Event Details
Student Performance Prediction based on Course Correlation
Presenter: Cheng Lei
Supervisor:
Date: Wed, February 13, 2019
Time: 11:30:00 - 12:30:00
Place: EOW 430
ABSTRACT
Abstract:
This research explored the relationship between an earlier-year technical course and one later year technical course, for students who graduated between 2010 and 2015 with the degree of bachelor of engineering. The research only focuses on the courses in the program of Electrical Engineering (EE) at the University of Victoria (UVic). Three approaches based on the two major factors, coefficient and enrolment, were established to select the predictors including Max(Pearson Coefficient), Max(Enrolment), and Max(Pi), the combination of the two factors. The prediction algorithm used is linear regression and the prediction results were evaluated by Mean Absolute Error (MAE) and prediction precision. The results show that there is no strong evidence that the techniques and methodologies used in this research could be used reliably for student performance in one course based on another course.