Fr. 135.00

Towards an Intelligent Learning Management System Under Blended Learning - Trends, Profiles and Modeling Perspectives

Anglais · Livre Relié

Expédition généralement dans un délai de 6 à 7 semaines

Description

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What are the key channels to change in blended instructional practice as they relate to the use of a learning management system (LMS)? What role LMS users' profiles play in facilitating change in practice? Can we model users' quality of interaction (QoI) with LMS? How inclusiveness and affectiveness could lead to a personalized intelligent LMS (iLMS)? If these questions sound intrinsic to you and to your own experience and circumstance, then this book fits absolutely to you.
Here, the term Blended - viewed as a fuzzy concept - is understood as a stepping-stone on the way to the future, to explain the multiple ways human beings think/act/feel of society in the 21st century and to embrace the opportunity of humans to re/co-construct new knowledge through the intermediation role of the technology. Initially, based on an online learning environment' theoretical framework, some current issues of the educational processes in the digital age of Web 2.0 are analyzed. Then, after exploring the main methodological procedures, characteristic examples of research case studies follow, including LMS users' trends and profiles and modeling of their QoI using fuzzy logic.
This book offers useful information that evokes initiatives towards rethinking of the value, efficiency, inclusiveness, affectiveness and personalization of the iLMS-based b-learning environment, both by the educators, the LMS designers and educational policy decision makers.

Table des matières

Part I Review of Literature: From Macro to Micro Intelligent.- Part II Blending Quantitative and Qualitative Methods: Triangulation as a State of Mind.- Part III The Art and Science of a Case Study in Higher Education: Towards a Pro-Intelligent System.- Part IV Overall Landscape.- Part IV Overall Landscape.

Résumé

What are the key channels to change in blended instructional practice as they relate to the use of a learning management system (LMS)? What role LMS users’ profiles play in facilitating change in practice? Can we model users’ quality of interaction (QoI) with LMS? How inclusiveness and affectiveness could lead to a personalized intelligent LMS (iLMS)? If these questions sound intrinsic to you and to your own experience and circumstance, then this book fits absolutely to you.
Here, the term Blended – viewed as a fuzzy concept – is understood as a stepping-stone on the way to the future, to explain the multiple ways human beings think/act/feel of society in the 21st century and to embrace the opportunity of humans to re/co-construct new knowledge through the intermediation role of the technology. Initially, based on an online learning environment’ theoretical framework, some current issues of the educational processes in the digital age of Web 2.0 are analyzed. Then, after exploring the main methodological procedures, characteristic examples of research case studies follow, including LMS users’ trends and profiles and modeling of their QoI using fuzzy logic.
This book offers useful information that evokes initiatives towards rethinking of the value, efficiency, inclusiveness, affectiveness and personalization of the iLMS-based b-learning environment, both by the educators, the LMS designers and educational policy decision makers.

Détails du produit

Auteurs Sofia Dias, Sofia B Dias, Sofia B. Dias, José A. Diniz, José Diniz, José A Diniz, José A. Diniz, Leont Hadjileontiadis, Leontios J. Hadjileontiadis
Edition Springer, Berlin
 
Langues Anglais
Format d'édition Livre Relié
Sortie 02.08.2013
 
EAN 9783319020778
ISBN 978-3-31-902077-8
Pages 235
Dimensions 161 mm x 239 mm x 19 mm
Poids 502 g
Illustrations XXIV, 235 p. 36 illus., 2 illus. in color.
Thèmes Intelligent Systems Reference Library
Intelligent Systems Reference Library
Catégories Sciences naturelles, médecine, informatique, technique > Technique > Général, dictionnaires

B, Artificial Intelligence, engineering, Computational Intelligence, Intelligent Systems, Learning Management Systems, Intelligent Online Learning Environments (iOLEs)

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