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there is less dissolved oxygen <strong>in</strong> the water after the fish have been there. For classrooms that cannot do actual<br />

tests, simulated, computer-based tests are available. All of these activities are prelim<strong>in</strong>ary to project-based<br />

activities <strong>in</strong> which students conduct water quality test<strong>in</strong>g at a local river and present and publish their f<strong>in</strong>d<strong>in</strong>gs<br />

for the local Water Quality Management Department.<br />

As noted above, our work with SMART WWWeb challenges is just beg<strong>in</strong>n<strong>in</strong>g: The Stones River<br />

Mystery challenge is the first we have attempted. By provid<strong>in</strong>g students and teachers with frequent<br />

opportunities for <strong>format</strong>ive assessment and revision, we believe that we can better help them reach the goals of<br />

the National Standards <strong>in</strong> areas such as science and mathematics. Our plans are to create additional <strong>in</strong>ternetbased<br />

challenges that focus on “big ideas” <strong>in</strong> areas such as mathematics, social studies, and literature.<br />

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[Barron, Vye, Zech, Schwartz, Bransford, Goldman, Pellegr<strong>in</strong>o, Morris, Garrison, & Kantor 1995]. Barron, B., Vye, N.J.,<br />

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[Pellegr<strong>in</strong>o, Hickey, Heath, Rewey, Vye, & Cognition and Technology Group at Vanderbilt 1991] Pellegr<strong>in</strong>o, J., Hickey,<br />

D., Heath, A., Rewey, K., Vye, N. J., & Cognition and Technology Group at Vanderbilt (1991). Assess<strong>in</strong>g the outcomes of<br />

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[Sherwood, Petros<strong>in</strong>o, L<strong>in</strong>, Lamon, & Cognition and Technology Group at Vanderbilt 1995]. Sherwood, R. D., Petros<strong>in</strong>o,<br />

A. J., L<strong>in</strong>, X., Lamon, M., & the Cognition and Technology Group at Vanderbilt (1995). Problem-based macro contexts <strong>in</strong><br />

science <strong>in</strong>struction: theoretical basis, design issues, and the development of applications. In D. Lavoie (Ed.), Towards a<br />

cognitive-science perspective for scientific problem solv<strong>in</strong>g (191-214). National Association for Research <strong>in</strong> Science<br />

Teach<strong>in</strong>g: Manhattan, KS.<br />

Acknowledgements<br />

The preparation of this chapter was supported by a grant from the National Science Foundation (NSF MDR-<br />

9252908). Members of the Cognition and Technology Group at Vanderbilt who contributed to the work<br />

described <strong>in</strong> the paper are: Brigid Barron, Helen Bateman, Kadira Belynne, John Bransford, Joan Davis,<br />

Michael Ga<strong>in</strong>es, Susan Goldman, Susan Hickman, Michael Jacobson, Taylor Mart<strong>in</strong>, Cynthia Mayfield-<br />

Stewart, Jim Pellegr<strong>in</strong>o, Dan Schwartz, Carolyn Stalcup, Nancy Vye, and L<strong>in</strong>da Zech.

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