MOBILE LEARNING: CONTEXT ADAPTATION AND SCENARIO APPROACH

Autor:	Vladimir V. Kureichik, Sergey I. Rodzin, Lada S. Rodzina
Jazyk:	English<br />Russian
Rok vydání:	2016
Předmět:	adaptive learning context-aware system content management probabilistic automaton scenario training engine bayesian network Special aspects of education LC8-6691
Zdroj:	Открытое образование (Москва), Vol 0, Iss 4(99), Pp 75-82 (2016)
Druh dokumentu:	article
ISSN:	1818-4243 2079-5939
DOI:	10.21686/1818-4243-2013-4(99)-75-82
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/f64487b6bf8f4d8aa760b6ac36c0f0c8 Zobrazit plný text záznamu View record in DOAJ