Students modify a provided App Inventor code to design their own diseases. This serves as the evolution step in the software/systems design process. The activity is essentially a mini design cycle in which students are challenged to design a solution to the modification, implement and test it using different population patterns The result of this process is an evolution of the original app.

Students participating in Storm Signals play a critical role in the overall process of the Student Observation Network (S.O.N.). They are able to confirm the predictions of the Sunspotter's Sunspot Suspect, and they will predict magnetic storms around Earth, issuing Space Weather alerts that tell other students to begin monitoring the Magnetosphere for magnetic storms. By collecting and analyzing real-time data from their radio antennas, professional observatories, and NASA satellites, they can carry out the same duties as NASA researchers! The Space Weather alerts issued by the Space Environment Center (SEC) of NOAA (National Oceanographic and Atmospheric Administration) are essential to protect satellites, power grids and astronauts.

In Storm Signals you will learn:

1. How to instruct students in the construction of a simple device to detect radio emissions from the Sun.

2. How to enable students to obtain and interpret radio emissions from ground-based professional observatories.

3. How to enable students to obtain and interpret radio, x-ray and ultraviolet emissions from NASA satellites.

In an interactive and game-like manner, students learn about the mechanical advantage that is offered by gears. By virtue of the activity's mechatronics presentation, students learn to study a mechanical system as a dynamic system under their control as opposed to a static image. The system presented is of two motorized racing cars built using the LEGO® MINDSTORMS® robotics platform. The altered variable between the two systems is the gear train; one is geared up for speed and the other is geared down for torque. Students collect and analyze data to reinforce particular aspects and effects of mechanical advantage.