Program Alignment in Information Technology Education: The Role of NCAT Performance in BSIT Major Selection

Von P. Gabayan; Jaylord V. Bacani

doi:10.55927/eajmr.v5i7.245

Authors

Von P. Gabayan Nueva Vizcaya State University
Jaylord V. Bacani Nueva Vizcaya State University

DOI:

https://doi.org/10.55927/eajmr.v5i7.245

Keywords:

Program Alignment, BSIT Major Selection, Admission Performance, Information Technology, Specialization Choice

Abstract

This study examined the relationship between Nueva Vizcaya State University College Admission Test (NCAT) performance and BSIT major selection among first-year Bachelor of Science in Information Technology students. Using a quantitative-correlational design, data were collected from 62 respondents through a researcher-developed data extraction form and analyzed using frequency, percentage, Chi-Square Test of Independence, and Cramér’s V. Results revealed that most respondents obtained an Average NCAT classification and initially preferred an IT-related academic program during admission. However, no significant relationships were found between overall NCAT performance, first, second, and third program preferences, and the respondents’ chosen BSIT major specialization. The findings suggest that specialization decisions are influenced more by students’ interests, career aspirations, and other non-cognitive factors than by admission performance alone. The study recommends strengthening academic advising and specialization orientation to support informed program selection.

References

Ballaho, J. C. (2024, August). Predicting Student's Success in Programming Courses: A Decision Support System for Admission in Computer Science and Information Technology Programs. In 2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) (pp. 60-64). IEEE.

Bansiong, A. J., & Balagtey, J. L. M. (2020). Predicting success in teacher education: Revisiting the influence of high school GPA, admission, and standardized test scores on academic and licensure performance. Journal of Research, Policy & Practice of Teachers and Teacher Education, 10(2), 1-17.

Barroso, C. J. V., Cainday, C. J. B., Sedon, M. R. C., & Tilanduca, D. G. (2022). Admission requirements and academic performance of board vs non-board course in higher education institution. Asia Pacific Journal of Social and Behavioral Sciences, 20, 119-138.

Camarista, G. G., Cabatac, R. T., & Tan, V. P. (2025). College Admission Test, General Weighted Average and Licensure Examination for Teachers Performance of One State University in the Philippines. International Journal of Research and Scientific Innovation (IJRSI), 12(8).

Card, D., & Payne, A. A. (2021). High school choices and the gender gap in STEM. Economic Inquiry, 59(1), 9-28.

Chen, Y., & Zhai, L. (2023). A comparative study on student performance prediction using machine learning. Education and Information Technologies, 28(9), 12039-12057.

El Jireh, P. B., & Mondero, N. L. (2025, April). Determinants of Successful Admission to the Information Systems Program in State Colleges and Universities (SUCs) of the Philippines. In 2024 International Conference on IT Innovation and Knowledge Discovery (ITIKD) (pp. 1-6). IEEE.

Hansen, M. J., Palakal, M. J., & White, L. J. (2024). The importance of STEM sense of belonging and academic hope in enhancing persistence for low-income, underrepresented STEM students. Journal for STEM Education Research, 7(2), 155-180.

Hegarty, M., Keehner, M., Cohen, C., Montello, D. R., & Lippa, Y. (2020). The role of spatial cognition in medicine: Applications for selecting and training professionals. In Applied spatial cognition (pp. 285-316). Psychology Press.

Kankaew, K., Alanya-Beltran, J., Khamidullina, Z., Magulod Jr, G. C., Capulso, L. B., Cabacang, G. S., ... & Pentang, J. (2021). Immediate program learning outcomes of information technology candidates and their introspections towards IT education relevance and global competence initiatives.

Laus, M. A. (2021). Admission profiles as predictors of academic performance. Asia Pacific Journal of Management and Sustainable Development, 9(1), 39-47.

Mahadeo, J., Hazari, Z., & Potvin, G. (2020). Developing a computing identity framework: Understanding computer science and information technology career choice. ACM Transactions on Computing Education (TOCE), 20(1), 1-14.

Mengash, H. A. (2020). Using data mining techniques to predict student performance to support decision making in university admission systems. Ieee Access, 8, 55462-55470.

Mina, J. C., Reyes, E. J. G., & Salas, R. F. (2020). A tracer study of bachelor of science in information technology (BSIT) graduates of nueva ecija university of science and technology (NEUST), San Isidro campus. International Journal of English Literature and Social Sciences, 5(4), 1337-1344.

Ogalisco, R. J. D., Agustin, L. J. O. S., & Sayno, F. M. F. (2023). Admission and retention requirements of the Bachelor of Science in Accountancy Program in Camarines Norte State College: basis for policy enhancement. Daffodil Int Univ J Bus Entrep (DIUJBE), 16, 153-178.