MOBILE LEARNING: CONTEXT ADAPTATION AND SCENARIO APPROACH

MOBILE LEARNING: CONTEXT ADAPTATION AND SCENARIO APPROACH

The paper proposes a model of an open architecture for component context-dependent systems of computer training to the needs of the software applications of intelligent learning environments and adaptive learning systems. The structure of a content management system is developed based on Semantic We...

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Bibliographic Details
Main Authors: Vladimir V. Kureichik, Sergey I. Rodzin, Lada S. Rodzina
Format: Article
Language:English
Published: Plekhanov Russian University of Economics 2016-05-01
Series:Otkrytoe Obrazovanie (Moskva)
Subjects:
adaptive learning
context-aware system
content management probabilistic
automaton
scenario training
engine
bayesian network
Online Access:https://openedu.rea.ru/jour/article/view/208
Description
Summary:The paper proposes a model of an open architecture for component context-dependent systems of computer training to the needs of the software applications of intelligent learning environments and adaptive learning systems. The structure of a content management system is developed based on Semantic Web. The model for developing of the engine is supposed to be based on probabilistic automata. Another part of work is developing of learning scenarios and possibilities for its adaptation. The context approach for personalization of learning style is described in the paper as well.
ISSN:1818-4243
2079-5939

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