Building and Assessing Intelligent Tutoring Systems with an e-Learning 2.0 Authoring System

Autor:	Hector Barbosa-León, Rosalío Zatarain-Cabada, Ramón Zatarain-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes-García
Rok vydání:	2010
Předmět:	Learning styles Team learning Multimedia Computer science Learning community Active learning ComputingMilieux_COMPUTERSANDEDUCATION Educational technology Adaptive learning computer.software_genre Social learning Experiential learning computer
Zdroj:	Advances in Artificial Intelligence – IBERAMIA 2010 ISBN: 9783642169519 IBERAMIA
Popis:	Knowledge Societies also named Social Learning Networks (SLN) allow interaction and collaboration between individuals (instructors and students), who share their connections under a scheme of learning communities around common learning interest. In this paper, we present Zamna, a Knowledge Society implemented as an adaptive learning social network. A community of Instructors and Learners can create, display, share and assess communities, intelligent tutoring systems or adaptive courses in a collaborative environment. The communities and courses are tailored to the student's learning style according to the learning style model of Felder-Silverman. The identification of community's and student's learning style is performed using self-organizing maps. The main contribution of this paper lies at the integration of Artificial Intelligence with SLN.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5e32528e7e273950a750f44be3290085 https://doi.org/10.1007/978-3-642-16952-6_1 Zobrazit plný text záznamu