Predicting Student Performance in Higher Education
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F13%3A00069109" target="_blank" >RIV/00216224:14330/13:00069109 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/DEXA.2013.22" target="_blank" >http://dx.doi.org/10.1109/DEXA.2013.22</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/DEXA.2013.22" target="_blank" >10.1109/DEXA.2013.22</a>
Alternative languages
Result language
angličtina
Original language name
Predicting Student Performance in Higher Education
Original language description
In this work, we focus on predicting student performance using educational data. Students have to choose elective and voluntary courses for successful graduation. Searching for suitable and interesting courses is time-consuming and the main aim is to recommend students such courses. Two beneficial approaches are thoroughly discussed in this paper. The results were achieved by analysis of study-related data and structural attributes computed from the social network. To validate the proposed method basedon data mining and social network analysis, we evaluate data extracted from the information system of Masaryk University. However, the method is quite general and can be used at other universities.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
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
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
24th International Workshop on Database and Expert Systems Applications - Dexa 2013
ISBN
9780769550701
ISSN
1529-4188
e-ISSN
—
Number of pages
5
Pages from-to
141-145
Publisher name
IEEE Computer Society
Place of publication
Neuveden
Event location
Prague, Czech Republic
Event date
Aug 29, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—