Amusement parks provide an authentic opportunity to conduct real science and apply physics and math concepts in real-world situations. While visiting an amusement park, not only will you have a fun-filled day of riding rides, but you will get to apply what you have learned about estimation, measurement, motion, forces, gravity, energy, and systems.
In the study of collisions between two carts, it is desirable to collect position data for both carts. This can be done with a pair of Voyagers, each connected to separate devices running the PocketLab app. Starting data collection on both Voyagers by simultaneously clicking data recording on both PocketLab apps is difficult. One cannot view the data on a single device in real time, and analysis of data requires combining data from two separate devices.
It would be nice if one could connect two (or more!) Voyagers to the same device—say to an Android device or an iOS device running an app that could display concurrent data collection from both Voyagers. Such a capability is possible by the use of Phyphox (physical phone experiments), an app developed at the 2nd Institute of Physics of the RWTH Aachen University in Germany. The author of this lesson has been working with a pre-release Android version of this app that supports BLE (Bluet
Let’s imagine two scenarios:
1. Two identical vehicles, each of whose speedometers reads 50 mph, travel toward each other and experience a head-on collision.
2. Another identical vehicle, traveling at 50 mph, hits an unmovable, unbreakable and impenetrable rock wall.
Which collision is more severe from the viewpoint of one of these vehicles?
Have your students attach Voyager to a Speedway Wonder™ car, set up a Speedway track of their own design, and they will be ready to challenge one another in a unique way. The main idea is to collect angular velocity data while Voyager circuits the track. Then by carefully studying the angular velocity graphs produced, determine posible layouts of the track. A magnet at one location along the track, coupled with simultaneously measuring magneti
Engage your students in engineering practices and classic force and motion and energy concepts in a fun and unique way. With a PocketLab attached to a Hot Wheels car and a track full of magnets, you'll be able to collect data on position, velocity, acceleration, and energy as your car zips up an over hills and around loops. Turn your students into theme park engineers and have them design "roller coaster" tracks, iterate on car designs for races, or teach basic concepts on position and velocity. This activity is sure to help engage your students in a meaningful way.
It’s not always enough to just hear music. Many of us enjoy visualizing it while listening. 4th of July fireworks are commonly synced to Sousa’s The Stars and Stripes Forever. Concert goers see spotlights flashing to their favorite pop songs. Modern home owners play their sound systems synchronized with Phillips Hue lighting and nanoleaf® light panels with a Rhythm module. For many years, classic visualizers have di
The ability to quickly match empirical data to well-known mathematical models is an essential feature in the analysis of experiments. This technique is generally referred to as curve-fitting. The up-and-coming, but not yet leased, CloudLab software from PocketLab provides an easy way to fit data to models including linear, quadratic, power, exponential, and logarithmic. This curve-fitting can be done for any selected region of PocketLab data. This lesson provides a sneak preview of this CloudLab featu
Collection of angular velocity and acceleration sensor data is prone to seemingly random “noisy” variations, even when the associated motion appears to be smooth to the observer. The easiest way to compensate for this variation is to compute the mean value for the duration of such a random variation. The up-and-coming, but not yet leased, CloudLab software from PocketLab provides an easy way to compute means, standard deviations, and other statistics for a selected region of PocketLab data.
Sensor-based inquiry is a dominant force in today’s science education, with the calibration of sensors being essential for high-quality measurement. Wikipedia® defines calibration as “the comparison of measurement values delivered by a device under test with those of a calibration standard of known accuracy.” In this lesson students will study the process of calibration: