Modeling the Ogallala Aquifer on the Texas High Plains

 

 

Teaching/Learning 

Facts

Activities

Resources

Standards

Connections

Assessment

Glossary

Models

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Rubric

It's coming SOON!

Here's a start-- something to look at

Criterion

Exemplary Performance

Using the proper tools for model context

  • Proper choice of experimentation devices, e.g. probes, calculators, etc.
  • Uses appropriate software application for modeling
  • Suitable choice of software functions within model

Ability to create a functioning model

  • No errors in application and use of mathematical formulas
  • Appropriate choice and construction of formulas
  • Analyze model for accuracy, precision, and validity
  • Model is adaptable to changes in the situation
  • Uses proper data gathering techniques

Ability to analyze and predict outcomes in model

  • Valid interpretation of results
  • Distinguish model error from model implementation error

Model is a reflection of, or is based upon, understanding of real-life phenomena

  • Suitable choice and application of background data
  • Present real-world applications
  • Model provides an avenue for thought-provoking questions

Communication

Clear written or oral:

  • introduction of problem
  • model description
  • interpretation and analysis of results
  • inclusion of citations from research
  • uniqueness and creativity
  • understands difference between what the computer is doing and what the student is doing

Peer and Self-Evaluation

  • Participation
  • Cooperation
  • Collaboration
  • Respect
  • Documentation of original student work

Graphical Representation

  • Appropriate display of results (table, graph, flowchart, etc.)

 

Problem-Solving

  • Problem is properly identified
  • Hypothesis serves as foundation of model
  • Plan is laid out in advance

Content Knowledge

  • Using scientific and mathematical terminology correctly
  • Model is free of content misconceptions

 


Developed by
Marcia Talkmitt and Russ Russell 
Copyright © 2001


Developing Educational Leadership in Computational Science
SC2000 National Computational Science Leadership Program
This project is supported, in part, by the National Science Foundation.  Opinions expressed are those of the authors and not necessarily those of the National Science Foundation.