MENTORVERSE: The Development and Assessment of a Cross-Platform Mentor Finder Using React JS and MongoDB

Abstract

The purpose of this study was to investigate the design, development, and assessment of a cross-platform application called Mentorverse. The system was developed using React JS and MongoDB. The study aimed to describe the activities of the system development life cycle (SDLC). Additionally, it sought to determine the assessments made by Information Technology (IT) experts and end-users based on International Organization for Standardization (ISO) 25010. A developmental research design was employed, involving IT experts and end-users. The results indicated that the SDLC was an efficient and effective method for designing the system. Moreover, the system fulfilled its intended functions according to the assessment made by IT experts. It also met the quality of use standards for software from the perspectives of the end-users. In conclusion, Mentorverse was successfully developed using a software development model and received positive assessments regarding its technical qualities from IT experts and its usability from college students and professors as end-users. The findings demonstrated the system's potential benefits, as it performed well in terms of technical aspects and usability. The researchers recommended utilizing the system to enhance learning outcomes and improve the skills and expertise of both mentees and mentors. They also suggested employing it as a strategy to enhance students’ skills. Additionally, future research related to this study should consider the findings presented here as a guiding reference.