Developing an Automated Student-Supervisor Matching System for Academic Institutions: A Case Study
By Shahabuddin Amerudin Abstract The allocation of supervisors to students for research guidance is a critical process in academic institutions, particularly at the undergraduate level. This paper presents the development of an automated matching system designed to streamline the process of assigning students to supervisors based on their research interests and competencies. The system leverages JSON-based data storage and a weighted matching algorithm implemented in PHP, ensuring that the matching process is efficient, transparent, and data-driven. The study discusses the system’s design, implementation, and potential impact on academic administration. 1. Introduction The process of matching students with supervisors is often […]