The Mission Valley ROP Automotive Technology program on the James Logan High School (JLHS) campus officially has a national presence. They have successfully designed and built the only student-constructed solar charging station for electric vehicles in the nation. The project was entered into the Samsung "Solve for Tomorrow" STEM contest, which challenged students to apply Science, Technology, Engineering, and Math (STEM) education to solve practical, real-world issues affecting their community.
The MVROP Automotive Technology program and its students brought to light that while Electric Vehicle (EV) and Plug in Hybrid Vehicle (PHEV) sales are booming in California, this technology creates a new problem. EV's and PHEV's do not create emissions while in use, but the electricity used to charge these vehicles primarily is derived from a dependency on fossil fuels for its creation, therefore having a negative impact on the environment and the community.
Just prior to Winter Break in December 2015, students were announced as the contest winners for the State of California. A massive amount of hard work, creativity, and dedication were put into creating a three-minute video showcasing how the solar EV charging station was constructed and how STEM principles were applied to make the project come to fruition. After impressing Samsung, the program is now one of the top 15 national finalists in the "Solve for Tomorrow" contest. Students representatives for the project presented their final design to a panel of judges on March 15 at the New York Samsung office.
It is safe to say this is not your average Automotive Technology program. Thanks to the ingenuity of instructor Eba Mohamed, who implemented his experience gained during an IISME fellowship with Lockheed Martin over the summer, the classroom curriculum of his program continues to further enrich the CTE student learning experience. This is what happens when educational partners come together to support student success.
Check out the entries at the Solve for Tomorrow National Map.