Authors:
- Presents recent research in Intelligent Learning Management Systems under Blended Learning
- Investigates the conceptual, cultural, educational and innovative landscape, in the context of intelligent online learning environments
- Written by experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 59)
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Table of contents (13 chapters)
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Front Matter
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Review of Literature: From Macro to Micro Intelligent Point of View
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Front Matter
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Blending Quantitative and Qualitative Methods: Triangulation as a State of Mind
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Front Matter
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The Art and Science of a Case Study in Higher Education: Towards a Pro-Intelligent System
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Front Matter
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Overall Landscape
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Front Matter
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Back Matter
About this book
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.
Authors and Affiliations
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Department of Education, Social Sciences and Humanities, University of Lisbon, Lisbon, Portugal
Sofia B. Dias, José A. Diniz
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Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
Leontios J. Hadjileontiadis
Bibliographic Information
Book Title: Towards an Intelligent Learning Management System Under Blended Learning
Book Subtitle: Trends, Profiles and Modeling Perspectives
Authors: Sofia B. Dias, José A. Diniz, Leontios J. Hadjileontiadis
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-02078-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-02077-8Published: 09 October 2013
Softcover ISBN: 978-3-319-37598-4Published: 23 August 2016
eBook ISBN: 978-3-319-02078-5Published: 29 September 2013
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XXIV, 235
Number of Illustrations: 34 b/w illustrations, 2 illustrations in colour