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Statements

Subject Item
n2:RIV%2F61988987%3A17310%2F13%3AA14018E0%21RIV14-MSM-17310___
rdf:type
skos:Concept n14:Vysledek
dcterms:description
The paper deals with the area of e-learning education. The research consists in proposing an expert system for decision-making support in defining an ideal learning model, individualised for each student. Thus the system is designed in order to enable the student to pass automatically through the e-learning course while the condition of adapting the content to the student?s learning style is met. Adaptation and automated passing are achieved by dividing the process of studying into four basic processes Process (M1) contains two basic subprocesses dealing with acquiring information about the student: their learning style based on a questionnaire inquiry and their language level based on a didactic test. The decision-making process is also influenced by information of a non defined character (fuzzy), the system then chooses a solution using IF-THEN rules. The adaptive system for decision-making support will enable automated creation of study variants which are suited to individual students? needs. The paper deals with the area of e-learning education. The research consists in proposing an expert system for decision-making support in defining an ideal learning model, individualised for each student. Thus the system is designed in order to enable the student to pass automatically through the e-learning course while the condition of adapting the content to the student?s learning style is met. Adaptation and automated passing are achieved by dividing the process of studying into four basic processes Process (M1) contains two basic subprocesses dealing with acquiring information about the student: their learning style based on a questionnaire inquiry and their language level based on a didactic test. The decision-making process is also influenced by information of a non defined character (fuzzy), the system then chooses a solution using IF-THEN rules. The adaptive system for decision-making support will enable automated creation of study variants which are suited to individual students? needs.
dcterms:title
Adaptive model to support decision-making in language learning Adaptive model to support decision-making in language learning
skos:prefLabel
Adaptive model to support decision-making in language learning Adaptive model to support decision-making in language learning
skos:notation
RIV/61988987:17310/13:A14018E0!RIV14-MSM-17310___
n14:predkladatel
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n3:aktivity
S
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n11:2014
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n4:D
n3:duvernostUdaju
n15:S
n3:entitaPredkladatele
n21:predkladatel
n3:idSjednocenehoVysledku
59490
n3:idVysledku
RIV/61988987:17310/13:A14018E0
n3:jazykVysledku
n5:eng
n3:klicovaSlova
e-learning; expert system; learning management system; adaptive learning; language learning.
n3:klicoveSlovo
n7:e-learning n7:language%20learning. n7:learning%20management%20system n7:expert%20system n7:adaptive%20learning
n3:kontrolniKodProRIV
[87A6934A68E9]
n3:mistoKonaniAkce
Barcelona
n3:mistoVydani
Barcelona
n3:nazevZdroje
EDULEARN2013
n3:obor
n8:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:rokUplatneniVysledku
n11:2013
n3:tvurceVysledku
Bradáč, Vladimír
n3:typAkce
n18:WRD
n3:zahajeniAkce
2013-07-01+02:00
s:issn
2340-1117
s:numberOfPages
6672
n13:hasPublisher
International Association of Technology, Education and Development (IATED)
n19:isbn
978-84-616-3822-2
n16:organizacniJednotka
17310