Academic Achievement as a Determinant of Licensure Examination Performance among Bachelor of Science in Agricultural and Biosystems Engineering Graduates
Glaizalyn Lictawa | May Ann Grace N. Cabiso
Discipline: Education
Abstract:
Licensure examinations are high-stakes gateways to practice in Agricultural and Biosystems
Engineering (BSABE), yet evidence linking collegiate achievement to licensure outcomes remains limited. This
study examined the association between academic performance and licensure results across three BSABE
domains, identifying strands of relative difficulty. Correlation and regression analysis were used to analyze
the data collected from college academic performance and licensure examination ratings. Descriptive statistics
showed Satisfactory academic achievement in Area 1. Pearson correlations revealed small to moderate positive
relationships within matching domains, while the overall board score was most closely related to Area 3 and
least closely related to Area 1. In multiple linear regression including all academic areas simultaneously, no
predictor retained a unique effect on overall board score, indicating shared variance and that grades alone are
insufficient predictors. The findings highlight the key academic factors that influence the performance of
BSABE graduates, with implications for curriculum development, enhanced licensure examination
preparation, and evidence-based policy interventions to strengthen agricultural and biosystems engineering
education.
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/4wnj9fac
- Amanonce, J., & Maramag, A. (2020). Licensure examination performance and academic achievement of teacher education graduates. International Journal of Evaluation and Research in Education (IJERE). 9(3), 510–516. http://dx.doi.org/10.11591/ijere.v9i3.20614
- Cabrera, P., Cortez, K., Gonzales, R., & Maducdoc, P. (2024). The correlation between academic performance in CELE-related subjects and CELE performance among bachelor of science in civil engineering students at Nueva Ecija University of science and technology. Journal of Multidisciplinary Research and Development. 3(2). http://dx.doi.org/10.60008/thequest.v3i2.208
- Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches. Sage, Los Angeles. https://doi.org/10.1453/JSAS.V4I2.1313
- 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/ytua7z8d
- Laguador, J. M., & Dotong, C. I. (2020). Engineering students’ challenging learning experiences and their changing attitude towards academic performance. European Journal of Educational Research, 9(3), 1127–1140. https://doi.org/10.12973/eu-jer.9.3.1127
- Felder, R. M., & Brent, R. (2005). Understanding student differences. Journal of Engineering Education, 94(1), 57–72. http://dx.doi.org/10.1002/j.2168-9830.2005.tb00829.x
- Igdon, J. P., Ballado, R. S., & Giray, A. L. Jr. (2024). Predictors of licensure examination performance of graduates of a state university’s external campus in the Philippines, pp.31 – 37. https://tinyurl.com/mrr6jnar
- Geisinger, B., & Rajraman, D. (2013). Why they leave: Understanding student attrition from engineering majors. International Journal of Engineering Education. 29(4), 914–925. https://tinyurl.com/ms4cb3cv
- Grossbach, A., & Kuncel, N. R. (N. D.). The predictive validity of nursing admission measures for performance on the national council licensure examination: A meta-analysis. Journal of Professional Nursing. 27(2):124–8. https://doi.org/10.1016/j.profnurs.2010.09.010
- Okun, M. A., Fairholme, C., Karoly, P., Ruehlman, L. S., & Newton, C. (2006). Academic goals, goal process cognition, and exam performance among college students. Learning and Individual Differences, 16(3), 255–265. https://doi.org/10.1016/j.lindif.2006.04.001
- Oducado, R. M. F., & Penuela, A. C. (2014). Predictors of performance in the nurse licensure examination. Journal of Arts, Science & Commerce, 5(2), 60–66. https://tinyurl.com/46d9wu5d
- Ramos, A. (2015). Evaluation of the performance of Isabela State University accountancy graduates in the CPA board examination. NVSU Research Journal. 2(1). 22-33. NVSURJ_Vol.2_01_2015_3.pdf.
- Tamayo, A., & Canizares, R. (2014). Predictors of engineering licensure examination using logistic regression. British Journal of Education, Society & Behavioural Science, 4(12). 1621–1629. http://dx.doi.org/10.9734/BJESBS/2014/11343
- Ucol, E. A. (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
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