Tuesday, October 8, 2024

Thinking Mathematically Response

 "Good ideas often come just when it seems most hopeless."

I love this quote as a starting place for my reaction to Chapter 3. I firmly believe that moments of frustration can spark the most significant growth, and I’ve seen this play out both personally and professionally. In my work, I am often tasked with finding problems with applications where a bug has been introduced. Sometimes, hunting for these inconsistencies is like finding a needle in a haystack. “Stuck” doesn’t even do this frustration justice. But I’ve learned that those stuck moments are often the first step toward a breakthrough.

The strategy described in Chapter 3 overlaps with how I approach problem-solving in both my work and life. I’ve long used the process of identifying the inputs/constants (what I know), the outputs (what I want), and what I can change through variance (what I can introduce) to work through challenging situations. In fact, this framework has helped me navigate everything from debugging complex applications to everyday decision-making.

Some of the strategies Mason recommends really resonate with me: simplifying (or specializing), asking questions, working backward, and, most importantly, walking away to clear my head and get some fresh air. These approaches often help me push through when I feel stuck, whether in my professional work or personal projects.

That said, some of the language Mason uses, terms like "Specialize" and "Conjecture”, didn’t quite click with me. They feel a bit too formal or mathematical, though I admit this could be due to exhaustion and maybe a bit of grumpiness! Still, I’m curious to see if, with fresh energy, I might come to appreciate these terms more deeply as I continue to engage with the book.

I also really connect with the following quote:

"Shows that the headlong rush to get to an answer is a primary cause of becoming truly STUCK!"

I tend to be programmed this way to a fault, always trying to find the quickest way from question to answer. In many cases, this has likely been a recipe for getting stuck more often than not. I know I’ll need to address this, especially in the classroom. Rushing through problems could stifle exploration and creativity, not only in Math/CS but in any subject.


2 comments:

  1. You mentioned that some terms like "Specialize" and "Conjecture" didn’t quite resonate with you. As you continue reading, how do you think rethinking these terms in the context of your debugging work might help you see them in a different light? Could they offer new ways to approach problem-solving, particularly when you feel stuck?

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  2. Hey Malihe, thanks for your comment. I like the ideas that the author presented with regard to specializing and conjecturing, but I think I'd reframe the language to convey these ideas in a more simplistic way in my own class. Regardless, the process that is being outlined by Mason is, without a doubt, a great resource.

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