Individual gain and engagement with mathematical understanding

My colleague Mercedes McGowen and I examined a measure of individual student gain by pre-service elementary teachers, remedy related to Richard Hake’s use of mean gain in the study of reform classes in undergraduate physics.

The gain statistic assesses the amount individual students increase their test scores from initial-test to final-test, and as a proportion of the possible increase for each student.

We examined the written work in mathematics classes of pre-service elementary teachers with very high gain and those with very low gain and showed that these groups exhibit distinct psychological attitudes and dispositions to learning mathematics.

We showed a statistically significant, small, increase in average gain when course goals focus on patterns, connections, and meaning making in mathematics.

A common belief is that students with low initial-test scores will have higher gains, and students with high initial-test scores will have lower gains. We showed that this is not correct for a cohort of pre-service elementary teachers.

McGowen_Davis_gain_paper

 

Mathematics is not a spectator sport

In the video below, Aziz Belhassane Sensei is demonstrating Aikido at the Sugano Shihan Memorial Summer School 2011.

Whether you know Aikido or not, the thing you will notice, especially if I point it out to you, is that Aikido is not a spectator activity. You cannot learn Aikido simply by watching someone else. Watching is critical, paying attention is critical, but doing is the essence.

Currently I am teaching a small class – 11 students – what is known in the U.S. as Advanced Calculus. This is their second semester of Advanced Calculus, and I am conceiving it as an introduction to real analysis. This past week we have been looking at the Cantor function (also known as the Devil’s Staircase).

The Cantor function can be described as the limit of a sequence of piecewise linear functions. The first 3 are shown below:

Cantor_function_first_three

The piecewise linear functions f_n can be defined on the interval [0,1] recursively as follows:

f_0(x)=x

f_n(x) =    \begin{cases}  f_{n-1}(3x), & \text{if }0\leq x \leq 1/3 \\  1/2, & \text{if }1/3 \leq x \leq 2/3\\    (1+f_{n-1}(3x-2))/2, & \text{if }2/3 \leq x \leq1\\  \end{cases}

So we have a potential pictorial and recursive understanding of the sequence of approximations to the Cantor function.

These do not make it immediately obvious how to calculate the value of the Cantor function at a given point in the interval [0,1], particularly at points of the Cantor set, such as x=1/4.

A simple recipe remedies this:

Write x = 0.d_1d_2d_3\ldots base 3 (with no all 2’s from some point on ). If one of the d_i=1 replace all digits after the first such occurrence by 0. Then convert all occurrences of 2 to 1 and read the new number base 2.

For example, 1/4 = 0.020202\ldots base 3, so, according to the above recipe,  the value of the Cantor function at 1/4 is 0.010101\ldots base 2, which is 1/3.

The issue for the students was to reconcile the pictorial and recursive approximations to the Cantor function with this recipe.

Sadly, as was the case for most of the semester, they sat in silence waiting  for me to do something, even though the course is seminar style in which they present their efforts at problem solving. So I gave them all marker pens, got them up to the board, and got them working and talking. Eventually most of them started thinking.

In my view, mathematics is best done on your feet, actively moving.

What do you think?