The SSciVEE Project

Supportive Scientific Visualization Environments for Education

Daniel C. Edelson and Roy D. Pea, Principal Investigators
Brian A. Clark, Research Associate and Programmer
Douglas N. Gordin, Graduate Research Assistant (Emeritus)
Matthew Brown, Graduate Research Assistant
Duane Griffin, Postdoctoral Fellow

School of Education and Social Policy and
Institute for the Learning Sciences
Northwestern University


 The work of the SSciVEE project was completed in April 1999.
Current work is being continued under the auspices of the WorldWatcher Project.
Up-to-date information and current resources can be found at http://www.worldwatcher.northwestern.edu.
 


Download a 2-page summary of the SSciVEE project

This page...

Project Overview

Description of the WorldWatcher Software

Selected Publications

Inquiries / Support / Related Work

SSciVEE Resource Pages...

Software, resources, and up-to-date materials are now available
at the website of the WorldWatcher Project


Project Overview

 

The potential of scientific visualization.

Scientific visualization has had a tremendous impact on the practice of science over the last decade by capitalizing on the power of the human visual perception system to identify patterns in complex data. The SSciVEE project is exploring the potential of this technology to improve science education in similar ways. The goal of this research is to demonstrate that scientific visualization, incorporated into inquiry-based learning, can enable students of diverse abilities to develop an understanding of complex scientific phenomena such as climate and weather. In traditional settings, this understanding has been out of the reach of all but the brightest and most highly motivated students. The challenge of this research is to identify the specific software and external supports that are necessary to transform scientific visualization into an effective educational technology.

Design for learners.

Our previous research has shown that scientific visualization can be a valuable tool for students engaged in inquiry-based learning. However, this research also revealed the need for a software architecture that can provide the specific support required by learners. The transformation of tools and techniques developed for scientists into environments to support students is a significant challenge. Under-standing the requirements of such supportive scientific visualization environments for education is the goal of this research. In the SSciVEE project, we are developing and evaluating scientific visualization environments for the study of climate and global climate change. These supportive environments enable learners to examine data sets created by the scientific community and to create their own data using built-in arithmetic operations and climate models. They allow students to view this data in the form of color maps at a variety of spatial and temporal resolutions. The activities are supported by a multimedia database, or mediabase, of background and explanatory materials focusing on science topics and scientific visualization techniques.

Research on learning.

Using these environments, we are conducting a series of studies designed to examine the prospects for and challenges of scientific visualization as a technology for secondary science education. In these studies, we are examining the ways in which the supportive scientific visualization architecture impacts both students' conceptual understanding and the process by which they conduct scientific inquiry. We are also investigating the process by which students learn to make sense of scientific visualizations, and the way that scientific visualization environments are adopted in classrooms.
 
 

back to top


Description of WorldWatcher Software

 

What is WorldWatcher? WorldWatcher, a supportive scientific visualization environment for the investigation of scientific data, is an enhanced version of the ClimateWatcher software that has been in use in K-12 and college classroms since April 1996. Like its predecessor, WorldWatcher provides an accessible and supportive environment for students to explore, create, and analyze scientific data. Its goal is to provide students with access to the same features found in the powerful, general-purpose visualization environments that scientists use while providing them with the support they require to learn through the use of the tools.

Some of WorldWatcher's key features are:
 
 

Data. WorldWatcher is a visualization environment for two-dimensional, gridded data. Data is distributed with WorldWatcher in data libraries that support educational activities centered around specific. In addition, users can import their own data into WorldWatcher using a standard spreadsheet format. The first data library that we have developed was designed to support investigations of global climate and climate change. This climate data includes global data sets showing the transfer of energy through the earth-atmosphere system. This climate-related data is supplemented with human and physical geography data that allow students to examine the causes and implications of climate change. The data sets are drawn from a variety of NASA and other public domain sources. Current data include:

One of the major new features in WorldWatcher is support for importing new data sets and creating new data libraries. This opens WorldWatcher for use in new arenas in the natural and social sciences ranging from human social geography to biodiversity. The SSciVEE Project is actively seeking collaborations with content-area experts to create new data libraries for use in broad educational settings.


Interface to data. WorldWatcher provides users with diagrammatic interfaces for accessing data. These interfaces can take the form of schematic diagrams that graphically display the relationships among variables (Figure 1a). Such an interface can help students to understand the meanings of variable names and their inter-relations (e.g., incoming solar energy and earth-atmosphere reflectivity). Users can create their own diagrammatic interfaces as part of the process of creating new data collections.
 
 

Figure 1a. The Interface to Energy Balance data in WorldWatcher.
 
 

Figure 1b. The interface to Human and Physical Geography data in WorldWatcher





Notes and Annotation. Users can annotate visualizations with a grease pen feature, record notes in annotation windows, and create dynamic WorldWatcher documents with a notebook feature. The notebook supports text, multimedia, and "hot" links to specific visualizations. Notebooks are simple and easy to use, offering an easily adaptable environment for teachers to design and disseminate activities, and for students to create projects or record their progress.
 
 

Interpretive visualization. WorldWatcher provides many of the display features of visualization environments designed for scientific researchers. It displays two-dimensional global data in the form of color maps. To provide geographical context, it displays them with latitude and longitude markings and an optional continent outline overlay (Figure 2).

A constantly updating readout follows the user's mouse as it travels over an image, displaying the current latitude, longitude, country or state/province, and data value. Users customize their scientific visualizations by modifying the colorscheme, the mapping of colors to numerical values, the spatial resolution, and the magnification. They can also choose to display units in either metric or alternative systems.

WorldWatcher provides statistical summaries for entire maps and for user-selected regions. Regions can be selected using rectangular and irregular region selection tools, as well as by specifying geographic areas by name (e.g., China), or data values by range (e.g., all areas with temperatures above 32 degrees F.).
 
