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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
Lazar, Gillian; Ellis, Eddie – International Journal of English Studies, 2011
It is often assumed that the academic genres taught by EAP specialists at universities are fixed and stable, provide easily accessible exemplars for student writers and feature in programmes running prior or parallel to the students' courses. This paper describes a collaborative writing initiative in which these assumptions were challenged. A…
Descriptors: Collaborative Writing, Specialists, Methods, English (Second Language)
