Oversampling technique in student performance classification from engineering course

Predictive Modeling and Analysis of Student Academic Performance in an Engineering Dynamics Course

Effect of Multiple Choice Testing on Student Performance in an Introductory Engineering Course

This study aims to compare student performance on introductory engineering statics material by comparing the exam scores of students who are given both multiple choice (MC) questions and constructed response (CR) questions to see whether the type of exam question makes a difference in student performance and understanding. Seventy-five students in an introductory engineering course did either a...

Prediction of Student Performance in Engineering Programs

National and European debate consistently recognises the need for Europe to produce greater numbers of highly-skilled graduates in engineering and technology fields in order to improve our competitiveness in the global economy. Despite the importance of this being frequently stressed in policy discussions and the media, both applicant and graduate numbers in these fields are not increasing quic...

Oversampling Method for Imbalanced Classification

Classification problem for imbalanced datasets is pervasive in a lot of data mining domains. Imbalanced classification has been a hot topic in the academic community. From data level to algorithm level, a lot of solutions have been proposed to tackle the problems resulted from imbalanced datasets. SMOTE is the most popular data-level method and a lot of derivations based on it are developed to ...

Modelling Engineering Student Academic Performance Using