Automated Admission Assessment System for Jose Rizal Memorial State University

AUTHOR(S)

KEVIN B. SAGUIN, MSIT

ABSTRACT

— The Automated Admission Assessment System for JRMSU is designed to modernize the university’s admissions process. This system automates submitting applicant details, generating entrance exam ratings, and course suggestions, thereby ensuring a consistent and fair evaluation of all applicants. The system incorporates expert systems and employs advanced algorithms, including Natural Language Processing (NLP), to automate exam checking and result compilation, increasing operational efficiency and decision-making accuracy. The findings reveal that the automated system considerably decreases processing time and human error, enhancing efficiency and accuracy in the admissions process. It achieved an ‘Excellent’ rating across critical software quality metrics such as functionality, reliability, usability, and more, with a grand mean score of 4.55. This score reflects the system’s superior performance and alignment with JRMSU’s operational requirements. Implementing this automated system significantly advances JRMSU’s commitment to leveraging technology for educational administration. The system supports JRMSU’s strategic goal to enhance educational outcomes and administrative efficiency by reducing administrative burdens and improving data security and privacy. The successful deployment of this system provides a model that could be replicated in similar institutional contexts, suggesting broad implications for the field of computer science in educational settings Keywords — Automated Admission Assessment System for Jose Rizal Memorial State University, Agile Software Development, Expert Systems, Operational Efficiency, Educational Administration