The Influence of Social Data on Student Success Prediction
| Autoři | |
|---|---|
| Rok publikování | 2014 |
| Druh | Článek ve sborníku |
| Konference | Proceedings of the 18th International Database Engineering & Applications Symposium - IDEAS 2014 |
| Fakulta / Pracoviště MU | |
| Citace | |
| Obor | Informatika |
| Klíčová slova | Social Network Analysis; Educational Data Mining; Prediction; Information System |
| Popis | Learning analytics is concerned with collecting, analyzing, and understanding data obtained from students. In this paper, we introduce methods based on data mining and social network analysis to predict a student success. We also focus on identification of different types of data that can be obtained from university information systems. We discuss their influence on the prediction accuracy. We confirm that data about student social behaviour improve accuracy successfully by 3% for one third of the 62 investigated courses. |
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