DESIGN AND IMPLEMENTATION OF AN ONLINE CAMPUS OPINION POLL SYSTEM

UDE, JAMES CHIGOZIE (2025) DESIGN AND IMPLEMENTATION OF AN ONLINE CAMPUS OPINION POLL SYSTEM. Other thesis, GODFREY OKOYE UNIVERSITY, ENUGU.

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Abstract

In modern academic institutions, it is increasingly critical to have inclusive, efficient, and transparent mechanisms in place for capturing student sentiment. This is particularly urgent when it comes to enacting a form of participatory governance that allows students to have a meaningful say in decision-making processes that affect them. For too long, gathering student sentiment has happened via inefficient polling methods (which, for the most part, have existed in the analog realm). When polling does happen (or when some form of opinion-gathering does happen), it is often not conducted with polling methods that are anywhere near up to the standards one would expect for conducting a scientific study. The result has been an often under- informed collection of individuals who make key decisions that affect the student body and the institution as a whole. This project was undertaken to attempt to address these significant shortcomings by creating a system that allows for gathering student opinion securely, confidentially, and in real time. To guarantee resilience, the system underwent numerous levels of assessment unit assessment, integration assessment, user acceptance assessment, and security scrutiny. The results strongly indicated that the system worked very well under real-time conditions that were simulated, gave highly accurate analytics, and was, test participants denoted, as easy to use and as friendly as a chat with a next-door neighbor. Besides those efficiencies on the logistics side, the system lured users in, naturally, via its telltale compatibility with mobile and desktop platforms.In conclusion, the Online Campus Opinion Poll System not only fulfills its objective of facilitating secure and anonymous digital polling, but also contributes to strengthening democratic engagement and institutional responsiveness within the academic community. The project lays a foundation for future enhancements including AI- powered analytics, multilingual support, and blockchain integration, offering a scalable solution for digital governance in educational and other institutional contexts.

Item Type:	Thesis (Other)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Faculty of Natural and Applied Sciences
Depositing User:	Uchenna Eneogwe
Date Deposited:	19 Jun 2026 13:05
Last Modified:	19 Jun 2026 13:05
URI:	http://eprints.gouni.edu.ng/id/eprint/5836

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