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Description
  • The aim of the paper is to present actual research application from the modern area of educational data mining. The paper deals with analysis of the data coming from a questionnaire survey focused on learning characteristics of students. Especially, characteristics supposed to be important for individualized e-learning have been evaluated during the research presented. Results of such kind of analysis could be potentially important for development of an adaptive Learning Management System. In the concrete, cluster analysis and decision tree induction have been used as data mining tools used for the computer analysis focused on identification and description of significant groups of students depending on their learning characteristics.
  • The aim of the paper is to present actual research application from the modern area of educational data mining. The paper deals with analysis of the data coming from a questionnaire survey focused on learning characteristics of students. Especially, characteristics supposed to be important for individualized e-learning have been evaluated during the research presented. Results of such kind of analysis could be potentially important for development of an adaptive Learning Management System. In the concrete, cluster analysis and decision tree induction have been used as data mining tools used for the computer analysis focused on identification and description of significant groups of students depending on their learning characteristics. (en)
Title
  • Computer Analysis of Learning Characteristics of Students
  • Computer Analysis of Learning Characteristics of Students (en)
skos:prefLabel
  • Computer Analysis of Learning Characteristics of Students
  • Computer Analysis of Learning Characteristics of Students (en)
skos:notation
  • RIV/61988987:17450/10:A120119O!RIV12-MSM-17450___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(EE2.3.09.0019)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 251737
http://linked.open...ai/riv/idVysledku
  • RIV/61988987:17450/10:A120119O
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • data mining; education; e-learning; personalized instruction (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [90BE67B50B4D]
http://linked.open...v/mistoKonaniAkce
  • Sevilla
http://linked.open...i/riv/mistoVydani
  • Seville
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the IASK International Conference Teaching and Learning 2010
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Zoubek, Lukáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 978-989-8295-02-6
http://localhost/t...ganizacniJednotka
  • 17450
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