Are schools intentionally making it difficult so that only a few can succeed?

Reevaluating Education: Is the School System Making Math Inaccessible to Most Students?

Many of us have experienced the struggle of learning mathematics within the traditional school system. I used to believe I simply wasn’t cut out for math, feeling frustrated and incapable of understanding concepts that seemed straightforward to others. However, with the advent of artificial intelligence (AI) and large language models (LLMs), my perspective has begun to shift.

A Personal Journey from Frustration to Curiosity

As someone in my 30s now, I’ve taken it upon myself to relearn math from the ground up—covering foundational topics like algebra, calculus, and various functions. While the journey is challenging, I find myself more engaged than ever, especially when utilizing AI as a learning aid. This self-directed approach contrasts sharply with my experience in school, where math often felt boring, difficult, and reserved for the “bright” students. That perception fostered a sense of inadequacy, convincing me that I simply lacked the innate talent necessary to succeed in STEM.

Discovering the Power of Context and Purpose in Math Learning

One of the most significant revelations in my independent studies has been the importance of understanding why mathematical concepts matter. During school lessons, we were frequently asked to “solve for x” without any explanation of the practical applications or real-world relevance. For instance, a quadratic equation might be presented as a problem to find certain values, but little was explained about how such calculations relate to everyday life.

In contrast, when I explore math on my own, complemented by AI explanations, I find that grasping the purpose behind problems makes a profound difference. Solving for x, for example, can be viewed as finding the break-even point in a business, determining the structural limits of a bridge, or predicting the path of a projectile. Recognizing these connections transforms math from abstract symbols into a powerful tool for understanding real-world phenomena.

From Boredom to Fascination

Delving into advanced topics like parabolas, cubic functions, hyperbolic functions, and calculus, I am increasingly fascinated by how these mathematical models describe natural and societal systems. For example, cubic functions can model cycles or forecast population changes, making the subject far more engaging through its practical applications.

Questioning the System: Is Math Made Too Difficult Intentionally?

This personal experience raises a broader question: Was the school system intentionally making math more complicated than necessary? My own struggles led me to believe I was inherently incapable of mastering the subject, a misconception that may have discouraged many from pursuing STEM careers. If this were true, it suggests that the system might be inadvertently or intentionally limiting access to understanding by emphasizing rote procedures over conceptual clarity.

Reframing Math as Skill, Not Talent

What I’ve learned is that success in math isn’t about innate intelligence or “being naturally smart.” Instead, it hinges on understanding the meaning behind the symbols and formulas. When concepts are explained clearly and connected to real-life applications, math becomes more approachable and even enjoyable.

Conclusion

The shift in my perspective highlights a crucial insight: reimagining how math is taught could unlock the potential for many students who currently feel excluded or defeated. By emphasizing understanding, purpose, and relevance over rote memorization, educators can foster a more inclusive and inspiring environment—one where anyone can develop confidence and skills in mathematics. The tools available today, particularly AI, offer immense promise in transforming math education from an obstacle into an accessible and engaging journey of discovery.