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

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Implementation of an Advanced Web-Based Academic Advising System for Optimizing Student Support and Engagement

Nicola Davies, Mary Rose Ngozi Umeh, Overcomer Ifeanyi Alex Anusiuba, Ngozi Francisca Faseki
International Research Journal of Innovations in Engineering and Technology
Online and Blended Learning
article

Design and Implementation of an Advanced Web-Based Academic Advising System for Optimizing Student Support and Engagement

Nicola Davies, Mary Rose Ngozi Umeh, Overcomer Ifeanyi Alex Anusiuba, Ngozi Francisca Faseki
article en

Abstract

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.

International Research Journal of Innovations in Engineering and TechnologyVol. 09(03)
Openalex Percentile: Top 95%
Online and Blended Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Design and Implementation of an Advanced Web-Based Academic Advising System for Optimizing Student Support and Engagement — Nicola Davies, Mary Rose Ngozi Umeh, et al. · International Research Journal of Innovations in Engineering and Technology (2025) | TGRS Research Map | TGRS