Towards Student Success Prediction

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00076034" target="_blank" >RIV/00216224:14330/14:00076034 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Towards Student Success Prediction
Original language description
University information systems offer a vast amount of data which potentially contains additional hidden information and relations. Such knowledge can be used to improve the teaching and facilitate the educational process. In this paper, we introduce methods based on a data mining approach and a social network analysis to predict student grade performance. We focus on cases in which we can predict student success or failure with high accuracy. Machine learning algorithms can be employed with the averageaccuracy of 81.4%. We have defined rules based on grade averages of students and their friends that achieved the precision of 97% and the recall of 53%. We have also used rules based on study-related data where the best two achieved the precision of 96%and the recall was nearly 35%. The derived knowledge can be successfully utilized as a basis for a course enrollment recommender system.
Czech name
—
Czech description
—

Project
<a href="/en/project/LG13010" target="_blank" >LG13010: Czech Republic representation in the European Research Consortium for Informatics and Mathematics (ERCIM)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 6th International Conference on Knowledge Discovery and Information Retrieval - KDIR 2014
ISBN
9789897580482
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
162-169
Publisher name
2014 SCITEPRESS ? Science and Technology Publications
Place of publication
Portugal
Event location
Rome, Italy
Event date
Oct 21, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)