Mining skills from educational data for project recommendations

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F15%3A00231005" target="_blank" >RIV/68407700:21240/15:00231005 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-19713-5_54" target="_blank" >http://dx.doi.org/10.1007/978-3-319-19713-5_54</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-19713-5_54" target="_blank" >10.1007/978-3-319-19713-5_54</a>

Result language
angličtina
Original language name
Mining skills from educational data for project recommendations
Original language description
We are focusing on an issue regarding how to actually recognize the skills of students based on educational results. Existing approaches do not offer suitable solutions. This paper will introduce algorithms making possible to aggregate educational results using ontology. We map the aggregated results, using various methods, as skills that are understandable for external partners and usable to recommend students for projects and projects for students. We compare the results of individual algorithms withsubjective assessments of students, and we apply a recommendation algorithm that closely models these skills.
Czech name
—
Czech description
—

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the International Joint Conference CISIS?15 and ICEUTE?15
ISBN
978-3-319-19713-5
ISSN
2194-5357
e-ISSN
—
Number of pages
11
Pages from-to
617-627
Publisher name
Springer-Verlag
Place of publication
Berlin
Event location
Burgos
Event date
Jun 15, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000365128500054

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