Development of Student’s Digital Footprints Analysis Based on Educational Data Mining Metodology

Student: Zhilkina Kseniia

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2020

Educational Data Mining (EDM) is an emerging field in learning data analysis. Its techniques help to extract useful and novel information from raw data, collected from learning systems and administrative resources to better understand students and the settings in which they learn. This paper aims to generate fresh insights into the National Research University Higher School of Economics (NRU HSE) learning processes by exploring and visualizing data from the annual student life monitoring. The results of this work can be further used by administration workers to optimize learning processes.

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