Link Between Academic Performance and Board Exam Results of Civil Engineering Graduates

Authors

  • Elvira A. Ucol Nueva Vizcaya State University, Bayombong, Nueva Vizcaya, Philippines

DOI:

https://doi.org/10.69569/jip.2024.0607

Keywords:

Academic performance, Board examination, Civil Engineering, Design, Hydraulics, Mathematics

Abstract

This study explores the relationship between academic performance and board exam outcomes among Bachelor of Science in Civil Engineering graduates at Nueva Vizcaya State University (NVSU) from 2018 to 2022. The research addresses a critical gap in understanding how specific academic subjects contribute to board exam success, providing insights essential for curriculum improvement and student support. Specifically, the study aims to determine the significance of academic performance in Mathematics, Hydraulics, and Design in predicting board exam results, identifying influential subjects, and developing a predictive model. Using descriptive research design, secondary data on academic grades and board exam ratings were collected from the NVSU Registrar and the Professional Regulation Commission. Correlation and regression analyses revealed that academic performance in Hydraulics had a moderate positive relationship with board exam outcomes, contributing significantly to overall results (r = 0.287, p < 0.05). In contrast, Math and Design exhibited mixed relationships, with some weak negative correlations suggesting the influence of additional factors. Regression analysis indicated that Hydraulics positively predicted board exam results (β = 9.844, p = 0.045), while Math and Design showed less significant or negative contributions. The findings emphasize strengthening the Hydraulics curriculum and aligning Math and Design courses with board exam expectations. With 85.3% of the variance in board exam performance explained by the model (R² = 0.853), the study highlights the substantial impact of academic preparation while recommending targeted interventions and further exploring non-academic factors. This research provides actionable insights for enhancing engineering education and improving licensure exam outcomes.

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References

Abaya, S., Montalbo, R. & Orig, D.A. (2016). Using regression analysis in identifying the performance of students in the board examination.

The Online Journal of New Horizons in Education, 6(4), 290-296. https://tinyurl.com/2zhyb8zv

Barlis, Jr. J. & Fajardo III, J. (2015). Predictors of Performance of the maritime Academy of Asia and the pacific (MAAP) in the OIC navigation Watch Licensure Examination. Journal of Shipping and Ocean Engineering 5, 88-101. http://dx.doi.org/10.17265/2159- 5879/2015.02.005

Bristo, D.M., Remolazo, L., Bausel, E., Tominez, J., Natividad, J. (2023). Determinants of performance in the board examination for Mechanical Engineering graduates of the Nueva Vizcaya State University, Bambang campus. International Research Journal of Science, Technology, Education, and Management, 3(4). http://dx.doi.org/10.5281/zenodo.10516167

Laguador, J.M., & Dizon, E.N. (2013). Academic achievement in the learning domains and performance in licensure examination for engineers among LPU's mechanical and electronics engineering graduates. International Journal of Managment, IT and Engineering, 3, 347-378. https://tinyurl.com/5c3ctwvs

Dotong, C. , Hicaro A., Laguador, J. (2019). Licensure Examination Performance of Mechanical Engineering Graduates and its Relationship with academic performance. Asia Pacific Journal of Academic Research in Social Sciences, 4, 7-14. https://tinyurl.com/5ekhmf2v

Mohammed, M., & Mohammed, M. (2017). Licensure examination performance evaluation of the candidate engineers as basis for a proposed action plan. Asia Pacific Journal of Multidisciplinary Research, 5(2), 51-57. https://tinyurl.com/2pth6f6f

Ramos, Agnes M. (2015). Evaluation of the Performance of Isabela State University Accountancy Graduates in the CPA Board Examination.

NVSU Research Journal, 2(1), https://www.nvsu.edu.ph/research/vol2-1

Tamayo, A., & Canizares, R. (2014). Predictors of engineering licensure examination using logistic regression. British Journal of Education, Society and Behavioral Science, 4(12), 1621-1629. https://journaljesbs.com/index.php/JESBS/article/view/592

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Published

2024-12-19

How to Cite

Ucol, E. (2024). Link Between Academic Performance and Board Exam Results of Civil Engineering Graduates. Journal of Interdisciplinary Perspectives, 3(1), 139–145. https://doi.org/10.69569/jip.2024.0607