Prediction of Learning Success Via Rate of Events in Social Networks for Education

M. E. Sousa-Vieira, J. C. López-Ardao, M. Fernández-Veiga, O. Ferreira-Pires, M. Rodríguez-Pérez

2018

Abstract

The widespread use of computing and communications technologies has enabled the popularity of social networks oriented to learn. Earlier studies have shown the power of online learning systems data to develop prediction methods that try to identify successful students patterns of accomplishment and engagement to allow timely pedagogical interventions. Our learning platform, SocialWire, collects a detailed record of the students’ activity so, in this paper, we compare and combine the power of different statistical learning techniques, using some of the features recorded as predictors of learning success or failure.

Paper Citation

in Harvard Style

Sousa-Vieira M., López-Ardao J., Fernández-Veiga M., Ferreira-Pires O. and Rodríguez-Pérez M. (2018). Prediction of Learning Success Via Rate of Events in Social Networks for Education.In Proceedings of the 10th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-291-2, pages 374-382. DOI: 10.5220/0006780703740382

in Bibtex Style

@conference{csedu18,
author={M. E. Sousa-Vieira and J. C. López-Ardao and M. Fernández-Veiga and O. Ferreira-Pires and M. Rodríguez-Pérez},
title={Prediction of Learning Success Via Rate of Events in Social Networks for Education},
booktitle={Proceedings of the 10th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2018},
pages={374-382},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006780703740382},
isbn={978-989-758-291-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Prediction of Learning Success Via Rate of Events in Social Networks for Education
SN - 978-989-758-291-2
AU - Sousa-Vieira M.
AU - López-Ardao J.
AU - Fernández-Veiga M.
AU - Ferreira-Pires O.
AU - Rodríguez-Pérez M.
PY - 2018
SP - 374
EP - 382
DO - 10.5220/0006780703740382