Design, Development, and Implementation of an Automized Information System for Community College Officers

Abstract

This research is emphasized on the design and development of an information system for helping the associate education management officers of a public/governmental community college to better the efficiency of selecting/assigning a teacher for an offered course by reducing the number of paper documents needed. Previously, the traditional systems of the college used to collect their data manually through a paper-based approach. However, using the designed, developed and implemented information system in this study, the associate education management officers can digitally, an through an online and transparent process, collect and access the required data from 3 main resources as follows: (1) based on the teachers’ pre-semester evaluation forms, (2) based on the teachers’ post-semester evaluation forms, and (3) based on the students’ evaluation forms previously filled and submitted to the system while assessing the relevant teachers. Accordingly, using the new system, a standard process for determining a teacher for a course, in a timely and effective manner, was created in such a way that the officer could make a better decision about who might be the best alternative to teach a course relying on the history of the pre-semester and post-semester data submitted by teachers in addition to the feedbacks received from the students asking their perception regarding to that teacher. In order to better implement the system, the SDLC (System Development Life Cycle) software engineering process was considered and practiced by using the Eclipse Typescript, Visual Studio Code, Language Typescript, Angular framework and My SQL database. Eventually, the system was tested in an authentic (real life) environment which included 10 teachers and 6 officers.The results showed overall (average) satisfaction level of ${\bar{\text x}} = 4.53$ (out of 5) whereas the extent of the satisfaction level toward the interface design of the system was${\bar{\text x}} = 4.79$, and the extent of the satisfaction level toward the data accuracy of the system was${\bar{\text x}} = 4.45$, and the extent of the satisfaction level toward the safety and security of the system was ${\bar{\text x}} = 4.16.$ This research provides a groundwork for further and future experiments and studies.