Towards understanding the central limit theorem by learning Python basics

TL;DR

This paper explores whether learning Python programming can enhance understanding of probability theory among prospective mathematics teachers with minimal programming background.

Contribution

It presents an initial experiment connecting Python basics education with probability theory comprehension for non-programmers.

Findings

Preliminary evidence suggests programming may aid probability understanding.

The experiment involved 7 homework sequences sent via email.

Results indicate potential benefits of integrating programming into math education.

Abstract

We report on a first experiment about an email based course that connects learning Python basics and introductory probability theory. In the experiment 7 short sequences of homework were sent out to prospective mathematics teachers who did not have any programming background formerly, but already had some minor knowledge on probability theory. The experiment was about to decide if learning basics of programming can promote understanding main concepts of probability theory.