7 BENEFITS AND ANTICIPATED
OUTCOMES
The outcomes of this project will inform future
deployment of Twitter as a learning tool in the
mobile classroom environment.
By requiring use of technologies, students adopt
the technology, step away from their routine, and
learn something new; even if it makes them
uncomfortable. Using global class learning tools,
e.g. Twitter, web-based videos, and a CMS, is
certainly nothing new but how they are used and
blended together pushes the students to bring ‘real
life’ tools into their world of learning.
With the right kind of assignments and the use of
Twitter, ‘just-in-time’ learning could occur daily –
multiple times. This extends the classroom into real-
life, making the didactic content practical. Students
are exposed to real-life situations and real-time
situations while connected to their personal learning
network. Thus, there is greater likelihood that the
students can apply what they learn and retain that
learning for future use.
Connecting the students remotely and having
just-in-time interaction might establish a personal
learning network (PLN) that would continue to
function as an established network after the course is
completed. A PLN could become as popular as
social support networks and professional networks.
The novelty of the hashtag could reveal subject
matter themes throughout the term that could then be
used to incorporate future course content. It can also
be used to link conversations together and extend the
conversation into the public world.
The 140 character restriction used by Twitter
will require the students to become more succinct, if
not more creative, in what they share; that is, they
will have to get the point across quickly. By
creating ‘blasts of information’, students are
ultimately chunking what they have to say. This
provides the link to Miller’s 1956 Chunking Theory.
The human brain can only retain a certain quantity
of information in one short instance. Miller’s
findings demonstrated that the human brain is
capable of retaining 7 numbers, plus or minus two,
in its working memory. Receiving a blast of limited
information within 140 characters might have the
same retention properties as 7, plus or minus 2
numbers. If this is the case, the modes of delivering
academic lecture material will change worldwide.
8 CONCLUSIONS
There is some evidence of Twitter being used in the
classroom but not by many (Lin et al., 2013, Seaman
and Tinti-Kane, 2013). Over 7,000 college and
university faculty completed an online survey on
using social media in the classroom. A little over 9%
reported using Twitter professionally and 60% of
those users were from the applied sciences discipline
(Seaman and Tinti-Kane, 2013). The faculty
claimed concern for personal privacy risks of
students as their reason for not utilizing social media
such as Twitter. To address this concern in advance,
the author is utilizing services from a third party
software company with a mechanism to protect
personal tweets and tweet to a private group.
There is a plethora of research and knowledge
about human learning styles, learning mechanisms,
memory tricks and instructional methods. This
paper presented numerous discoveries around
contextual learning and memory capacity. Twitter
presently appears to satisfy multiple learning styles
and deliver a succinct message quickly.
Significant time was spent constructing solid
scaffolding for methodically deploying and using
Twitter into an online course managed through a
CMS. The next phase of this study will use this
model design and introduce Twitter as a learning
mechanism in a more analytical setting; an
introduction to statistics course. Findings from this
additional phasewill be consulted to improve Twitter
utilization for the faculty as well as the students.
REFERENCES
Cramp, A., Lamond, C., Coleyshaw, L. & Beck, S. 2012.
Empowering or Disabling? Emotional Reactions to
Assessment amongst Part-Time Adult Students.
Teaching in Higher Education, 17, 509-521.
Davison, S. 2009. A Picture is Worth a Thousand Words.
Science and Children, 46, 36-39.
Fritsch, N. & Kuchinke, l. 2013. Acquired Affective
Associations Induce Emotion Effects in Word
Recognition: An ERP Stud. Brain and Language, 124,
75-83.
Krauss, J. 2012. Inforgraphics: More than Words Can Say.
Learning & Leading with Technology, 39, 10-14.
Lin, M.-F., Hoffman, e. & Borengasser, c. 2013. Is Social
Media Too Social for Class? A Case Study of Twitter
Use. TechTrends, 57, 39-45.
Loftus, G. R., Johnson, C. A. & Shimamura, A. P. 1985.
How much is an icon worth? Journal of Experimental
Psychology: Human Perception and Performance, 11,
1-13.
WEBIST2014-InternationalConferenceonWebInformationSystemsandTechnologies
236