Why Some Learn Quickly and Others Struggle with Complex Abstractions: A Journey Through Learning Styles
Understanding the vast differences in learning styles and their impact on how individuals approach complex abstractions can shed light on why some individuals seem to grasp new information rapidly, while others take a more gradual, detailed approach. This article explores why there are people who can learn really fast but are not as near smart as those who learn more slowly but understand complex abstractions.
Skills and Tools: The Basis of Fast Learning
Learning quickly is a skill in itself, not a reflection of sheer intelligence. Learning rapidly is akin to acquiring a toolbox of skills and tools. Mathematics, for example, is a powerful tool that allows us to analyze and manipulate variables within equations. A skill in mathematics involves the ability to derive complex formulas and solve sophisticated problems by applying these tools. Quick learners are often still in the process of development and may plateau. However, over time, these individuals can master a plethora of complex abstract skills. Conversely, slower learners tend to be more resilient, working diligently and tirelessly to understand the intricate details of information.
Pushing the Limits of the Comfort Zone
Often, quick learners might experience a sensation akin to dizziness or a headache when they push their cognitive boundaries. This experience, where complex problem-solving feels almost overwhelming, can potentially deter them from further intellectual pursuit. In my own experience, I was a quick learner who struggled with the mental strain of solving certain calculus problems. Initially, I would feel a sense of intoxication or even physical discomfort as if my brain was melting. This intense focus and the subsequent cognitive overload could be counterproductive, leading to exhaustion and a reluctance to continue.
However, those who are slower learners usually adopt a more meticulous approach, carefully assessing numerous variables and examining the underlying reasons for complex information. This method often leads them to a deeper understanding of the subject matter. In contrast, quick learners might focus on a linear, straightforward approach, following instructions without questioning the underlying principles.
The Importance of Understanding Over Memorization
Memorization is a rapid method of learning but does not always lead to a deep understanding of the subject matter. This is particularly true for complex abstractions where a conceptual grasp is more valuable than rote memory. While memorization is excellent for computers, it is not an adequate form of learning for humans. Memorization may allow us to recall information quickly, but it does not foster the kind of thoughtful, analytical thinking needed to work through complex problems.
For humans, true learning involves the process of understanding. When slower learners push themselves to solve complex problems, they are often analyzing multiple aspects and variables to form a comprehensive understanding. This method is often more resilient and can lead to a deeper, long-lasting knowledge base. On the other hand, quick learners might focus on superficial or linear approaches, relying on rote learning rather than in-depth analysis.
Resilience and Diligence in Slower Learners
Slower learners tend to have a high level of resilience and diligence. They often spend more time and effort on understanding the nuances of complex information. For example, a quick learner might grasp a given formula by memorization and perhaps apply it effectively, but a slower learner might analyze the formula comprehensively, understanding each component and its interplay with the overall structure. This detailed understanding often leads to better retention and application of the knowledge.
Ultimately, the key difference lies in the approach to learning and problem-solving. Slower learners often assess more variables and consider multiple angles, which can lead to a more thorough understanding. Quick learners, on the other hand, might focus on superficial or linear solutions. While both approaches have their merits, the slower, more thorough approach can often result in a more robust and enduring knowledge base.