Scenario Based Learning:
Inquiry for a Digital Earth (NSU)

  • While text based media can provide a wealth of information, retention of data and facts is significantly limited. In contrast, a graphical representation allows us to absorb billions of bits of data instantly, e.g. maps, images, photographs. Therefore multi-dimensional graphical representations will be the only method to fully tap the vast amounts of data being gathered. Although multi-dimensional graphical virtual worlds have being used for many applications, it is not yet being exploited for educational purposes. The objectives of this project are:

  • Develop and test scenarios that utilize resources that will be available via Digital Earth. How will the Digital Earth network facilitate the goals of the individuals involved in a scenario? How will individuals use the available data?

  • Investigate whether multi-dimensional graphical virtual worlds and the scenario based learning strategy provide an effective learning environment. What would they learn? Are these worlds more appealing? What are the design criteria for these scenarios to be effective learning environments?

  • Produce a low-resolution 3-D Earth with geo-referenced data, which could be accessible by high end desktop machines. Could high end desktop machines maximize the use of Digital Earth resources?

  • Involve individuals of groups that have traditionally been underrepresented in Earth science in the creation and usage of Digital Earth Resources.

  • First, a three dimensional low resolution Earth elevation map that could run on high end yet affordable desktop machines will be created. Second, atmospheric science data, i.e., ozone, water vapor, sea surface temperature, precipitation, surface temperature, will be added to this Earth elevation map. Third, four scenarios will be played out with undergraduate students to test their ability to learn and make high order decisions based on the knowledge acquired with these multi-dimensional virtual world scenarios.
Contacts:
    Waldo Rodrigues
BESTLab/Chemistry,
Norfolk State University
700 Park Avenue,
Norfolk, VA 23504
Phone: (757)823-2381
waldo@vigyan.nsu.edu
Raj Chaudhury,
BESTLab/Chemistry
Norfolk State University
700 Park Avenue,
Norfolk, VA 23504
Phone: (757)823-9054
raj@vigyan.nsu.edu

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