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Automatic Detection of Concepts from Problem Solving Times

The result's identifiers

  • 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>

Alternative languages

  • 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

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

    Artificial Intelligence in Education

  • ISBN

    9783642391118

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    595-598

  • Publisher name

    Springer

  • Place of publication

    USA

  • Event location

    Memphis, TN, USA

  • Event date

    Jan 1, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article