Visser 2014
Visser 2014
Journal of Research on
Technology in Education
Publication details, including instructions for
authors and subscription information:
http://www.tandfonline.com/loi/ujrt20
#TwitterforTeachers: The
Implications of Twitter as a
Self-Directed Professional
Development Tool for K–12
Teachers
a b
Ryan D. Visser , Lea Calvert Evering & David E.
a
Barrett
a
Clemson University
b
Seneca Middle School, Oconee County, South
Carolina
Published online: 13 Aug 2014.
To cite this article: Ryan D. Visser, Lea Calvert Evering & David E. Barrett (2014)
#TwitterforTeachers: The Implications of Twitter as a Self-Directed Professional
Development Tool for K–12 Teachers, Journal of Research on Technology in Education,
46:4, 396-413, DOI: 10.1080/15391523.2014.925694
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#TwitterforTeachers: The Implications of Twitter as a Self-
Directed Professional Development Tool for K–12 Teachers
JRTE | Vol. 46, No. 4, pp. 396–413 | Ó2014 ISTE | iste.org/jrte
Ryan D. Visser
Clemson University
David E. Barrett
Clemson University
Abstract
This mixed-methods study explores how K–12 teachers use Twitter. An
online survey was disseminated via Twitter to gauge their usage of, access
to, and perceptions of Twitter. The results indicated that teachers highly
value Twitter as a means of self-directed professional development.
Respondents who reported using Twitter multiple times a day were more
likely to use it for professional purposes than personal ones. Chief among
the reported perceived benefits were professional development and
meaningful relationships that teachers formed with other teachers who use
Twitter. Implications for practice, including the ability for teachers to seek
professional development for their specific needs, are discussed. (Keywords:
Twitter, social media, connected educators, personal learning networks
(PLNs))
S
ocial networks contain information and resources that can be used by
educators to develop their professional practice (Brown, Vissa, & Moss-
grove, 2012; Hanraets, Hulsebosch, & de Laat, 2011). Many teachers are
creating and participating in expansive social networks called personal learn-
ing networks. A personal learning network (PLN) has been defined as a “sys-
tem of interpersonal connections and resources” that can be used for informal
learning, collaboration, and exchanging knowledge and ideas (Trust, 2012, p.
133). PLNs are created predominantly within online environments such as
education-focused blogs, wikis, and podcasts, as well as through social media
sites like Edmodo, Facebook, and Twitter.
PLNs have recently emerged as a popular alternative to conventional models
of professional development (PD), which have “failed in delivering meaningful
Despite the facts that this teacher taught in a public school, was over 21 years
of age, and had her Facebook page set to private, she was still asked to resign
her position. In addition to public and private boundaries, there also exist
concerns that social network sites may blur the lines between the personal
and professional relationships between students and teachers (Barrett, Casey,
Visser, & Headley, 2012; Preston, 2011).
These and other concerns stemming from social media misuse, along
with the laws that require schools to protect students, have steered many
school districts toward the implementation of acceptable use policies and
Internet filtering systems. These strategies often restrict access to social
media sites during school hours for students and educators alike, and rec-
ommend against or prohibit teacher–student interaction within these sites
(Council of the Ontario College of Teachers, 2011; Dunn & Derthick, 2013;
Flaherty, 2013).
Despite concerns that Twitter can be frivolous, superficial, or danger-
ous, another perspective exists—one that considers Twitter to be a tool
for meaningful communication, sharing, and collaboration. This perspec-
tive is especially held within the field of education, where one can find
enormous amounts of Twitter-related literature. Hosts of education web-
sites, blogs, and practitioner journals present articles, testimonials, and
tutorials about how and why teachers should integrate Twitter into their
professional practice. Although the amount of anecdotal and practitioner-
based literature is significant, scholarly literature on Twitter, especially
within K–12 education, is still relatively scarce. Calls for research have
been made, however, in hopes that educators can better understand Twit-
ter’s place within the profession and “how participants understand their
experiences and place within the Twitter community and beyond”
(Greenhow & Gleason, 2012, p. 473).
In this exploratory study, we attempt to address the need for further
research by seeking to understand how teachers are using Twitter and the
perceived benefits for doing so. Specifically, the research questions that we
asked are as follows:
Method
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A triangulation mixed methods study (Creswell & Plano Clark, 2007) was
used to converge both quantitative and qualitative data collected in the study.
