Centralized Data Driven Decision Making System for Bangladeshi University Admission

Abstract

The advancement of any modern nation depends largely on the standard of higher education. The fourth industrial revolution is all about the growth of information and frontier technologies. Consequently, it is impossible to maintain the standard of higher education without the help of emerging technologies. The higher education admission process has access to enormous heterogeneous data. This data can be used as an essential factor in making the appropriate decisions for educational institutions. With this point of view, we are proposing a Data-Driven Decision-Making System that will analyze available data from the previously proposed system Centralized Admission Hub (CAH) and will generate consummate reports based on that data. Decision-makers from universities can take strategic decisions about the standards of admission tests, seat distribution, and admission criteria based on analysis like department-wise student interest, overall interest in being admitted into certain universities, etc. Students can make decisions about choosing a university or major based on information like the acceptance rate of the university, student-to-faculty member ratio, etc. The university's managing authorities can take the required decisions as well, based on relevant reports generated by this system. In this research work, we discussed different aspects of the proposed system, explored possible features, and aligned those to solve higher education admission-related problems.