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Download full textZhao, Yijun; Xu, Qiangwen; Chen, Ming; Weiss, Gary M. – International Educational Data Mining Society, 2020
Predicting student success in a data science degree program is a challenging task due to the interdisciplinary nature of the field, the diverse backgrounds of the students, and an incomplete understanding of the precise skills that are most critical to success. In this study, the applicant's future academic performance in a Master of Data Science…
Descriptors: Grade Prediction, Data Analysis, Masters Programs, Admission Criteria
Roohr, Katrina; Olivera-Aguilar, Margarita; Bochenek, Jennifer; Belur, Vinetha – ETS Research Report Series, 2022
The United States continues to be a top destination for international students pursuing an advanced degree. Some information about the characteristics of international students applying to graduate programs in the United States is available, but little is known about how these characteristics are related to test taker performance on graduate…
Descriptors: College Entrance Examinations, Graduate Study, Language Tests, English (Second Language)
Direct linkZimmermann, Judith; von Davier, Alina A.; Buhmann, Joachim M.; Heinimann, Hans R. – European Journal of Engineering Education, 2018
Graduate admission has become a critical process in tertiary education, whereby selecting valid admissions instruments is key. This study assessed the validity of Graduate Record Examination (GRE) General Test scores for admission to Master's programmes at a technical university in Europe. We investigated the indicative value of GRE scores for the…
Descriptors: Foreign Countries, College Entrance Examinations, Graduate Study, Language Tests