Sampling of respondents was conducted using chain-referral sampling meth-
odology (see Participants section). Closed-ended, quantitative survey items
were used to identify the various characteristics of teachers using Twitter,
along with how they report using it. Concurrently, qualitative, open-ended
survey questions were included to allow participants to further describe what
they perceive to be the benefits of using Twitter. The qualitative results were
analyzed and then interpreted in conjunction with the quantitative results in
order to deepen and enrich our understanding of how Twitter might provide
professional benefits to those teachers who use it.
Instrument
The researchers created an online survey that originally consisted of 40 items,
with 31 items being demographic-based or closed-ended in nature (e.g.,
Choose the statement that best describes the frequency with which you use
Twitter for professional purposes), and nine items that were open ended (e.g.,
Describe some of the best things that you’ve experienced from being on
Twitter). Prior to the survey’s launch, it was piloted with 10 educators who
provided constructive feedback. On the basis of that, the survey was reduced
to 32 items: 25 closed-ended and 7 open-ended items.
Participants
Our target population was the constituency of educators on Twitter; however,
due to the relatively low percentage of educators who are actually on Twitter,
the ability to gain face-to-face access to this population is limited. Further, the
researchers were unable to depend upon local schools and districts having
enough teachers who use Twitter to provide access to a representative sample
of Twitter users. In fact, the first author met with 64 teachers to discuss the
study and found that only two used Twitter. For this reason, we decided to
use chain-referral (also called snowball) sampling (Biernacki & Waldorf,
1981). The chain-referral sampling method is particularly appropriate when
the target population has “low visibility”: that is, the population is defined by
behaviors that are primarily personal in nature so that location of a sample
using probability sampling would be problematic (Biernacki & Waldorf, 1981,
p. 144).
In this study, we used Twitter itself for the study’s promotion and recruit-
ment. The researchers, whose combined Twitter followers totaled only 250,
initially tweeted a request for educators to participate in the survey. Several
influential educators, some of whose followers exceeded 25,000, helped our
recruitment by retweeting (or reposting) our original tweet to their followers.
This sampling method resulted in a sample of 542 respondents. It should be
noted that under certain conditions, chain-referral sampling can be suscepti-
ble to a “verifiability” problem, in that the researcher may have difficulty
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Analyses
The primary goal of this study was to explore how K–12 teachers use Twitter,
and as a result, the researchers extracted and used the data from only the par-
ticipants identifying themselves as a teacher in either an elementary, middle,
or high school. The total number of these teachers was 324. The data from
this subsample are what will be presented from this point forward.
Quantitative analysis. Descriptive analyses were conducted to identify the
characteristics of the sample with regard to experience with technology and
patterns of Twitter usage. Cross-tabulations were then conducted to examine
relationships between participant demographic and experiential characteris-
tics and their patterns of Twitter usage. In these analyses, two measures of
Twitter usage were directly relevant to the research questions and were, there-
fore, of particular interest. The first was frequency of use for professional rea-
sons. Original data on this variable were recoded into two categories: at least
daily use for professional purposes, and less than daily use for professional
purposes. The second key variable was frequency of use for personal reasons.
Original data were again recoded into two categories: at least daily use for
personal reasons, and less than daily use for personal reasons. Cross-tabula-
tions were conducted and accompanied by chi-square analyses to test for the
significance of the relationships between these variables and selected teacher
and workplace characteristics.
Qualitative analysis. The researchers analyzed the open-ended survey
question, Describe some of the best things that you’ve learned/experienced as a
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Table 1. Summary of Superordinate Themes and Subthemes (With Number of Meaning Units)
Results
The authors’ research questions were addressed in accordance with the
results gleaned from the quantitative data analysis, the qualitative data
analysis, and, in mixed-methods fashion, the combining thereof. The
quantitative findings utilized demographic and descriptive data and
analyses, while the qualitative findings stemmed from the analysis of
responses to the aforementioned, open-ended prompt. This analysis
revealed four superordinate clusters with embedded meaning units, as can
be seen in Table 1.
