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All Journal International Journal of Multidisciplinary: Applied Business and Education Research
Quidit, Cherry D.
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Environmental Science Medicine & Pharmacology

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Predicting Licensure Exam Success: A Mathematical Model for Engineering Students at Nueva Vizcaya State University Nebrida, Alan P.; Natividad, Jemimah P.; Quidit, Cherry D.
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 5 No. 10 (2024): International Journal of Multidisciplinary: Applied Business and Education Res
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.05.10.23

Abstract

This research examines the correlation between the academic achievement and licensing test outcomes of electrical engineering (EE) and mechanical engineering (ME) graduates from Nueva Vizcaya State University (NVSU) in the Philippines over a five-year span. This study used a quantitative research technique involving a descriptive-correlational approach, trend analysis, and path analysis to examine data from graduates who underwent licensing examinations for the first time during this period. The results showed a significant correlation between academic achievement in certain subject areas and success in licensing exams for graduates in electrical engineering (EE) and mechanical engineering (ME). The equation for calculating the Board Rating for EE graduates is: Board Rating = 125.430 - (17.581 * ESAS) + (12.208 * MATH) - (13.011 * EE). The logistic regression equation is P = 1/(1 + e^(-(24.99651 + (5.812567 * MATH) - (3.72252 * ESAS) - (10.1496 * EE)), while the discriminant equation is D = -13.577 - (3.943 * MATH) + (2.723 * ESAS) + (6.134 * EE). The formula for calculating the Board Rating for ME graduates is as follows: Board Rating = 121.578 - (10.387 * IPPE) - (5.980 * MATHA) - (0.721 * MACHINE). The logistic regression equation is P = 1/(1 + e^(-(16.65924 - 1.99212 * MATHA - 5.60296 * IPPE + 2.329647 * MACHINE)), while the discriminant equation is D = -11.573 + 5.823 * IPPE + 0.931 * MATHA - 2.592 * MACHINE. Path analysis clarified both the direct and indirect impacts of academic success on the licensing test results. Mathematical models provide useful insights for engineering education, highlighting the need for focused curriculum creation and student assistance in engineering education programs. This research emphasizes the importance of certain academic accomplishments as predictors of success in professional licensing exams.
Stakeholder Awareness and Acceptance of the Revised VMDGCV of NVSU: Basis for Institutional Engagement in the EE Program Nebrida, Alan P.; Quidit, Cherry D.; Natividad, Jemimah P.; Soriano, Dhom Ryan S.; Nebrida, Joan Minia
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 6 No. 6 (2025): International Journal of Multidisciplinary: Applied Business and Education Rese
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.06.06.26

Abstract

The Vision, Mission, Developmental Goals, and Core Values (VMDGCV) define the strategic orientation and identity of higher education institutions. In technical fields like Electrical Engineering (EE), adherence to these institutional statements guarantees program relevance, stakeholder involvement, and preparedness for accreditation. This research assessed the understanding and acceptability of Nueva Vizcaya State University’s (NVSU) amended VMDGCV among electrical engineering stakeholders, including students, teachers, staff, alumni, and parents. Data were collected from 120 purposively chosen respondents using a descriptive-quantitative methodology and a validated survey. Two principal dimensions—awareness and acceptability—were examined using descriptive statistics and ANOVA. The findings indicated that respondents exhibited modest awareness (mean = 3.28, SD = 0.69), with the university's developmental objectives for cultivating competent and values-driven graduates earning the greatest acknowledgment (mean = 3.60). The average acceptance rating was moderate (mean = 3.17, SD = 0.77), indicating overall endorsement of the institution's trajectory. Electrical Engineering students had considerably superior scores compared to other groups in both domains (ANOVA: F = 9.132, p < .05), indicating enhanced engagement via academic exposure. Conversely, instructors, staff, alumni, and parents exhibited diminished levels of familiarity and support. The research emphasizes the need of more effectively integrating institutional ideals across stakeholder interactions. Results demonstrate a moderate level of awareness and acceptability, particularly among students. It is advisable to implement broader communication methods and more inclusive engagement initiatives to improve alignment with institutional objectives and cultivate a unified, mission-oriented academic atmosphere.
Co-Authors Natividad, Jemimah P. Nebrida, Alan P. Nebrida, Joan Minia Soriano, Dhom Ryan S.