A new Innovation Generation grant from the Motorola Solutions Foundation will help Array of Things expand its educational curriculum to additional Chicago Public Schools classrooms in 2018. Building upon two successful years of workshops with over 300 students at Lane Tech High School, the program will train teachers and package materials for a hands-on experience with the Internet of Things, coding, data science, and other key computer science and technology concepts.
For the second year running, Array of Things worked with Chicago’s Lane Tech High School on a workshop curriculum called “Lane of Things.” Over eight weeks, students in Lane Tech’s Innovation and Creation Lab and Physical Computing Lab worked with scientists and designers from the Array of Things project on designing and building their own sensor boxes. Teams then deployed those boxes around the school, collecting data on foot traffic, air quality, noise, student behavior, and more.
There were many motivations for Chicago’sArray of Things (AoT) project. While it is primarily an experimental research platform to measure the city and provide researchers with a testbed for new “smart city” concepts, AoT also aspires to be a research platform for Chicago educators, students, and residents.
As was the case last year, over 150 students worked in teams of three to learn about science, measurement, design and problem solving, data analytics, teamwork, and in the process, acquire hands-on experience with the concept of “Internet of Things” (or “IoT”)—an underlying enabler of the Array of Things.
For this second year of the program, IoT device platform makers Particle joined the team, providing the students with programmable, wireless networked microprocessors that served as the internal brains for their sensor “motes.” Students programmed these devices—calledPhotons—using Particle’s web portal. They learned how to make different internet services interact; for instance, programming the Photons to send data to online spreadsheets, streamlining the process of collecting and analyzing data.
Over the course of eight weeks, the student teams learned important skills, such as:
1.Formulating an hypothesis or question to be answered through experimentation. Although the curriculum revolves around sensors and IoT technologies, these are means rather than ends. To conduct a real scientific project, student teams first conceived of an hypothesis or a question. A good example is the project fromGroup 403. These students were interested in learning whether there is “a correlation between temperature, humidity, carbon monoxide, hydrogen, and UV levels in a greenhouse. The greenhouse gets the most sunlight out of any room in Lane Tech, so we wondered if there was any correlation with UV from the sun and the various gas levels in the room.”
2.Developing an experiment. Here the students designed a device that would take measurements relevant to their hypothesis or question.Group 708 designed a device that would let them measure “whether or not the time of day influences the amount of people that enter/exit the attendance office.” Typically, such an experiment would involve an observer with a clipboard, but the students used a motion sensor, placed in the doorway to the attendance office.
3.System design and problem solving. Once student groups decided on what kind of measurement to do, and what kind of sensor would be needed, they learned how to build the electronics that would use the sensor to gather data, as well as an enclosure and mounting system to position their devices for optimal measurement.Group 678 needed to enclose and mount their device in the dance studio in order “to record the level of sound in terms of volume and how loud a room gets, the temperature and humidity, and [use] a motion sensor to get an estimate of how many people walk by, get close, or interact with the photon. The three can all show correlation to how active the classroom is.”
4.Data analytics and web applications. While taking measurements for two weeks, project teams stored their data in online databases and spreadsheets, allowing them to graph and analyze the data. To do this, students learned how to expose variables to Particle’s cloud, then program online databases and spreadsheets to pull that data.Group 709 built a system to measure water temperature and clarity in Lane Tech’s aquaponics laboratory in order to provide “early warning” of system failure. They used graphs to analyze the data and concluded that their “data did not reveal any tampering or major failures in the aquaponic system (which is good) and we are confident that the mote would have detected a major problem if it had occurred. We are considering leaving the mote up over the summer when power to the aquaponic system is most likely to be accidentally shut off.”
5.Teamwork. Unexpected challenges often bring out the best in teams. Group 402 discovered a hardware issue that delayed their installation, and had to pull together under a deadline to resolve it. They describe it quite well: “The day before we were supposed to deploy, we came into class and found that the pins connecting the wires on our sound sensor were broken off. So, we spent the whole period re-soldering the sensor and wiring it to the breadboard. We missed at least 3-4 days of data pulling, but it all worked out in the end.”
What’s Next for Lane of Things?
The LoT team is already working on packaging the curriculum and developing a workshop to enable faculty from other high schools to bring the program to their schools. And of course, the team is eagerly preparing for next year’s program, which will include teaching the students how to use theArray of Things application programming interfaces to incorporate data from the Array of Things! If you are a teacher or school representative interested in participating in future versions of Lane of Things, please contact us at firstname.lastname@example.org.
- Charlie Catlett, Director, Urban Center for Computation and Data
The Hawaii International Conference on System Sciences (HICSS-51) will be January 3-6, 2018, at Hilton Waikoloa Village on Hawaii’s Big Island. We are organizing the minitrack "Turning Smart: Challenges and Experiences in Smart Application Development" at the conference. The conference provides a unique and highly interactive environment for researchers to exchange perspectives and ideas in various areas of information, computer, and system sciences.
Chicago is ahead of the curve in its effort to use sensors to track traffic conditions. Chicago's Array of Things project posts sensors above many of the city's intersections to track air quality and traffic conditions on a block-by-block level.
The project is an early example of how cities will leverage data to better serve citizens.
At Lane Tech High School over the past year, more than 150 students accessed real-time data from some 500 sensors in order to learn about problem solving, design, measurement, data analysis, the scientific process and teamwork. Thanks to the “Array of Things” — a partnership of private-sector leaders, the University of Chicago and Argonne National Laboratory — there is great hope that this program will continue at Lane Tech and even expand throughout Chicago.
Let’s consider what would happen if that expansion were sped up. What if tomorrow Chicago’s approximately 500,000 students all had access to such a program? What if there were a million or more sensors involved in collecting data that could be used to address a wide array of civic challenges? How could children on the West Side conduct experiments with sensors from schools on the lakefront through a connected network? Where would data be stored, secured and shared so that residents anywhere in the city could participate in creating solutions? What kinds of dashboards could be created to share the findings?