Module 4: Bring Your Own Device
The term
Bring Your Own Device (BYOD) refers to the practice of people “bringing their
own laptops, tablets, smartphones, or other mobile devices with them to a
learning or work environment” (Johnson, Adams, Becker, Estrada, & Freeman, 2016,
p. 36). Educational institutions have observed the increasing
tendency of students and teachers to bring their own personal mobile devices to
enhance learning. The BYOD initiative in schools addresses this reality
(Afreen, 2014).
A key
argument supporting BYOD programs in schools is that they effectively utlilise
available resources. Schuck, Aubusson, Kearney,
& Burden (2010) state that, given the
prevalence of mobile devices, it is important that educators acknowledge their
affordances in education in order to benefit from students’ current use of
them. Students are already familiar with the operation of their own devices and
so, by saving the time normally required to teach students how to use different
types of technology, tasks can be accomplished with greater ease and efficiency
(Benham, Carvalho & Cassens, 2014). Furthermore, students have a sense of
ownership of their devices, shifting an authority-based learning model to one
that is student-central, which has been shown to increase student engagement
and independence (Dunn, Richardson, Oprescu & McDonald, 2013).
Education
inside and outside of the classroom is becoming increasingly indistinguishable
with the incorporation of personal mobile devices in schools. BYOD makes
opportunistic learning possible, where students are able to take advantage of
otherwise unproductive periods of time, such as commuting, as an opportunity to
continue learning outside of the classroom (Hedin, 2014).
A benefit
commonly cited when discussing the BYOD initiative is the associated reduction
in costs to schools. Bradley and Holley (2011) claim that BYOD avoids the need
for schools to provide devices as well as training and support, which previous
mobile learning initiatives required. However, for the effective implementation
of a BYOD program, schools must be equipped to facilitate a flexible range of
hardware and software. Infrastructure needs to be put into place to be
able to support the use of a variety of devices. If student devices are connected to the institute network,
policies need to be in place to reduce risks associated with schools exposing
their network to threats like unauthorised access, malware and viruses (Afreen,
2014). In addition to this, schools generally subscribe to various software and
applications for teaching which often requires licensing from IT industries.
These licenses would need to extended to include personal devices (Afreen,
2014). Therefore, although BYOD enables an immediate reduction in
cost to schools, funding needs to be put into infrastructures to ensure
long-term effectiveness of the program.
The BYOD
movement has also raised concerns in terms of the digital divide, where
students who aren’t capable of affording the latest technology are
disadvantaged. Although studies have indicated that the rate of smartphone
ownership among secondary students are over 90% (Brett, 2011), this isn’t
uniform across all schools or countries. Students need to be able to afford to use
these devices for their intended purpose and so costs associated with downloads
and messaging also needs to be taken into account (Brett, 2011).
References
Afreen, R.
(2014). Bring Your Own Device (BYOD) in Higher Education: Opportunities and Challenges. International
Journal of Emerging Trends and Technology in Computer Science, 3(1), pp.
233-236. Retrived from https://www.researchgate.net/profile/Rahat_Siddiqui/
publication/261136229_Bring_Your_Own_Device_BYOD_in_Higher_Education_Opportunities_and_Challenges/links/54e2dc520cf296663797c13d.pdf
Benham,
H., Carvalho, G., & Cassens, M. (2014). Student perceptions on the impact of mobile
technology in the classroom. Issues in Information Systems, 15(2),
pp. 141-150. Retrieved from http://iacis.org/iis/2014/101_iis_2014_141-150.pdf
Bradley, C., & Holley, D. (2011). Empirical research into students’
mobile phones and their use for learning. International Journal of
Mobile and Blended Learning, 3(4), pp. 38–53. doi:10.4018/jmbl.2011100103.
Brett, P. (2011). Students’
experiences and engagement with SMS for learning in higher education. Innovations
in Education and Teaching International, 48(2), pp. 137–147. Retrieved from
http://www-tandfonline-com.ezproxy.csu.edu.au/doi/abs/10.1080/14703297.2011.564008
Dunn, P.,
Richardson, A., Oprescu, F., & McDonald, C. (2013). Mobile-phone-based
classroom response systems: Students' perceptions of engagement and learning in
a large undergraduate course. International Journal Of Mathematical
Education In Science And Technology, 44(8), pp. 1160-1174. Retrieved from
http://www-tandfonline-com.ezproxy.csu.edu.au/doi/abs/10.1080/
0020739X.2012.756548
Hedin, B.
(2014). Exploring opportunistic use of mobile devices for
studying in higher education. (Doctrol dissertation). Retrieved from
http://kth.diva-portal.org/smash/record.jsf?pid=
diva2%3A742758&dswid=-814#sthash.yv9NItrl.dpbs
Johnson,
L., Adams Becker, S., Estrada, V., & Freeman, A. (2015). NMC
Horizon Report: 2015 Higher Education Edition. Austin, Texas: The New Media
Consortium.
Schuck, S., Aubusson, P., Kearney, M., & Burden, K. (2010, March
19-21). Mobagogy – Mobile learning for a higher education community. In Proceedings
of the IADIS Mobile Learning Conference. Retrieved from
https://opus.lib.uts.edu.au/bitstream/10453/16630/1/2010001447.pdf
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