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03578nam a22004815i 4500 |
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978-3-319-02078-5 |
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130928s2014 gw | s |||| 0|eng d |
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|a 9783319020785
|9 978-3-319-02078-5
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|a 10.1007/978-3-319-02078-5
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|a Dias, Sofia B.
|e author.
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|a Towards an Intelligent Learning Management System Under Blended Learning
|h [electronic resource] :
|b Trends, Profiles and Modeling Perspectives /
|c by Sofia B. Dias, José A. Diniz, Leontios J. Hadjileontiadis.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2014.
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|a XXIV, 235 p. 36 illus., 2 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Intelligent Systems Reference Library,
|x 1868-4394 ;
|v 59
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|a 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.
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|a 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.
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|a Engineering.
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|a Artificial intelligence.
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|a Computational intelligence.
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|a Engineering.
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|a Computational Intelligence.
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|a Artificial Intelligence (incl. Robotics).
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|a Diniz, José A.
|e author.
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|a Hadjileontiadis, Leontios J.
|e author.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783319020778
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| 830 |
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|a Intelligent Systems Reference Library,
|x 1868-4394 ;
|v 59
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| 856 |
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|u http://dx.doi.org/10.1007/978-3-319-02078-5
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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