Social Computing in Digital Education [recurso electrónico] : First International Workshop, SOCIALEDU 2015, Stanford, CA, USA, August 19, 2015, Revised Selected Papers / edited by Fernando Koch, Andrew Koster, Tiago Primo.
Tipo de material: TextoSeries Communications in Computer and Information Science ; 606Editor: Cham : Springer International Publishing : Imprint: Springer, 2016Descripción: XIII, 141 p. 72 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783319396729Tema(s): Computer science | Computers | Application software | Computer Science | Computing Methodologies | Computer ApplicationsFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 006 Clasificación LoC:QA75.5-76.95Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
Novel data mining and machine learning for social intelligence in digital education -- Social modelling and simulation to investigate social behaviours, emotional intelligence, influence processes and other social aspects that may influence learning performance in an educational environment -- Smart environments and interactive systems of social computing in digital education -- Analysis of social media and media intelligence in digital education -- Mobile social gaming in digital education -- The utilization of mobile and wearable technology in social systems in digital education, and others.
This book constitutes the refereed proceedings of the First International Workshop, SOCIALEDU 2015, held in Stanford, CA, USA, in August 2015. The workshop aimed to discuss computational models of social computing applied to Digital Education. The 9 revised full papers presented were carefully reviewed and selected from 12 submissions. The papers address issues such as novel data mining and machine learning for social intelligence in digital education.- Social modelling and simulation to investigate social behaviours, emotional intelligence, influence processes and other social aspects that may influence learning performance in an educational environment.- Smart environments and interactive systems of social computing in digital education.- Analysis of social media and media intelligence in digital education.- Mobile social gaming in digital education.- The utilization of mobile and wearable technology in social systems in digital education, and others.