No restrictions 55%
Restrictions exist, and I do not use it 13%
Restrictions exist, but I use it anyway 20%
Unsure if there are restrictions or not 12%
account, 90% claimed that their accounts were set to public, thus allowing
them to connect more easily with others. This claim is supported and exem-
plified by the “communities of practice” and “networking” subthemes
found in the qualitative analysis, which, respectively contain statements
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and classroom practice themes. Each illustrates how respondents use Twitter
to personalize their professional development by self-selecting resources and
opportunities via tweets and Twitter chats, as exemplified by the statement, “I
don’t wait for PD to come via my school district, I can seek it out via Twitter.”
Two of the subthemes within the superordinate professional develop-
ment theme include “conference supplements” and “blogging matters,”
and each demonstrates specific ways that respondents acquire PD. The
former shows that traditional barriers to conference attendance (e.g., time
and monetary constraints) can be overcome via virtual attendance
through Twitter. Two examples are as follows: “Being able to follow a
national conference via twitter was amazing. It was almost like being
there”; and “I like to take notes at conferences using Twitter. . . . Doing it
this way can start conversations with people not at the conference.” The
“blogging matters” subtheme highlights one of the most common ways
tuchat with my students and scientists across the world has been amazing. It’s
been the best to have them get to connect and ask questions and debate with
‘real live scientists’ as we learn about something.”
Because respondents reported different frequencies with which they use
Twitter for professional purposes, the researchers examined several personal
and professional variables to see if they might be related to the frequency of
professional use. These variables were gender, school workplace, workplace
restrictions, and technology proficiency. Cross-tabulations were conducted,
accompanied by chi-square analyses, to test for the significance of the rela-
tionships between variables. Two variables were found to have significant
relationships with professional use of Twitter: workplace restrictions (present,
absent) and technology proficiency (average or below average, above average,
advanced).
As can be seen by the frequencies cross tabulated in Table 3, there is a sig-
nificant relationship between the workplace restrictions of Twitter and the
professional use of Twitter, x2 (1, N D 284) D 6.08, p D .014. Educators who
work in schools that restrict Twitter more frequently use it for professional
purposes than their peers who work in schools where Twitter is not restricted.
Table 3. Relationship Between Frequency of Professional Use and (1) Workplace Restrictions, and (2) Technol-
ogy Proficiency
Note. The n for the “workplace restrictions” item was reduced after the researchers omitted cases that contained I don’t
know if there are Twitter restrictions at my school responses.
*p < .05.
Interaction? If So, How, and Are There Particular Variables That May Have an
Influence on the Frequency With Which Teachers Use Twitter to Interact With
Students?
Our findings demonstrate that teachers do not frequently interact with stu-
dents. Participants who reported using Twitter to interact with students rep-
resented only 20% (n D 65) of the sample; the remaining 80% reported no
interaction. The highest reported use of Twitter for student interaction was
from high school teachers at 71%, followed by middle school teachers at 20%
and then elementary teachers at 9% (see Table 4). In fact, using the same
cross-tabulation procedures described in the previous section, the researchers
analyzed relationships and found a significant relationship between student
interaction and school workplace (Elem, MS, HS), x2 (2, N D 323) D 18.50,
p < .001. Results are shown in Table 4.
To investigate further the relationship between school workplace and stu-
dent interaction, the researchers again conducted two one-degree-of-freedom
follow-up contrasts and found a significant difference between elementary
teachers and teachers in middle and high schools, with elementary school
teachers reporting interacting with students on Twitter significantly less often
than middle and high school teachers, x2 (1, N D 323) D 13.32, p < .001.
Additionally, the researchers found significant differences between middle
school and high school teachers, with middle school teachers interacting with
students on Twitter significantly less than teachers in high school settings,
x2 (1, N D 235) D 4.42, p < .035.
The cross-tabulation and chi-square analyses yielded another significant
relationship, that between workplace restrictions of Twitter and student inter-
action, x2 (1, N D 284) D 4.61, p D .032 (see Table 4). Teachers who work in
schools that do not restrict Twitter interact with students (on Twitter) signifi-
cantly more than their counterparts who work in schools where Twitter is
restricted.
The quantitative finding of infrequent teacher–student interaction via
Twitter was also supported by our qualitative findings, which revealed only
one statement pertaining to student interaction: “[It is a] positive way to
Table 4. Relationship Between Student Interaction and (1) School Workplace, and (2) Workplace Restrictions
Student Interaction
Note. The n for the “workplace restrictions” item was reduced after the researchers omitted cases that contained I don’t
know (whether there are Twitter restrictions) responses.
