A simple way to optimize learning efficiency from reading dense textual info


In this post we consider a simple method to optimize learning efficiency from reading dense textual information.

This method is based on the method described in [1]. The author of [1] states: "Paying attention is central to memorization. Trying to read when you can't concentrate is wasting time. Since most people have short attention spans, they should not try to read dense material for more than 10 or 15 minutes at a time. After such a session, they should take a break and quiz themselves on what they just read."

Here are the steps of this method:

1. Find time and a place where you can read without distractions.

2. Read for about 10-15 minutes and pause.

3. Ask yourself the following questions:

  a) How does this information fit what I already know?

  b) How does this information fit what I do not know?

  c) Why did the author say that?

  d) Do I understand what this means?

  e) What is the evidence?

  f) Do I agree with her/his ideas or conclusions?

     f.1) Why I agree or disagree?

     f.2) Are my arguments correct?

     f.3) Is my conclusion about the arguments objective or I just think/believe that my arguments are correct?

  h) What is the practical application of this info?

  i) How much of this do I need to memorize?

  j) How to compress the main idea or conclusion in one sentence?

4. Write the main idea/conclusion as a note into a notebook.

5. Repeat steps 2-4 until the end of one hour of reading.

6. Take a break for about 5-10 minutes after each hour of reading.

7. Check accuracy of the memorized info.

8. Repeat steps 2-7 while you have time to read.

9. Review your notes periodically and check accuracy of the memorized info.

10. Repeat steps 1-9 until you reach the desired level of accuracy.

 

Reference:

1. Memory Power 101: A Comprehensive Guide to Better Learning for Students, Business-people, and Seniors.

W.R. Klemm, DVM, PhD, a.k.a. "Memory Medic", Skyhorse Publishing, 2012

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I_g_o_r
I_g_o_r

I am curious about science, technologies and their applications to solving real problems.


Simple solutions to complex problems
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