Once a prediction has been made, it is the job of the students to go back and ensure that it makes sense for the given situation. When working with real data, it is easier for students to check for validity. For example, if the students predicted that their Barbie would only need 2 rubber bands to fall from 7 feet, but the data they collected showed that Barbie only fell 3 feet with 6 rubber bands, the students would easily be able to see that a mistake had been made.
Evaluate the Process
Once the data collection process is complete and predictions have been made, students must also evaluate how well they followed the procedure. Did they record measurements accurately? Did they keep other variables constant, like Barbie's weight, Barbie's height, or the way in which they dropped Barbie? Students should always take an evaluative look at how their process may have effected the outcomes.
Evaluate Each Other
When working with partners or groups, it is important that the students evaluate each other on how well they worked together. In some cases, students may not have evenly distributed the weight of responsibilities. As educators, we can try to eliminate imbalances in work-loads, but the ultimate reality is that sometimes this can occur. We must, therefore, allow the students to submit evaluations of each other in group, or team projects. Students should evaluate how evenly the work was distributed, how effectively they used the time given, how collaborative they were with their thoughts and answers, and how well they communicated with each other. All of these team skills are necessary for the students to have a successful project.