Evaluation should include
- interpreting the data to determine whether the test results are repeatable and reliable
- determining the degree to which the solution meets the design criteria
- weighing the advantages and disadvantages of the solution, including costs, time and resources required, plausibility, ethical considerations, and effects.
Process/Skill Questions:
- Why is it important to know whether the test results demonstrated by the model are repeatable and reliable?
- Why is it important to consider the disadvantages of the solution before attempting to implement it, even when the disadvantages are greatly outweighed by the advantages?
- How does one determine the true cost of the solution? What are the factors affecting cost?
- What is the difference between efficiency and effectiveness?
- How are data and results validated?
- Why is it important to consider how a solution might affect the environment?
- Why is it crucial to consider the ethics surrounding the potential solution?
- What criteria might one use to determine the degree to which the solution meets the objective stated in the design brief?