Towards An Intelligent Learning Management System Under Blended Learning
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Towards an Intelligent Learning Management System Under Blended Learning
Author: Sofia B. Dias
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-09-29
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.
Technology and Workplace Skills for the Twenty-First Century
Technology and Workplace Skills for the Twenty-First Century examines many of the rapid changes taking place at the intersection of workplace demands and higher education throughout the Asia Pacific region. The globalized, interdependent twenty-first century workforce is built around computing, communication, and automation. These characteristics have changed the ways in which higher education is connected to the workforce and raised the stakes for educating students for the changing workforce. In this book, scholars and education leaders throughout Asia Pacific and the US investigate how the changing needs of the workforce have shaped higher education's curriculum, methods, and orientation, and show how different Asia Pacific countries have responded differently to these challenges.
Fuzzy Logic-Based Modeling in Collaborative and Blended Learning
Author: Hadjileontiadou, Sofia J.
language: en
Publisher: IGI Global
Release Date: 2015-07-31
Technology has dramatically changed the way in which knowledge is shared within and outside of traditional classroom settings. The application of fuzzy logic to new forms of technology-centered education has presented new opportunities for analyzing and modeling learner behavior. Fuzzy Logic-Based Modeling in Collaborative and Blended Learning explores the application of the fuzzy set theory to educational settings in order to analyze the learning process, gauge student feedback, and enable quality learning outcomes. Focusing on educational data analysis and modeling in collaborative and blended learning environments, this publication is an essential reference source for educators, researchers, educational administrators and designers, and IT specialists. This premier reference monograph presents key research on educational data analysis and modeling through the integration of research on advanced modeling techniques, educational technologies, fuzzy concept maps, hybrid modeling, neuro-fuzzy learning management systems, and quality of interaction.