利用人工智能影响MBA毕业生成功的最佳方法

D. Praveenadevi, S. Kowsalyadevi, B. Girimurugan, Penugonda. Sreemai, Kolli. Nandini, Sumit Pareek
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摘要

当决定是否让学生继续研究生课程的学习时,这不是一个容易做出的决定。有几个因素需要考虑。根据各种不同的标准对申请进行分析,并利用该检查的结果来预测申请人成功的可能性。在人类历史的长河中,回归分析作为一种方法被用于开发各种预测系统。另一方面,已经证明本研究中提出的模型具有非常有限的预测能力。这些作者利用从一所私立大学的MBA学生那里获得的调查数据,对这些关系进行了实证检验。利用这些信息生成的结构方程模型被用于调查。研究发现,课程内容本身是正确预测所有学习、满意度和质量的最关键因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Best Ways Using AI in Impacting Success on MBA Graduates
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.
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