With higher education turning towards data analytics as the next big advance in technology, it is important to look at how information is gathered and visualized for accurate comprehension, analysis, and decision-making. Packaging Digital Information for Enhanced Learning and Analysis: Data Visualization, Spatialization, and Multidimensionality brings together effective practices for the end-to-end capture and web based presentation of information for comprehension, analysis, and decision-making. This publication is beneficial for educators, trainers, instructional designers, web designers, and graduate students interested in improving analytical tools.

Educators today are challenged with the task of designing curricula and standards for students of varying abilities. While technology and innovation steadily improve classroom learning, teachers and administrators continue to struggle in developing the best methodologies and practices for students with disabilities. Models for Effective Service Delivery in Special Education Programs brings together case studies and academic research on successful classroom models and practices to provide rewarding learning environments for students with disabilities. This publication is an essential reference source for special education teachers, supervisors, directors, and administrators, as well as academicians and researchers interested in developing special education programs within school districts and classrooms.

"This book concentrates on theory, application, and the development of web-based technologies for teaching and learning and its influence on the education system"--

Actor-Network Theory (ANT) has existed as a topic of interest among social theorists for decades. Due to the prevalence of technology in modern society, discussions over the influence of actor-network theory on the changing scope of technology can assist in facilitating further research and scientific thought. Technological Advancements and the Impact of Actor-Network Theory focuses on cross-disciplinary research as well as examples of the use of actor-network theory in a variety of fields, including medicine, education, business, engineering, environmental science, computer science, and social science. This timely publication is well-suited for reference use by academicians, researchers, upper-level students, and theorists.

The present book includes a set of selected extended papers from the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2015), held in Colmar, France, from 21 to 23 July 2015. The conference brought together researchers, engineers and practitioners interested in methodologies and applications of modeling and simulation. New and innovative solutions are reported in this book. SIMULTECH 2015 received 102 submissions, from 36 countries, in all continents. After a double blind paper review performed by the Program Committee, 19% were accepted as full papers and thus selected for oral presentation. Additional papers were accepted as short papers and posters. A further selection was made after the Conference, based also on the assessment of presentation quality and audience interest, so that this book includes the extended and revised versions of the very best papers of SIMULTECH 2015. Commitment to high quality standards is a major concern of SIMULTECH that will be maintained in the next editions, considering not only the stringent paper acceptance ratios but also the quality of the program committee, keynote lectures, participation level and logistics.

While online learning continues to be a rapidly expanding field of research, analyzing data allows educational institutions to fine tune their curriculum and teaching methods. Properly utilizing the data, however, becomes difficult when taking into account how socio-technical systems are used, the administration of those systems, default settings, how data is described and captured, and other factors. Methods for Analyzing and Leveraging Online Learning Data is a pivotal reference source that provides vital research on the application of data in online education for improving a system’s capabilities and optimizing it for teaching and learning. This publication explores data handling, cleaning, analysis, management, and representation, as well as the methods of effectively and ethically applying data research. Tying together education and information science with special attention paid to informal learning, online assessment, and social media, this book is ideally designed for educational administrators, system developers, curriculum designers, data analysts, researchers, instructors, and graduate-level students seeking current research on capturing, analyzing, storing, and sharing data-analytic insights regarding online learning environments.