Adaptive e-learning system for language learning

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F13%3AA14018DX" target="_blank" >RIV/61988987:17310/13:A14018DX - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Adaptive e-learning system for language learning

Popis výsledku v původním jazyce

The paper deals with an e-learning system for language learning. An e-learning system is viewed as an expert system working under uncertainty. Input information is acquired on the basis of didactic tests assessing student?s language level, questionnairesgathering information about student?s learning style, study prerequisites, etc., which is stored into a database and used for adaptation of content and learning style (topics, composition and form of the proposed study materials, etc.). Adaptation and automated passing are achieved by dividing the process of studying into four basic processes - (M1) acquisition, completion and evaluation of the input information; (M2) definition of language learning objectives and admissible solutions; (M3) modelling the progress of proposed solutions; (M4) approving one of the proposed solution as the best variant to achieve the learning objectives. The decision-making process making the choice of further progress is dealt with by an expert system usi

Název v anglickém jazyce

Adaptive e-learning system for language learning

Popis výsledku anglicky

The paper deals with an e-learning system for language learning. An e-learning system is viewed as an expert system working under uncertainty. Input information is acquired on the basis of didactic tests assessing student?s language level, questionnairesgathering information about student?s learning style, study prerequisites, etc., which is stored into a database and used for adaptation of content and learning style (topics, composition and form of the proposed study materials, etc.). Adaptation and automated passing are achieved by dividing the process of studying into four basic processes - (M1) acquisition, completion and evaluation of the input information; (M2) definition of language learning objectives and admissible solutions; (M3) modelling the progress of proposed solutions; (M4) approving one of the proposed solution as the best variant to achieve the learning objectives. The decision-making process making the choice of further progress is dealt with by an expert system usi

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

Scientia iuvenis

ISBN

978-80-558-0390-6

ISSN

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e-ISSN

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Počet stran výsledku

534

Strana od-do

473-479

Název nakladatele

Prírodovedecká fakulta, Univerzita Konštantína Filosofa v Nitre

Místo vydání

Nitra

Místo konání akce

Nitra

Datum konání akce

25. 9. 2013

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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