Rote, Shallow, and Deep learning

Rote learning is like when you memorize things without really understanding them. It's like repeating information over and over without thinking about what it means or how it connects to other things. For example, if you just memorize a list of vocabulary words in a foreign language without knowing how to use them in sentences or understand the grammar, that's rote learning.

Shallow learning is when you have a basic understanding of something, but it's more about knowing the facts on the surface rather than truly understanding the deeper meaning. An example of shallow learning is when you learn a few common phrases in a language but don't really understand how the words come together or how to create your own sentences.

Deep learning is when you really engage with the material and understand it thoroughly. It's about making connections, thinking critically, and fully comprehending the subject. If you study a language by learning its grammar rules, practicing speaking and writing, and really understanding how the language works, that's deep learning.

When I started learning Chinese, I mostly relied on rote learning. I spent a lot of time memorizing vocabulary lists and repeating them without really understanding what the words meant or how to use them in sentences. I focused only on memorizing the characters without actively practicing how to speak or have meaningful conversations. This approach didn't help me progress beyond basic memorization, and I had difficulty understanding Chinese texts or having conversations with others.

Shallow learning example - Weight lifting: At first, I didn't pay much attention to how I lifted weights. I followed generic workout plans without focusing on proper form or understanding which muscles I was targeting. I just wanted to lift heavy weights without considering the principles of effective training. As a result, I didn't see much progress. It was only when I started learning about proper technique and personalized training that I began to improve and get better results.

Deep learning example - Studying the Book of Mormon:

When I studied the Book of Mormon, I didn't just read it quickly. I took my time to understand what it meant. I learned about the historical background and the messages it wanted to convey. I didn't stop at just understanding the words; I thought deeply about how those teachings could apply to my own life. I reflected on the principles and tried to live by them every day. This deep learning approach helped me understand the Book of Mormon better and made a positive impact on my spiritual growth.