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Proposal Submission Deadline: July 15, 2012
Packaging Digital Information for Enhanced Learning and Analysis: Data Visualization, Spatialization, Predictiveness, and Multidimensionality
A book edited by Dr. Shalin Hai-Jew
Kansas State University, USA
Introduction
People live in information spaces. Educators and instructional designers deal with a range of information that is presented in digital / electronic ways from a variety of academic fields. There are real-time social networking nodes-link diagrams. There are quantitative dashboards and interfaces with information from sensor networks or the back-end of learning systems. There are data visualizations with full motion or animations. With higher education and education turning towards data analytics as the next big advance, it is important to look at how information is gathered and then how it is visualized for accurate comprehension, analysis, and decision-making. Optimally, data collection and visualization are about achieving information omniscience (as well as moving backwards and forwards in time) in real time for situational awareness. There are pushes towards using complex tools for analyzing “big data” -- or large masses of information—in order to represent and to query it for value. There are also attempts to thoroughly analyze the past and to use predictive analytics into the future. This book will address issues of data collection and visualization for optimal learning and decision-making.
Publisher
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the “Information Science Reference” (formerly Idea Group Reference). Please visit www.igi-global.com. This book is anticipated to be released in 2013.
Inquiries and submissions can be forwarded electronically (Word document) or by mail to:
Dr. Shalin Hai-Jew
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