The Internet of Things is happening all around us,
and it has been for some time now. It is a movement to connect physical things
to the Internet and to each other through wireless technologies to form a
seamless, coherent experience (
http://www.entrepreneurial-insights.com/internet-of-things-future-data/).
The future of the Internet of Things raises questions regarding big data and
what we do with it. There is much discussion about how everything connects
through wireless technology, but what happens with all the data that gets
collected? Is there a place for the Internet of Things in higher education? And
if so, what?
According to a white paper written by software
company Oracle (“This paper provides an overview for the adoption of Big Data
and analytic capabilities as part of a ‘next-generation’ architecture that can
meet the needs of higher education institutions”) on enterprise architecture,
“Institutions have traditionally measured students by grades and attendance.
Students facing severe academic challenges are often recognized too late. Many
institutions are now starting to look at Big Data solutions to better
understand student sentiment (gathered from social media) and other aspects of
the campus life experience. For example, sensors in buildings enable tracking
of students and the time that they spend in the classroom, in their dormitory,
in the cafeteria, or in the library. The effectiveness of their instructor can
be partly determined by analysis of student sentiment. Problems can be detected
and corrected earlier, with less dire consequences for all involved.” (For the
complete report, click
here.)
Although written and researched by a for-profit company, the implication of the
direction of one of the largest data companies is staggering.
So does the Internet of Things begin to quantify
our students? Can we use the examples of a quantified self to increase student
performance and completion? What is quantified self and what data are used to
quantify one’s self? Currently the trend in quantified self is using personal
data, such as fitness trackers, calorie counters, etc., to track one’s fitness
and health. According to the Association of College and Research Libraries
(ACRL), “Quantified Self describes the phenomenon of consumers being able to
closely track data that is relevant to their daily activities through the use
of technology.” It is enabled by wearable technology and the mobile web. This
is a notable trend because it gives us a glimpse of what our daily lives will
be like in the near future, in which many of the emerging technologies that we
are just getting used to – the mobile, big data, wearable technology – will
come together for a seamless consumer experience. (
Full
article)
Only when the Internet of Things, quantified self,
and big data come together in a student profile can we begin to understand how
much impact the data can have on higher education. In the near future, we will
have to address how these three come together to better aid our students in
study habits, health habits, and academic planning to truly enhance the entire
student experience. The future beyond big data will be the true quantified self
through learning experiences, and competency-based education through
just-in-time learning and creating a fully quantified self that will serve as
an e-portfolio of a person’s true qualifications and ability. The future of
higher education will be credentialing competency-based education, experiential
learning, and lifelong learning. Self-tracking websites such as LinkedIn (
www.linkedin.com) give us a peek into the
future and the quantified self.
Do you have any comments or questions about the
Internet of Things and the quantified self? Hawk Vision would love to hear from
you! Share your thoughts with us at
hawkvision@mvcc.edu.