Automatic Detection of Concepts from Problem Solving Times

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F13%3A00070141" target="_blank" >RIV/00216224:14330/13:00070141 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-39112-5_67" target="_blank" >http://dx.doi.org/10.1007/978-3-642-39112-5_67</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-39112-5_67" target="_blank" >10.1007/978-3-642-39112-5_67</a>

Result language
angličtina
Original language name
Automatic Detection of Concepts from Problem Solving Times
Original language description
Intelligent tutoring systems need to know a mapping between particular problems and general domain concepts. Such mapping can be constructed manually by an expert, but that is time consuming and error prone. Our aim is to detect concepts automatically from problem solving times. We propose and evaluate two approaches: a model of problem solving times with multidimensional skill and an application of spectral clustering. The results show that it is feasible to construct a problem-concept mapping from solely the problem solving times and that the results of the analysis can bring an interesting insight.
Czech name
—
Czech description
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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
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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