A Machine Learning-Based Admissions Support System With a Case Study on D.K.M. College for Women, Vellore

Abstract

Building efficient higher education systems is tough for India and other developing countries, especially when it comes to female students. Despite the government's efforts, India did not gain anything from its superb and creative educational policy. The Indian government is cognizant of the particular challenges the current global situation poses for the higher education industry. At Vellore's D.K.M. College for Women, the post-graduation admission rate has considerably declined over the last 12 months. The work is largely focused on the identification of concerns, obstacles, and declining factors of post-graduation admittance from the perspectives of students, parents, teaching staffs, and management. The architecture for the course recommender system and the information flow across it are proposed in this chapter. This approach forecasts the ideal subject pairing, or the subjects that pupils will be most interested in. Here, the authors use a learning management system like Moodle to gather information from students about their course preferences.