The Development of a Student Mentoring System (SMS) Using the Model-View-Controller Architecture Framework
Year: 2024
Type: article
Abstract: The Student Mentoring System (SMS) is an innovative online platform designed to facilitate virtual communication between mentors and mentees during mentoring sessions.This system is significant in its capacity to enhance students' academic performance, especially when mentoring is initiated early in their educational journey.It emphasizes the critical role that mentor-mentee relationships play in providing advisory support and monitoring academic progress.This study focuses on the development of SMS using the Model-View-Controller (MVC) Classic Architecture Framework.The system enables mentors to analyze and record mentee information in the database system.Key functionalities, such as displaying mentee performance metrics and tracking academic status, are integrated into the platform to streamline these processes.By leveraging the MVC framework, the SMS ensures a clear separation of concerns, facilitating efficient data management and user interface operations.This architecture enhances the scalability and flexibility of the system and simplifies updating and maintaining the application.The modular design of the MVC framework allows additional features and adaptations, addressing the evolving needs of educational institutions.SMS significantly reduces the effort required by mentors to monitor and track mentee performance and academic status.It alleviates common challenges associated with managing large volumes of mentee data and analyzing individual progress.As a result, mentors can focus more on providing personalized guidance and support, ultimately fostering stronger mentor-mentee relationships and improving overall academic outcomes.This research highlights the technical and practical benefits for future innovations aimed at enhancing the mentoring experience and promoting student success.
Authors: Paridah Daud, Noor Lees Ismail, Ku Muhammad Akashah Ku Abdul Kadir
Institution: UNITAR International University
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4404601505