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Using Problem Solving Times and Expert Opinion to Detect Skills

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00077270" target="_blank" >RIV/00216224:14330/14:00077270 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using Problem Solving Times and Expert Opinion to Detect Skills

  • Original language description

    Construction of a mapping between educational content and skills is an important part of development of adaptive ed- ucational systems. This task is difficult, requires a domain expert, and any mistakes in the mapping may hinder the po- tential of an educational system. In this work we study tech- niques for improving a problem-skill mapping constructed by a domain expert using student data, particularly prob- lem solving times. We describe and compare different tech- niques for the task ? a multidimensional model of problem solving times and supervised classification techniques. In the evaluation we focus on surveying situations where the combination of expert opinion with student data is most useful.

  • 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

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 7th International Conference on Educational Data Mining

  • ISBN

    9780983952541

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    433-434

  • Publisher name

    International Educational Data Mining Society

  • Place of publication

    London

  • Event location

    London

  • Event date

    Jan 1, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article