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Mining Knowledge from Educational Data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17450%2F09%3AA1000VZK" target="_blank" >RIV/61988987:17450/09:A1000VZK - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Mining Knowledge from Educational Data

  • Original language description

    Utilization of information and communication technologies in educational processes generates large amount of data as a side effect. Educational data may contain many interesting information and potential knowledge about students and their learning habits. However, such knowledge is hidden and their extraction is not trivial. Knowledge discovery from databases (also known as Data Mining) is a methodology for extraction of non-trivial, previously unknown, and potentially useful knowledge from data. In this paper, we discuss possibilities for applications of data mining in educational process.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AM - Pedagogy and education

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    O - Projekt operacniho programu

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Theoretical and Practical Aspects of Distance Learning

  • ISBN

    978-83-925281-4-2

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

  • Publisher name

  • Place of publication

  • Event location

    Cieszyn, Poland

  • Event date

    Oct 19, 2009

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article