An Algorithm for Automatic Difficulty Level Estimation of Multimedia Mathematical Test Items

The use of multimedia in learning and testing has been gaining popularity over the last few years. In this paper, we describe a method for estimating difficulty level of a multimedia mathematical item type using Item Response Theory (IRT). Experimental results on determining the parameters of an IRT model through tests on a group of students are also presented. Linear regression equations are fitted based on test data collected on a group of students. Results show a high degree of correlation between observed difficulty levels and fitted values.