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The Assessment of the Factors Influencing on the Students Academic Achievements Using the Data Mining Methods

Student: Danshina Elizaveta

Supervisor: Olga Evgenjevna Oshmarina

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Business Informatics (Bachelor)

Year of Graduation: 2017

Academic failure among first-year university students has long fuelled a large number of debates. Many educational psychologists have tried to understand and then explain it. Many statisticians have tried to foresee it. My research aims to distinguish, as early in the academic year as possible, students into three groups: the ‘low-risk’ students, who have a high probability to succeed, the ‘medium-risk’ students, who may succeed thanks to the measures taken by the university, and the ‘high-risk’ students, who have a high probability to fail (or to drop out). This research describes methodology and provides the most significant variables related to academic success among the questions included in the survey of 188 first and second year university students of the Facility of Informatics, Mathematics and Computer Science of the National Research University Higher School of Economics during the first semester of academic year 2016-17.

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