Learning how to learn

Learning how to learn [1] is a course made by Barbara Oakley and Dr. Terrence Senowski pushied by coursera, which aims to give people an understanding in how we as humans learn. The course is science based and dives on how we can benefit of knowing how our brain works, to make learning an approachable task.

Here you will find a resume of what was my findings on my journey as a course student and the insight that I had. Eventhough it is based on the learning how to learn course, I will relate others resources that I found useful for me to build up my learning power ups.

Focused and Diffused mode

The first week focus on the two modes on which we use for learning, the focused mode and the diffused mode. Focused mode, is what most of the students do and think about learning, it is the act of writting something or reading. In other words, you focus on a single activity.

Diffused mode, is the counter part, is the mode in which we do not focus, usually it is more general, we want to see the big picture instead of focusing on the bits.

As a programmer I often relate to the diffused mode when I am struggling in solving a problem. I remember often having issues to fix a bug or implement a new feature all day long, after leaving the office, and going back on the next day, I had it done in less than one hour.

[1] says that we alternate between those two modes, and both are needed for learning. I mentioned that I felt this switch on a work life basis, but it is possible to short this cycle and keep repeat it many times a day.

The pomodoro technique is a methodology that helps to time frame this mode changes. The rule is simple, focus for 25 minutes and diffuse for 5, and repeat.

Chunking

Chuncking is the buillding blocks of learning new things, it is known as the bits that are needed in order to connect them and learn. I relate to this technique with Test Driven Development (TDD) [2].

Following TDD is the art of start small and evolve the code, piece by piece, using small units. There is no way to know big concepts without the small pieces that make it up.

Deliberate practice

Deliberate practice is the act of focusing on a specific task with a clear objective in order to improve the understanding of the desired subject. For example, thefollowing list are examples of those tasks:

  • Study new algorithm
  • Study a new framework
  • Studying math solving problems

It’s important to mentoin that deliberate practice should have some structure in order to achieve the desired goal. For example, learning a new algorithm may require other areas to master before diving into that. Also, the exposure to what you do with that new information is part of the deliberate practice. For example, after understanding the algorithm, giving a talk, discussing that with someone are ways to practice deliberately.

Final considerations

Learning is a continuous process that starts when are born, even since that momento we start learning everything about our surroundings, light, wind, taste, people and much more.

As the life goes by, the learning approach changes as we already master all those, we might start leveling up our game. In the college, it might be that math classes, in the university it might be any subject related to the area you want to master.

The key idea from all the course, at least for me, is to understand how we think, use memory, procrastinate, make new connections in the brain and much more, to use that in our favor, seeking the balance between learning new thinks and mastering what we migh already have.

References

  1. [1]B. Oakley and D. T. Sejnowski, “Learning How to Learn: Powerful mental tools to help you master tough subjects,” 2021 [Online]. Available at: https://www.coursera.org/learn/learning-how-to-learn. [Accessed: 25-Jul-2021]
  2. [2]K. Beck, TDD by example. Addison-Wesley Professional, 2000.

Appendix

  1. This post was created inspired by the course and the talk I gave to share what I learned in the course