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Modeling Students' Learning and Variability of Performance in Problem Solving

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F13%3A00070139" target="_blank" >RIV/00216224:14330/13:00070139 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modeling Students' Learning and Variability of Performance in Problem Solving

  • Original language description

    Given data about problem solving times, how much can we automatically learn about students' and problems' characteristics? To address this question we extend a previously proposed model of problem solving times to include variability of students' performance and students' learning during sequence of problem solving tasks. We evaluate proposed models over simulated data and data from a ``Problem Solving Tutor''. The results show that although the models do not lead to substantially improved predictions,the learnt parameter values are meaningful and capture useful information about students and problems.

  • 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

    Educational Data Mining

  • ISBN

    9780983952527

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    256-259

  • Publisher name

    International Educational Data Mining Society

  • Place of publication

    USA

  • Event location

    USA

  • Event date

    Jan 1, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article