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:
The maker revolution has grown by leaps and bounds during the past four years. With dozens of robotic toys for learning and discovery now in the marketplace, it makes sense to give students opportunities for interfacing these robots with the investigative powers of PocketLab Voyager. This lesson describes an example project by which students interface Voyager with Modular Robotics Cubelets—robot blocks that magnetically connect to form an endless variety of robots. There are seventeen different blocks in three categories—sense, think, and act.
This lesson is motivated by an article by Paul G. Hewitt entitled “Sailing into the Wind: A Vector Explanation”, appearing in the Summer 2017 edition of NSTA’s The Science Teacher. Why not put a sail on a Teacher Geek® cart powered by wind from a fan and confined to move along a track?
In addition to being a fascinating toy, the ZéCar flywheel powered car can be utilized in physics curricula to study conservation of energy. It is available from a variety of sources, including teachersource.com for under $14. In this lesson students study energy conservation, including gravitational potential energy, translational kinetic energy, rotational kinetic energy, and work done against non-conservative frictional forces, with emphasis on comparing ZéCar with the PocketLab Teacher Geek
In addition to being a fun toy, the “Slinky” is commonly used in physics classes to qualitatively investigate a variety of wave properties: longitudinal versus transverse traveling waves, superposition of waves, wave reflection from a solid barrier or a free end, and standing waves and resonance. Many of these investigations work well when the Slinky is stretched out on the surface of a floor. However, to do a quantitative study of standing waves and resonance, suspending the stretched Slinky from the ceiling offers the advantages of less fricti
With the current growth in interest in flywheels, stemming from concern for the environmental impact of fossil fuel use, flywheels provide a convenient way for storing energy. Because of this, the study of flywheels in the physics curriculum is well worth consideration by teachers. Such a study allows for a careful examination of the principles of conservation of energy, as well as both linear and rotational kinematics. PocketLab Voyager’s ability to collect angular velocity data makes data collection much easier than was required in similar past experiments wit
Carts constructed with the LEGO® Simple & Powered Machines Set are great for studying motion kinematics, as the resultant motion is fairly smooth, resulting in less noisy data. While you can use the range finder and PocketLab app, it has been found by the author that using Voyager and the VelocityLab app is less noisy as well. The problem that one immediately confronts when considering this approach, however, is that both the small wheels and the large wheels in the LEGO® set are too small for attaching Voyager.