Are Collaborative Filtering Methods Suitable for Student Performance Prediction?

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00083048" target="_blank" >RIV/00216224:14330/15:00083048 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-23485-4_42" target="_blank" >http://dx.doi.org/10.1007/978-3-319-23485-4_42</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-23485-4_42" target="_blank" >10.1007/978-3-319-23485-4_42</a>

Result language
angličtina
Original language name
Are Collaborative Filtering Methods Suitable for Student Performance Prediction?
Original language description
Researchers have been focusing on prediction of students? behavior for many years. Different systems take advantages of such revealed information and try to attract, motivate, and help students to improve their knowledge. Our goal is to predict student performance in particular courses at the beginning of the semester based on the student?s history. Our approach is based on the idea of representing students? knowledge as a set of grades of their passed courses and finding the most similar students. Collaborative filtering methods were utilized for this task and the results were verified on the historical data originated from the Information System of Masaryk University. The results show that this approach is similarly effective as the commonly used machine learning methods like Support Vector Machines.
Czech name
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Czech description
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Progress in Artificial Intelligence - 17th Portuguese Conference on Artificial Inteligence - EPIA 2015
ISBN
9783319234847
ISSN
0302-9743
e-ISSN
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Number of pages
6
Pages from-to
425-430
Publisher name
Springer International Publishing
Place of publication
Portugal
Event location
Coimbra, Portugal
Event date
Jan 1, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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