Predicting Student Performance in Higher Education

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Predicting Student Performance in Higher Education

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Predicting Student Performance in Higher Education

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/LG13010" target="_blank" >LG13010: Zastoupení ČR v European Research Consortium for Informatics and Mathematics</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

24th International Workshop on Database and Expert Systems Applications - Dexa 2013

ISBN

9780769550701

ISSN

1529-4188

e-ISSN

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Počet stran výsledku

5

Strana od-do

141-145

Název nakladatele

IEEE Computer Society

Místo vydání

Neuveden

Místo konání akce

Prague, Czech Republic

Datum konání akce

29. 8. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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