I recently watched a TED talk by Shalinee Sharma, the founder of the math-learning nonprofit Zearn, titled 4 steps to unlock your kid's math potential, and her central argument stayed with me. We tend to ask who can learn math, as though the ability were a rare genetic gift, when the question that actually matters is how we teach it. She opens with a parent at a school pickup describing her own four-year-old as simply not a math kid, and she points out that we would never label a struggling child as not a reading kid and then quietly take the challenging books away, yet that is more or less what we do in math.
This struck a chord with me, because I was not always what anyone would have called a math kid either. When I was in the sixth grade, I asked to be moved into a more advanced math class, and putting myself into a room where the work was harder than I was used to changed something in me. I had to struggle, and somewhere in that struggle I found that I genuinely loved the subject. My love of math did not begin because I was born with a math mind, it began because I was given the chance to build one, and Sharma offers four steps for doing exactly that.
Why Fun Is the Engine
Of her four steps, the one I keep returning to is the call to make math fun, because I think it is the engine that drives the rest. Sharma draws a comparison to reading that is hard to argue with, which is that when we want children to love reading we hand them stories full of elves and spies, and yet practice in math tends to mean a page of fifty tedious problems. Fun is not a decoration we add on top of real learning, it is the condition under which a child practices enough, and stays curious enough, for understanding to take hold. That conviction sits at the center of Tarsia.ai, because making math and every other subject more enjoyable is not a softening of the work, it is the very thing that makes the work stick.
Understanding Over Memorizing
Sharma's next step is to understand math rather than memorize it, and she compares memorizing procedures to memorizing two hundred words in order to pass a reading test, scoring well, and then forgetting both the words and how to read. A child who pauses to picture a problem can often see the answer without calculating at all, and that is the kind of understanding worth rewarding. It is also the principle behind a Tarsia puzzle, because the pieces only fit together when the relationships between the questions and answers are genuinely understood. A guess does not slot into place, which means the activity quietly insists on understanding rather than recall.
Fun in Practice
When Sharma talks about making practice fun she points to games, from a round of Battleship that turns out to be an exercise in reading coordinates to counting change at a market, and her advice is to play often without turning the game into a lesson. This is the heart of what we are building. A teacher or parent writes a single set of questions and answers, and Tarsia.ai turns that one set into something that feels like a game rather than a drill, whether a self-checking jigsaw, a domino chain, a set of follow-me cards, or a circular puzzle that closes into a loop. The content that might have arrived as a worksheet instead arrives as something a child wants to solve.
Belief, and a Second Chance
Belief and a second chance, the two steps that remain, both rest on a single conviction, which is that a math mind is something we build rather than something we are born with. The students who love math are not made of different genetic material, they are the ones for whom someone believed, who came to understand the subject, and who had enough fun to keep practicing. A second chance is not a matter of being born differently, it is a matter of meeting the subject again on better terms, which is why every activity we create exists as both a printable version to cut out by hand and a digital version to solve on a screen. For the student who did not grasp an idea one way, a different format can become the second chance where it finally clicks.
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