A Stochastic Modeling Approach to Student Performance Prediction Modeling (SPPM) on an Internet-Mediated Environment

Abstract

Stochastic modelling takes into consideration the use of random variables in the prediction process. The random variables are generated from different scenarios in order to generate a possible output. As a result, the generated output is used to indicate the likelihood of very rare occurrence scenarios which may or may not take place at a future date. With the vast availability of educational data that is available within the learning sector, this data forms the basis of input data that is required for the prediction of student performance within internet-worked environments. This paper proposes a Stochastic Differential Equation (SDE) approach to prediction modelling. This approach analyses data from students within universities leading to the generation of a student performance trajectory.