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Publikační činnost
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Katedra informatiky a počítačů (31400)
Title:
Language E-learning Based on Adaptive Decision-Making System
Citace
Bradáč, V. a Klimeš, C. Language E-learning Based on Adaptive Decision-Making System.
In:
Proceedings of the 12th European Conference on e-Learning.
Reading: ACPI, 2013. ACPI, 2013. s. 48-58. ISBN 978-1-909507-84-5.
Subtitle
Publication year:
2013
Obor:
Informatika
Number of pages:
677
Page from:
48
Page to:
58
Form of publication:
Elektronická verze
ISBN code:
978-1-909507-84-5
ISSN code:
Proceedings title:
Proceedings of the 12th European Conference on e-Learning
Proceedings:
Mezinárodní
Publisher name:
ACPI
Place of publishing:
Reading
Country of Publication:
Sborník vydaný v zahraničí
Název konference:
12th European Conference on E-learning 2013
Místo konání konference:
Sophia Antipolis
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Evropská akce
WoS code:
EID:
Key words in English:
e-learning, expert system, learning management system, adaptive learning, language education
Annotation in original language:
A model of adaptive e-learning system which is in the focus of this paper is created for significant optimisation of language learning with the primary focus on the English language, which is based on using Learning management systems. The model is supported by automated decision-making processes. Automation of such decision-making processes is required in several areas. Input information provided by the student carries a certain extent of uncertainty. Adaptation and automated progress are achieved by dividing the progress into four basic processes - (M1) acquisition, completion and evaluation of the input information about the student; (M2) definition of language learning objectives and admissible solutions for their achieving; (M3) modelling the progress of individual proposed solutions; (M4) approving one of the proposed solution. Each individual process is dealt with by the expert system individually.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17310/13:A1401912
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