot of information in form of facts and statistics, that need to be learned by heart.
The information will be organized in several columns, similar to a table or spreadsheet. Each column represents a unique category which makes the rows easily comparable.
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Even in an age where laptops rule, notetaking is still the tool of choice for highly successful students, entrepreneurs, and leaders.
Tim Ferris attributes his notetaking style as one o...
This simple and highly systematic note-taking method helps you to understand key ideas and relationships easily. Best used for:
Read over your notes in the left-hand column and summary at the bottom as often as possible. Quiz yourself with the questions you've included in the left column. Repeat often to increase your recall and deepen your comprehension.
Is a linear method of taking notes that proceeds down the page, using indentation or bullets to denote major and minor points.
Pros: it records content relationship in a way tha...
The goal is to jot down your thoughts as quickly as possible. Format is kept to a minimum: every new thought is written on a new line.
Pros: Is like free writing for notes.
Cons: lack organization and notes can be hard to understand.
Works for: meetings or lectures that lack organization; when information is presented very quickly.
Works for: dense written material.
Preparation steps before a note-taking session:
Taking a structured approach to note-taking is the best way. Put the outline notes by choosing four or five key points of the lecture, followed by in-depth sub-points. One way to review is to use the Cornell Method, which divides the note sheet into three sections:
The mind map is a visual diagram of abstract concepts.
It works best in subjects like chemistry, history and philosophy, subjects having a neural network like interlocked and complex topics.