Predictors of the performance of University of Baguio graduates in the Electronics Engineering licensure examination

Dr. Marilou M. Saong, ChE, LPT
Research and Development Center

Engr. Jeferd E. Saong, M Eng-ECE
School of Engineering and Architecture
ORCID # 0000-0003-4158-9248


Studies have shown that students’ academic and board exam performances can be predicted by a wide array of factors, both cognitive and non- cognitive. This study employed an ex-post facto method, correlation analysis, and stepwise regression analysis to identify factors associated with the academic and board examination performance of UB ECE graduates who took the board examinations from 2011 to 2015. The results revealed fair to average academic performance in the areas of MATH, GEAS, EE, and EST. In the board examinations, the graduates performed poorly in the areas of MATH, GEAS, and EST while they performed fairly in EE. T-test analyses proved that female graduates performed significantly better than the male graduates in academics but showed no significant differences in the board exam in all sub-areas. UB ECE graduates who took the board examinations within two years after graduation got higher mean ratings compared to those who took the board examinations after two years. Correlation and regression analysis proved that students’ academic performances were significantly related with board examination performance. The fair to average academic performance of the ECE graduates and poor to fair ratings in the board examination imply a need to enhance further the quality of education provided by the Engineering department. The negative impact of delayed time taking the board exams entails that aside from the role of the learning institution, mental preparation, formal review and proper attitude on the part of the students are also key factors towards successful board examination results.

Keywords: academic performance, board exam performance, correlation analysis, Electronics Engineering


January 15, 2019
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Source: UB Research Journal, Vol. 42, No. 1 January-June 2018