Design and Implementation of an Advanced Web-Based Academic Advising System for Optimizing Student Support and Engagement
The Web-Based Student Academic Advising System was developed to address the limitations inherent in traditional academic advising methods, which often rely on manual processes that are both time-intensive and difficult to scale to accommodate large student populations. The primary aim of this project is to establish a comprehensive, user-friendly platform that facilitates appointment scheduling between students and advisors, enables the provision of academic guidance, and disseminates pertinent institutional announcements. In addition, the platform empowers academic advisors to monitor and evaluate student performance through datadriven insights, thereby enabling the delivery of personalized academic counsel. The system also incorporates essential functionalities for managing academic records and offering course recommendations, critical components for optimizing student academic pathways. The design and development of the system adhere to the Object-Oriented Analysis and Design Methodology (OOADM), which emphasizes modularity, scalability, and maintainability, ensuring that the architecture of the system is both robust and adaptable to future needs. The key technologies employed in the system’s development include React.js and Tailwind CSS for front-end design, coupled with Node.js and Firebase for back-end services, thereby ensuring a responsive, reliable, and efficient user experience. This system’s implementation serves to underscore the potential for enhancing student engagement and fostering academic success. By integrating contemporary web technologies, it ensures operational efficiency, scalability, and an enhanced user-centered experience, which collectively contribute to the advancement of academic advising practices within higher educational institutions.
Authors
- Nicola Davies (ORCID: https://orcid.org/0000-0002-7214-4244)
- Mary Rose Ngozi Umeh
- Overcomer Ifeanyi Alex Anusiuba
- Ngozi Francisca Faseki
Publication Details
- Journal
- International Research Journal of Innovations in Engineering and Technology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.47001/irjiet/2025.903003
- Primary Topic
- Online and Blended Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00