 

Figure 2. A WorldWatcher Visualization window.



Analytic visualization. In addition to the statistical summaries described above, WorldWatcher provides a number of functions for the mathematical analysis of data. WorldWatcher supports the quantization of an image, i.e., the transformation of the full range of input data values into a small number of discrete values. It also supports both unary and binary mathematical operations on the data. Within an image, users can add, subtract, multiply, or divide all the values in a region or an entire image by a constant. They can also normalize the values in an image, and using the blackbody equation convert energy values to temperature and temperature values to energy. Binary operations enable users to apply a function at each location in two images. The binary operators in WorldWatcher are addition, subtraction, multiplication, division, maximum, minimum, and correlation. The result is displayed in the form of a new visualization.
 
 

Figure 3. Binary math operations in WorldWatcher

 
 

Expressive and constructive visualization. Some of the most powerful learning activities that we have observed students engage in with scientific visualization technologies are those in which they use representational media to express themselves and construct hypothetical scenarios. WorldWatcher enables students to use scientific visualizations as expressions of their beliefs and hypotheses in three ways. One is through the customization of the display of visualizations using the features for changing resolution, color schemes, and magnification described under interpretive visualization. The second is through the mathematical creation of new data using the techniques for analytical visualization described above or using the model described below. The third is through a direct manipulation interface using a paint metaphor. The WorldWatcher paint interface allows the user to "draw" new data values on a visualization using a paintbrush tool for painting pixel by pixel or a paintcan tool for filling regions. Users specify the data values to paint by typing in a value or by using an eyedropper tool to select values from an image or its colorscheme.
 
 

Figure 4. The WorldWatcher tool bar.

 
 

The eyedropper tools toward the left enable users to specify data values to paint. The paintbrush and paintcan tools are used to "paint" new data values in a visualization.

Students have used the expressive capabilities of WorldWatcher to represent the state of their understanding (e.g., prior conceptions) and to create hypothetical scenarios. Student-drawn visualizations can be used as input to the WorldWatcher model that calculates new energy balance data sets.

WorldWatcher GlobeBuilder

The GlobeBuilder program was inspired by the HyperGami program developed by Michael Eisenberg at the University of Colorado. GlobeBuilder will turn any WorldWatcher colormap into a cut-and-fold diagram that can be printed and assembled into a 3-d polyhedron representing the earth (Figure 5). GlobeBuilder can generate three different polyhedra: a cube, a middle crystal, and an icosohedron. The resulting approximations of a sphere can serve as powerful learning tools for understanding map projections, the relationship between the earth and sun, and the seasons.
 
 

Figure 5. A reduced cut-and-fold diagram of surface temperature created by the WorldWatcher GlobeBuilder application. This figure can be cut out and folded into a "middle crystal" polyhedron consisting fourteen square and triangular faces.



back to top


Selected Publications

Edelson, D. C., Gordin, D. N., Pea, R. D. (1997, March). Creating Science Learning Tools from Experts' Investigation Tools: A Design Framework. Paper presented at the Annual Meeting of the National Association for Research in Science Teaching, Oak Brook, IL, March 21-24, 1997.

Edelson, D. C. & Gordin, D.N. (1996) Adapting Digital Libraries for Learners: Accessibility vs. Availability. D-Lib Magazine, September 1996. [http://www.dlib.org/dlib/september96/09contents.html]

Edelson, D. C. (1996, in press). Realising authentic science learning through the adaptation of science practice. In B. J. Fraser & K. Tobin (Eds.), International Handbook of Science Education. Kluwer.

Gordin, D. N., Edelson, D. C., & Gomez, L. M. (1996). Scientific Visualization as an Interpretive and Expressive Medium. In D. C. Edelson & E. A. Domeshek (Eds.), Proceedings of the International Conference on the Learning Sciences, July 1996, Evanston, IL, (pp. 409-414). Charlottesville, VA: AACE.

Gordin, D.N., Edelson, D.C., Gomez, L.M., Lento, M., & Pea, R.D. (January,1996). "Student conference on global warming: A collaborative network-supported ecologically hierarchic geosciences curriculum," Proceedings of the Fifth American Meteorological Society Education Symposium.

Edelson, D. C., Pea, R. D., & Gomez., L. (1996). Constructivism in the collaboratory. In B. G. Wilson (Ed.), Constructivist learning environments: Case studies in instructional design, (pp. 151-164). Englewood Cliffs, NJ: Educational Technology Publications.

Pea, R., Gomez, L., & Edelson, D. (1995). Science Education as a Driver of Cyberspace Technology Development. Proceedings of the Annual Meeting of the Internet Society, Honolulu, HI, June 27-30.
 
 


Inquiries


To request information, send email to: info-worldwatcher@letus.northwestern.edu
To register your copy of WorldWatcher, send your name, address, and email address to: register-worldwatcher@letus.northwestern.edu

The WorldWatcher (Macintosh) software and reprints of publications are available upon request.

Address such inquiries to:

Daniel C. Edelson
Assistant Professor
Institute for the Learning Sciences
Northwestern University
1890 Maple Avenue
Evanston, IL 60201

E-mail: d-edelson@northwestern.edu
World-wide web: www.worldwatcher.northwestern.edu
 
 


Support


This research is supported by the National Science Foundation Division of Education and Human Resources (EHR) Program in Applications of Advanced Technology (AAT) under grant no. RED-9453715.
 
 


Related Work


The SSciVEE project maintains close relations with the Learning through Collaborative Visualization (CoVis) Project, as well as the Center for Learning Technologies in Urban Schools.
 
 


back to top

Go back to Learning Sciences Home Page
 
 

Updated 11/11/98

matt-brown@northwestern.edu