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"The book provides A guidelines approach on how to implement the proposed theory and tools in e-learning programs"--Provided by publisher.
In recent years, information and communication technologies (ICTs) have gained significant importance and become vital to the operations of both organizations and individuals. However, there are numerous factors that have affected the adoption of ICTs including access and accessibility barriers, political participation, and social empowerment. This has attracted the attention of researchers who are interested in understanding the socioeconomic influences of ICT adoption and how these technologies impact the infrastructure of modern organizational activities. Recent Developments in Individual and Organizational Adoption of ICTs is a collection of innovative research on the methods of organizational and infrastructural advancement through the application of information and communication technologies. While highlighting topics including internet banking, supply chain management, and e-government services, this book is ideally designed for managers, researchers, policymakers, politicians, business practitioners, educators, decision scientists, strategists, and students seeking current research on the socioeconomic impact of ICT adoption.
Successful use of information and communication technologies depends on usable designs that do not require expensive training, accommodate the needs of diverse users and are low cost. There is a growing demand and increasing pressure for adopting innovative approaches to the design and delivery of education, hence, the use of online learning (also called E-learning) as a mode of study. This is partly due to the increasing number of learners and the limited resources available to meet a wide range of various needs, backgrounds, expectations, skills, levels, ages, abilities and disabilities. The advances of new technology and communications (WWW, Human Computer Interaction and Multimedia) have made it possible to reach out to a bigger audience around the globe. By focusing on the issues that have impact on the usability of online learning programs and their implementation, Usability Evaluation of Online Learning Programs specifically fills-in a gap in this area, which is particularly invaluable to practitioners.
There is currently a technological revolution taking place in higher education. The growth of e-learning is being described as explosive, unprecedented, and above all, disruptive. This timely and comprehensive book provides a coherent framework for understanding e-learning in higher education. The authors draw on their extensive research in the area to explore the technological, pedagogical and organisational implications of e-learning, and more importantly, they provide practical models for educators to use to realise the full potential of e-learning. A unique feature of the book is that the authors focus less on the ever-evolving technologies and more on the search for an understanding of these technologies from an educational perspective. This book will be invaluable for researchers, practitioners and senior administrators looking for guidance on how to successfully adopt e-learning in their institutions. It will also appeal to anyone with an interest in the impact of e-learning on higher education and society.
This book constitutes the refereed proceedings of the 8th International Conference on Web-Based Learning, ICWL 2009, held in Aachen, Germany, in August 2009. The 38 revised full papers and 14 short papers are presented together with three invited papers and were carefully reviewed and selected from 106 submissions. They deal with topics such as technology enhanced learning, web-based learning for oriental languages, mobile learning, social software and Web 2.0 for technology enhanced learning, learning resource deployment, organization and management, design, model and framework of E-learning systems, e-learning metadata and standards, educational gaming and multimedia storytelling for learning, as well as practice and experience sharing and pedagogical Issues.
This monograph provides a comprehensive research review of intelligent techniques for personalisation of e-learning systems. Special emphasis is given to intelligent tutoring systems as a particular class of e-learning systems, which support and improve the learning and teaching of domain-specific knowledge. A new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system is presented. This approach incorporates a recommender system based on collaborative tagging techniques that adapts to the interests and level of students' knowledge. These innovations are important contributions of this monograph. Theoretical models and techniques are illustrated on a real personalised tutoring system for teaching Java programming language. The monograph is directed to, students and researchers interested in the e-learning and personalization techniques.
Web-based training, known as e-learning, has experienced a great evolution and growth in recent years, as the capacity for education is no longer limited by physical and time constraints. The emergence of such a prized learning tool mandates a comprehensive evaluation of the effectiveness and implications of e-learning. Advances in E-Learning: Experiences and Methodologies explores the technical, pedagogical, methodological, tutorial, legal, and emotional aspects of e-learning, considering and analyzing its different application contexts, and providing researchers and practitioners with an innovative view of e-learning as a lifelong learning tool for scholars in both academic and professional spheres.
This book is to explores a variety of facets of online learning environments to understand how learning occurs and succeeds in digital contexts and what teaching strategies and technologies are most suited to this format. Business, health, government and education are some of the core sectors of society which have been experiencing deep transformations due to a generalized digitalization. While these changes are not novel, the swift progress of technology and the rising complexity of digital environments place a focus on the need for further research and novel strategies. In the context of education, the promise of increased flexibility and broader access to educational resources is impelling much of higher education’s course offerings to online environments. The 21st century learner requires an education that can be pursued anytime and anywhere and that is more aligned with the demands of a digital society. Online education not only assists students to success-fully integrate a workforce that is increasingly digital, but it helps them to become more comfortable with the use of technology in general and, hence, more prepared to be prolific digital citizens. The variety of settings portrayed in this volume attest to the unlimited opportunities afforded by online learning and serve as valuable evidence of its benefit for students’ educational experience. Moreover, these research efforts assist a more comprehensive reflection about the delivery of higher education in the context of online settings.
Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems addresses information security within e-Learning based on trustworthiness assessment and prediction. Over the past decade, many learning management systems have appeared in the education market. Security in these systems is essential for protecting against unfair and dishonest conduct—most notably cheating—however, e-Learning services are often designed and implemented without considering security requirements. This book provides functional approaches of trustworthiness analysis, modeling, assessment, and prediction for stronger security and support in online learning, highlighting the security deficiencies found in most online collaborative learning systems. The book explores trustworthiness methodologies based on collective intelligence than can overcome these deficiencies. It examines trustworthiness analysis that utilizes the large amounts of data-learning activities generate. In addition, as processing this data is costly, the book offers a parallel processing paradigm that can support learning activities in real-time. The book discusses data visualization methods for managing e-Learning, providing the tools needed to analyze the data collected. Using a case-based approach, the book concludes with models and methodologies for evaluating and validating security in e-Learning systems. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS - Provides guidelines for anomaly detection, security analysis, and trustworthiness of data processing - Incorporates state-of-the-art, multidisciplinary research on online collaborative learning, social networks, information security, learning management systems, and trustworthiness prediction - Proposes a parallel processing approach that decreases the cost of expensive data processing - Offers strategies for ensuring against unfair and dishonest assessments - Demonstrates solutions using a real-life e-Learning context
Design Recommendations for Intelligent Tutoring Systems explores the impact of computer-based tutoring system design on education and training. Specifically, this volume, “Learner Modeling” examines the fundamentals of learner modeling and identifies best practices, emerging concepts and future needs to promote efficient and effective tutoring. Part of our design recommendations include current, projected, and needed capabilities within the Generalized Intelligent Framework for Tutoring (GIFT), an open source, modular, service-oriented architecture developed to promote simplified authoring, reuse, standardization, automated instruction and evaluation of tutoring technologies.