Automating Problem Set Generation for an Online Math for General Education Course

Abstract

Demand is rising for distance learning options, which has created a need for large libraries of problem sets. Creating these libraries manually is time-consuming and effort-intensive, which is an opportunity for automation. The availability of a virtually unlimited number of problem sets for a given topic gives teachers the ability to quickly create new examples, homework, and test problems without the need to purchase pre-made problem sets. In this project, we developed a method to automate problem set generation for the voting theory section taught as part of the University of Central Oklahoma’s online Mathematics for General Education course.