Data, Data Everywhere! Data Collection, Synthesis, and Analysis Are Important for Drawing Conclusions and Making Informed Decisions in the Realms of Society, Economics, Technology, and Politics
Busby, Joe R., Ernst, Jeremy V., Varnado, Terri E., The Technology Teacher
Data acquisition and analysis are cornerstones for informed decision making about the environment. Facts and figures are vital to the practical application of systems and products. These data are collected through various means and organized into useful forms (i.e., visual imagery, datasets, and sounds). The International Technology Education Association's (ITEA) Standards for Technological Literacy: Content for the Study of Technology (STL) (2000/2002/2007) document states, "When presented with a particular product or system, the technologically literate person should be able to gather information about it, synthesize this information, analyze trends, and draw conclusions regarding its positive or negative effects" (p. 133). Whether collected by persons or obtained from other sources, information is realized through sensing agents. Data-sensing activities in technology education classrooms further opportunities for students to use the design process to recognize environmental issues and trends, and project their impacts.
What is Data and Why is it Important?
Information is knowledge attained not only by sensing, but also through instruction, reflection, and/or investigation and systematic inquiry. Data is organized, factual information that may include symbols, numbers, measurements, amounts, words, sounds, and images (ITEA, 2000/2002/2007). Data can be used to help solve natural and man-made problems. Data collection, synthesis, and analysis are important for drawing conclusions and making informed decisions in the realms of society, economics, technology, and politics. For example, individuals in local areas, society as a whole, and the environment (generally and specifically) can be affected by phenomena such as inclement weather, deforestation, or landslides. Comparing, contrasting, and classifying data from different levels (i.e., satellite data, aerial photography, and ground truthing) allowed data download, data monitoring, and ground data teams to work together, "revealing that the rate of deforestation in the Amazon was not as rapid as originally thought, though the effects on biodiversity were greater than expected" (National Aeronautics and Space Administration [NASA], 1995, p. 8). This methodology used to expediently gather pertinent information is known as remote sensing.
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Remote Sensing
Remote sensing is an integral part of the human experience and lies within a human's five senses. The ā¦
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Publication information:
Article title: Data, Data Everywhere! Data Collection, Synthesis, and Analysis Are Important for Drawing Conclusions and Making Informed Decisions in the Realms of Society, Economics, Technology, and Politics.
Contributors: Busby, Joe R. - Author, Ernst, Jeremy V. - Author, Varnado, Terri E. - Author.
Journal title: The Technology Teacher.
Volume: 69.
Issue: 3
Publication date: November 2009.
Page number: 20+.
© 2009 International Technology Education Association.
COPYRIGHT 2009 Gale Group.
This material is protected by copyright and, with the exception of fair use, may not be further copied, distributed or transmitted in any form or by any means.
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