So, it’s time for another blog post where I share my thoughts on the teaching of math-related subjects, and how that might improve… maybe even become fun to learn. But to be honest, today I’m inspired to write about how the traditional methods fail.
Antecedents
This weekend was the Global Game Jam! Although I wasn’t able to participate, I followed you guys through twitter and some streams; tonight I’ll play some of your projects, it’s amazing to see what you managed to develop in such a short time.
Oh, but well… While everyone else was having fun, I had to stay a bit away because it was… Math homework time! By the way, it wasn’t just a common homework.
The traditional method
According to what my professor told me today, the teaching method in my school -and nationwide, from what I know- is based in the following structure:
Every week (5 classes a week), we learn from one to two new mathematic methods, for a small variety of cases. Every class, we do a small set of exercises and if we fail to solve them on class time, we bring them home, and at the end of each week we receive a super homework in order to “reinforce our knowledge” during the weekend. That way -according to my professor- they ensure that students manage to remember the things that we learned during the week and polish our problem-solving skills.
*Glossary:
-Mathematic method : A specific set of steps to get a solution. Think of it as an algorithm or “recipe” that you apply to a specific math question to solve it.
-Case : Every “recipe” has slight variations depending on the nature of the problem, and these variations are named “cases”.
-Super Homework : A long series of exercises that we must solve for next Monday, they range from 100 to 350 different questions or problems.
Well, that is the professors’ particular viewpoint on the subject. However, in my humble opinion, this structure is a complete failure.
How it fails?
As I couldn’t shake my head off the GGJ this weekend, even while I solved one after another of the questions in my “super homework”; I decided to do something gameful in order to keep the spirit.
So, I decided took my own homework and analyze it as if it were a game, adding to my “review” a few conclusions that started to come to my mind as I progressed. Here are my results, plotted with the aid of Minitab:



First of all, I created the above graphs by taking a sample of 86 different math problems, numbered from 96 to 182 in the professor’s text book, which represent a section of this week’s “super homework”. The first one shows each one of these math problems with their corresponding difficulty level… and as you can see, we get the first failure from a game designer’s viewpoint. Imagine a game whose first levels are fairly easy, then you get to a boss battle! And after beating the boss, back to more easy levels intersected randomly with challenging ones. Would you enjoy it?
So, whoever wrote this book and arranged the problems in the order they appear, obviously fails at designing a difficulty curve.
However, they are not arranged randomly. When solving each one of the problems, I noticed a pattern on them – The first one could be solved by using a direct integration formula, then the second one requires the same formula plus a slight algebraic transformation. The next one requires the previous two elements and another transformation, and the pattern goings on until you reach a problem that is completely different from the previous one, and that you can’t solve by using any hints given by the surrounding problems – you can visualize them as “spikes” on the graph. After looking at this pattern, I immediately thought of a broken SIMON game that keeps resetting itself after suddenly changing the game pattern to a more difficult one.

Second issue – The time. You would think that the relation between difficulty and average time to solve a problem is proportional. However, as you can see on the second graph, this is not always the case. Some problems that are easy to understand can be very time consuming because of their lenght, as you are required to write every step to the solution, no matter how trivial it might be.
Anyways, no matter how easy the problems might seem to a student, their considerable amount will make you spend more than an hour and a half solving them. I started to notice that, after this amount of time, my mind started pondering unrelated things, and my math solving skill had become a mechanical ability more than the reason-based one that it should be. What is the point on making the students solve such an unreasonable amount of math problems? Is there any evidence that learning progress is proportional to the number of math problems assigned? What I was able to find is that, when you get to a certain point, your brain interprets this as a source of stress and actively tries to suppress your will to continue. You know that you need to solve them all in order to get a good grade, but your brain tells you that it isn’t interested in keeping up with such purpose: You start to associate math with stress and frustration.
Okay, you get up, take a breath and do some other things to relax, and then you get back to work. Then, after a while you notice that you have reached your break point sooner than before: This is called Repetitive Stress, and it’s a real health issue; even videogames have a warning against it printed on the manual and some have taken very creative measures to prevent it.
Conclusions
In the end, I think it was a fairly good analysis, which manages to summarize pretty well what is failed on the teaching method that we are forced to endure:
- Repetitive and prolonged tasks != learning experience
- Failure to make a reasonable difficulty curve = frustration and stress
- Problems could be arranged in a more logical way, but this is ignored (see the last graph)
- In the end, responsibility isn’t a big deal. The homework was cancelled as no one but me made it.