Exploring the Relationship between OJT Course Performance and Academic Performance of Computer Science Students in Selected Programming Courses

Abstract

This exploratory study attempted to examine the relationship between the level of performance of Bachelor of Science in Computer Science (BSCS) students in their on-the-job (OJT) course and their academic performance in selected programming courses. It also aimed to identify key predictors of OJT performance. The data used in the study included academic and background records of 185 senior BSCS students from the University of the EAST (UE) who were enrolled in their OJT training course during the summers of AY 2014-2018. Data was analyzed in several levels using descriptive and correlational methods using SPSS software. Results indicate a significant and positive but weak relationship between the students' academic performance and their OJT performance. Scholarship status was found to be a more important predictor of OJT performance than academic performance in programming courses. The study, although preliminary, provides valuable insights in the quest to continuously improve the curriculum of the BSCS program in order to provide graduates with the core competencies expected of them in the computing industry.