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Packaging Digital Information for Enhanced Learning and Analysis: Data Visualization, Spatialization, and Multidimensionality

Packaging Digital Information for Enhanced Learning and Analysis: Data Visualization, Spatialization, and Multidimensionality

Shalin Hai-Jew (Hutchinson Community College, USA)
Indexed In: SCOPUS
Release Date: August, 2013|Copyright: © 2014 |Pages: 349
DOI: 10.4018/978-1-4666-4462-5
ISBN13: 9781466644625|ISBN10: 1466644621|EISBN13: 9781466644632
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Information Extraction
  • Information Gathering
  • Real-Time Data
  • Spatialized Data
  • Symbolic Data
  • Web-based Data Visualizations
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Editor/Author Biographies
Shalin Hai-Jew works as a grant writer at Hutchinson Community College. She has worked as a college professor and instructional designer for many years both in the U.S. and abroad. She has a doctorate in Educational Leadership from Seattle University, where she was a Morford Scholar. She has conducted a wide range of research and has published broadly.
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