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Description
  • The paper aims at the utilization of Markov chains and n-gram models in order to determine common patterns in the learner’s behavior. The patterns represent sequences of units of learning that are visited by various users. The patterns would be used to recommend next units of learning with regard to previously visited units of learning. In this way a novice student might easily navigate through a complex structure of units of learning in a specific domain of interest without prior knowledge of the structure and links between topics.
  • The paper aims at the utilization of Markov chains and n-gram models in order to determine common patterns in the learner’s behavior. The patterns represent sequences of units of learning that are visited by various users. The patterns would be used to recommend next units of learning with regard to previously visited units of learning. In this way a novice student might easily navigate through a complex structure of units of learning in a specific domain of interest without prior knowledge of the structure and links between topics. (en)
Title
  • Identifying Patterns in Learner’s Behavior Using Markov Chains and N-gram Models
  • Identifying Patterns in Learner’s Behavior Using Markov Chains and N-gram Models (en)
skos:prefLabel
  • Identifying Patterns in Learner’s Behavior Using Markov Chains and N-gram Models
  • Identifying Patterns in Learner’s Behavior Using Markov Chains and N-gram Models (en)
skos:notation
  • RIV/62690094:18450/11:50000519!RIV13-GA0-18450___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP403/10/1310)
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
  • 203439
http://linked.open...ai/riv/idVysledku
  • RIV/62690094:18450/11:50000519
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Pattern identification; Content adaption; n-gram model; Markov chain; Learners behavior (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4D2AB8BAD69D]
http://linked.open...v/mistoKonaniAkce
  • Puerto de la Cruz, Spain
http://linked.open...i/riv/mistoVydani
  • Athens
http://linked.open...i/riv/nazevZdroje
  • European conference of computer science (ECCS´11)
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
  • Čech, Pavel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • World scientific and engineering academy and society
https://schema.org/isbn
  • 978-1-61804-056-5
http://localhost/t...ganizacniJednotka
  • 18450
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