Skip to content
Research Article Open access CC BY 4.0

Web Based Approach for SIWES Supervisors' Reporting

Simon John

Asian Journal of Research in Computer Science · pp. 325–333 · Published 10 Jun 2025

10.9734/ajrcos/2025/v18i6702

Abstract

In Nigerian universities, the Student Industrial Work Experience Scheme (SIWES) is a mandatory program designed to expose undergraduate students to real-world industrial practices relevant to their field of study. Despite the technological advancements in educational systems, the process of SIWES supervision and student performance assessment remains largely manual, inefficient, and error-prone. This project focuses on designing of a web-based system to enhance the supervision and grading process for SIWES students in the Department of Information Technology. The system enables supervisors to submit structured reports during field visits, assess students based on predefined criteria, and assign grades accordingly. Additionally, the platform facilitates the integration of departmental evaluations   such as student defenses by combining defense scores with supervisor assessments to compute a final SIWES grade. The system was developed using the Laravel framework with HTML, CSS, JavaScript, and PHP. Through a thorough review of existing processes, system analysis, and software development methodologies, the project delivered a solution that improves accountability, streamlines communication, and enhances transparency in SIWES performance evaluation. The deployment of this solution is expected to improve the accuracy and efficiency of SIWES supervision and grading at both the field and departmental levels.

SIWES grading supervisor reporting web based approach

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

5

Page views

0

PDF downloads

0

Outbound clicks

0

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.