D 2014

The Influence of Social Data on Student Success Prediction

BYDŽOVSKÁ, Hana and Lubomír POPELÍNSKÝ

Basic information

Original name

The Influence of Social Data on Student Success Prediction

Authors

BYDŽOVSKÁ, Hana (203 Czech Republic, belonging to the institution) and Lubomír POPELÍNSKÝ (203 Czech Republic, guarantor, belonging to the institution)

Edition

Portugal, Proceedings of the 18th International Database Engineering & Applications Symposium - IDEAS 2014, p. 374-375, 2 pp. 2014

Publisher

BytePress

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Portugal

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

storage medium (CD, DVD, flash disk)

RIV identification code

RIV/00216224:14330/14:00075611

Organization unit

Faculty of Informatics

ISBN

978-1-4503-2627-8

Keywords in English

Social Network Analysis; Educational Data Mining; Prediction; Information System

Tags

International impact, Reviewed
Změněno: 16/10/2014 08:50, RNDr. Hana Bydžovská, Ph.D.

Abstract

V originále

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.

Links

LA09016, research and development project
Name: Účast ČR v European Research Consortium for Informatics and Mathematics (ERCIM) (Acronym: ERCIM)
Investor: Ministry of Education, Youth and Sports of the CR, Czech Republic membership in the European Research Consortium for Informatics and Mathematics