Best Ways Using AI in Impacting Success on MBA Graduates

Abstract

It is not an easy decision to make when deciding whether or not to let a student continue their studies in a graduate program. There are several factors to take into consideration. An application is analyzed based on a variety of different criteria, and the results of this examination are utilized to provide a prediction of the applicant's likelihood of being successful. Through the course of human history, regression analysis has been used as a methodology for the development of many kinds of prediction systems. On the other hand, it has been demonstrated that the models that were presented in this research had a very limited capacity for predictive ability. An empirical examination of these relationships was carried out by these authors using survey data acquired from MBA students attending a private university. The structural equation models that were generated using this information were used in the investigation. It was found that the content of the courses themselves was the single most critical factor in correctly predicting all learning, satisfaction, and quality.