Learning has always been a priority for me and I have always placed a high importance on knowledge. My friends jokingly call me a “nerd” because I always do my homework, participate in class, and ask questions when I do not understand something. This has always been first-nature to me; I love to learn. Although doing that extra challenge problem in math class, or researching in my free time about the human body may seem senseless or a waste of time to some people, I know these things will benefit me in the long-run.
The willingness to learn is the foundation for deep learning. One must be prepared dedicate extra time to something they feel passionately about. Through making mistakes and experimenting with new approaches, one enriches their learning process and continues to grow. A positive attitude and commitment to work hard is the epitome of a deeper learning.
As a student, there are so many ideas and concepts that surround us and can be overwhelming. The secret to investigating the ideas of others is to be inquisitive, yet believing. It is extremely difficult to balance these two contradicting ideas, but when one masters this skill they will be able to elaborate upon the ideas of others. Learning from other people is a great way to develop your own ideas as well.
Confidence is a crucial when it comes to your own beliefs. Being confident with your knowledge will lead to new ideas that relate to those of your peers. In addition, confidence will take away any doubt or hesitance. Doubt inhibits learning and often limits people with great ideas. I believe one must be willing to delve into any situation with an open mind and the humility to be able to make mistakes.
There is a considerable difference between avoiding mistakes and making mistakes when it comes to learning. Avoiding mistakes is never a good thing; it denotes that someone is “playing it safe” and is not willing to try a different approach. On the contrary, a student should not be afraid to make mistakes. Making mistakes can lead to new discoveries. Although it may take many trials to finally succeed, deep learning is propelled by correcting the faults of an idea or concept.