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Fig. 1: A schematic illustration of IoT as a STEM learning integrator |
Future sustainable and
resilient infrastructure is expected to be powered by renewable energy,
be able to respond intelligently to changes in the environment, and
support smart and connected communities. We are pleased to announce that
the National Science Foundation (NSF) has
awarded
our team a $2.9 million, four-year grant to explore the STEM education
and workforce development challenges and opportunities in the coming
transformation of our nation's infrastructure.
One of the core innovations will be a cyber-physical engineering
platform for designing Internet of Things (IoT) systems that manage the
resources, space, and processes of a community based on real-time
analysis of data collected by various sensors. This innovation is
potentially transformative as it can
turn the entire building of a home,
the entire campus of a school, or the entire area of a town into an
engineering laboratory with virtually unlimited opportunities for
learning, research, and exploration.
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Fig. 2: A possible IoT system for managing a parking lot |
Designing an IoT system provides plenty of opportunities to learn
math, science, engineering, and computation practices in an integrated
fashion, rather than in isolation. Working with sensors allows students
to learn the science behind them through inquiry. For example, to
calibrate an IoT system, students must understand what specific
variables the sensor data represent scientifically. They must analyze
the data to explore in what ranges the variables are supposed to vary in
different scenarios in order to determine which type of response should
be triggered, to what, and when. The acquired knowledge is then applied
to the design of an IoT system, which requires engineering design
thinking to make trade-off decisions, optimize system performance, and
achieve cost effectiveness. Finally, the control, response, and
integration of the entire system are realized through computer
programming that deals with all foreseeable complexities. The overlaps
among three basic skills—scientific reasoning, design thinking, and
computational thinking—supported by the IoT platform provide researchers
an opportunity to study their integration, as illustrated in Figure 1.
(In fact, mathematical thinking is also involved, but let's just leave
that out for now.)
This project is unique to engineering and computer science education
because IoT is not only a crucial part of electrical engineering and
information technology, but it is also one of the few ways through which
computer programming can be directly linked to scientific inquiry and
engineering design in the material world. Figure 2 provides an example.
This work is supported by the NSF under grant number 1721054.
Any opinions, findings, and conclusions or recommendations expressed in
this paper, however, are those of the author(s) and do not necessarily
reflect the views of the NSF.
1 comment:
iot lighting systems
Businesses greatly embrace smart lighting systems to become more energy-efficient and provide people with well-lit and secured living spaces. With IoT smart lighting, buildings can have smart connections with enhanced security while lowering the financial and environmental expenses of energy production. According to recent studies, lighting poorly lit areas can help reduce crimes to 39 percent. For instance, adequately lighting on low-traffic streets, campuses, parks, and parking lots can reduce crime and increase people’s safety.
iot lighting solutions
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