Pangasinan State University Alaminos City Campus Civil Service Exam Reviewer (PSU-ACCCSER)
Authors
Information Technology, Pangasinan State University, Alaminos City Campus (Philippines)
Information Technology, Pangasinan State University, Alaminos City Campus (Philippines)
Information Technology, Pangasinan State University, Alaminos City Campus (Philippines)
Information Technology, Pangasinan State University, Alaminos City Campus (Philippines)
Information Technology, Pangasinan State University, Alaminos City Campus (Philippines)
Article Information
DOI: 10.47772/IJRISS.2026.100500495
Subject Category: Information Technology
Volume/Issue: 10/5 | Page No: 7380-7384
Publication Timeline
Submitted: 2026-04-02
Accepted: 2026-04-07
Published: 2026-06-05
Abstract
For a long time, Civil Service Examination (CSE) candidates in Alaminos City have encountered major obstacles, largely due to the absence of affordable study aids and reliable professional mentorship. Many applicants have had to depend on obsolete materials that do not match current testing standards, resulting in historically low passing rates and stalled career growth in the public sector. To solve these persistent issues, this study introduces the Pangasinan State University Alaminos City Campus Civil Service Exam Reviewer (PSU-ACCCSER). Developed collaboratively by faculty, experts, and students, this mobile application provides a comprehensive, university-supported resource that strictly follows Professional and Sub-Professional exam guidelines while addressing local needs. The system was built using the Agile development framework and features three core learning components: curated modules for clerical and general skills, guided quizzes with instant feedback, and mock exams that replicate real testing scenarios. After deployment, the system was evaluated against the ISO/IEC 25010 quality model. Stakeholders gave it an "Excellent" rating with a weighted mean of 4.32, praising its usability and relevance. Early data suggests a significant positive effect on student outcomes, linked to a 38% increase in first-time passing rates and a 72% improvement in candidate confidence. PSU-ACCCSER serves as a scalable, community-oriented tool that democratizes access to professional opportunities and supports the university's mission of regional development.
Keywords
Civil Service Exam, Mobile Learning, Agile Development, ISO 25010, Educational Technology.
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References
1. Filipinoguides. (2024, May 7). 10 hardest and toughest board exams in the Philippines. [Google Scholar] [Crossref]
2. Parian, P. (2023, February 15). Why take the Civil Service Exam? Manila Bulletin. [Google Scholar] [Crossref]
3. Machin, S., McNally, S., & Valenzuela, J. R. (2020). Entry through the narrow door: The cost of just failing high stakes exams. Journal of Public Economics. [Google Scholar] [Crossref]
4. Reganit, J. C. (2024, October 15). CSC announce results of August 11 career service exams. INQUIRER.NET. [Google Scholar] [Crossref]
5. Pedraza, S. M. M., & Canoy, O. M. (2025). Assessing the effectiveness of mobile learning apps in enhancing student learning. Psychological Education, 45(9). [Google Scholar] [Crossref]
6. Alipio, R. S., Sanchez, J. D., & Acosta, K. C. P. (n.d.). Mobile application reviewer for LET exam. [Google Scholar] [Crossref]
7. Salamanca, L., Rivera, P., & Cruz, M. (2020). Review practices of Filipino examinees in preparation for licensure exams. Philippine Journal of Education Research. [Google Scholar] [Crossref]
8. Wang, A. I., & Tahir, R. (2020). The effect of using Kahoot! for learning – A literature review. Computers & Education. [Google Scholar] [Crossref]
9. Britton, J. (2021). What is ISO 25010? TechPress. [Google Scholar] [Crossref]
10. Zhao, X., Li, H., & Chen, Y. (2021). Enhancing test performance through practice: A review of repeated exam exposure. Assessment & Evaluation in Higher Education. [Google Scholar] [Crossref]
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