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Student Success Prediction and the Trade-Off between Big Data and Data Minimization
DeLFI 2018 - Die 16. E-Learning Fachtagung Informatik
This paper explores student’s daily activity in a virtual learning environment in the anonymized Open University Learning Analytics Dataset (OULAD). We show that the daily activity of students can be used to predict their success, i.e. whether they pass or fail a course, with high accuracy. This is important since daily ...