Assessment of computing in the mathematics curriculum using Numbas

Abstract

This case study discusses the use of the Numbas e-assessment system to assess computing skills across several modules in a mathematics undergraduate degree programme. The modules include basic computing, quantitative analysis of data, and numerical methods. Several approaches are discussed which fit with the teaching of SPSS, R and MATLAB, including randomised data files and questions which can replicate, and therefore mark, calculations made with R data frames and numerical algorithms, such as root finding and curve fitting. In each case, Numbas offers the opportunity to automatically mark and offer immediate feedback to the student. The application of questions inside a computing module is discussed, with a positive response from students to both practice material and hybrid tests, which include some automatic marking alongside submission of the students’ code for manual review. There is clear rationale for using an e-assessment system which is already familiar to students, with features such as adaptive marking and the scaffolding of questions, however limitations to the use of Numbas for this purpose are also discussed.