Title: Learning Path Construction in e-Learning: What to Learn, How to Learn, and How to Improve
Authors: Fan Yang, Zhenghong Dong,
2016 | ISBN-10: 9811019436 | 153 pages
This book focuses on developing methods for constructing learning paths in terms of e-learning resources (learning contents), e-learning approaches (learning method), and e-learning quality (learning performance) to support learning. This book defines different teaching approaches for learning activities and organizes them into a learning path which indicates the learning sequence. This book introduces how to automatically generate well-structured learning resources for different students.
Also, this book introduces a method about how to generate adaptive learning approach to learn learning resources for different students. Finally, this book introduces a method to monitor and control learning quality. The adaptive learning path expresses well-structured learning contents, using which approach to access those learning contents, and in which sequence to carry out the learning process. The learning path comes with a monitoring tool to control the learning progress, which helps to make students having a balanced development on different knowledge and abilities.
Researchers who worked in E-learning area, both education and computer sciences people.Educators who worked in educational institutes, such as Universities, Schools, etc. They would like to use or study E-learning tools/technologies/methods in their own work.And technicians who run/design educational websites will understand the appeal of this work.
Title: E-Learning Systems: Intelligent Techniques for Personalization
Authors: Aleksandra Klašnja-Milićević, Boban Vesin
2016 | ISBN-10: 3319411616 | 294 pages
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.
Title: Smart Education and e-Learning 2016
(Smart Innovation, Systems and Technologies)
Authors: Vladimir Uskov, Robert J. Howlett, Lakhmi C. Jain
2016 | ISBN: 3319396897 | English | 567 pages
This book contains the contributions presented at the 3rd international KES conference on Smart Education and Smart e-Learning, which took place in Puerto de la Cruz, Tenerife, Spain, June 15-17, 2016.
It contains a total of 56 peer-reviewed book chapters that are grouped into several parts: Part 1 – Smart University: Conceptual Modeling, Part 2 “ Smart Education: Research and Case Studies, Part 3 “ Smart e-Learning, Part 4 “ Smart Education: Software and Hardware Systems, and Part 5 “ Smart Technology as a Resource to Improve Education and Professional Training. We believe that the book will serve as a useful source of research data and valuable information for faculty, scholars, Ph.D. students, administrators, and practitioners – those who are interested in innovative areas of smart education and smart e-learning.