*p < .05.
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connect with my students and hopefully their parents.” Put simply, teachers
reported using Twitter for their students rather than with their students.
Discussion
Key Findings
The present study examined patterns of use of Twitter among practicing
teachers. The major quantitative findings were that most Twitter users
(more than 75%) have only used Twitter for 3 years or less, that more
than half of reported users see themselves as active participants (fre-
quently tweeting out their own messages), that Twitter use often occurs
in the school setting, and that professional use of Twitter is more com-
mon than personal use. It is significant also that most teachers in the
sample saw themselves as technologically proficient relative to the general
population. We found also that most teachers in our study did not use
Twitter for interactions with students; further, both the grade level at
which teachers worked and the presence or absence of workplace restric-
tions influenced the extent to which Twitter was used to interact with
students.
A major qualitative finding in this study contributing to the slight but
growing literature (Davis, 2011; Gerstein, 2011) is that teachers use Twitter
primarily for professional development and improved classroom practice.
Equally important findings are that the culture of this Twitter-based commu-
nity of teachers is welcoming and fosters collaboration and participation, and
that meaningful interpersonal relationships arise as a result of the friendly,
participatory culture of the community. The ability to participate in and con-
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connect and collaborate with teachers in similar situations. In fact, the poten-
tial of using social media tools, such as Twitter, for PD has been recognized
and promoted by the National Associations for Elementary and Secondary
School Principals. Recently, each organization has taken official positions that
encourage educators to use social media tools for PD (National Association of
Secondary School Principals [NASSP], 2012; Social Media as a Professional
Tool, 2011). As administrative approval of informal PD via social media
becomes more prevalent, teachers “will be more inclined to invest time in net-
worked learning activities” (Hanraets, Hulsebosch, & de Laat, 2011, p. 97).
In this study, the authors found that professional development through a PLN
seems to be the main reason that teachers use Twitter. It is important to
understand that these teachers are choosing to pursue this type of infor-
mal PD; it is not being required by their administration. They choose to
do so because, as opposed to conventional PD events, informal PD
affords teachers the autonomy to self-select the PD that can best improve
their knowledge, practice, and sense of purpose (see, e.g., Beach, 2012).
However, administrators remain reluctant to provide recertification or
renewal credit to teachers who are engaged in informal PD (Davis, 2011).
Prior to awarding this credit, administrators will need more empirical
evidence that suggests Twitter-based PD can lead to transformation of or
improved classroom practice. The authors therefore recommend that
researchers examine whether and how classroom practice is transformed
as a result of using Twitter to obtain PD, and how these changes com-
pare to the changes (if any) in the practice of teachers who rely on more
conventional PD. Future empirical studies should include not only natu-
ralistic comparison studies of the teaching behaviors of teachers who do
and do not use Twitter but also longitudinal studies to examine the
changes in teaching behavior and effectiveness that occur concurrently
with extended Twitter use.
The authors also suggest examining more closely the kinds of teachers who
are and who are not using Twitter. Regarding the former, findings from this
study suggest that teachers who reported an above average level of technology
proficiency frequently used Twitter for professional reasons. More research is
needed to examine whether or not Twitter is used, and how it is understood,
by teachers whose self-reported technological ability is average or below.
Regarding those who are not using Twitter, the present study’s findings sug-
gest that younger teachers (under 30) are not as well represented on Twitter
as more experienced teachers. Further research on young teachers may shed
light on whether or not they use or view social media differently than other
age groups, whether they feel too overwhelmed with their workload to engage
in PLN development, or whether their teacher preparation programs are
Acknowledgments
Thank you to all of the educators on Twitter who participated in this study and who continu-
ously strive to improve their craft.
Author Notes
Ryan D. Visser is a Clinical Faculty member in the Department of Teacher Education at Clemson
University. His research interests focus on multimedia learning and the impact of social media on
education. Please address correspondence regarding this article to Ryan Visser, Clemson University,
203 Tillman Hall, Clemson, SC 29634-0709, USA. E-mail: visser.ryan@gmail.com
Lea Calvert Evering is a sixth-grade English Language Arts teacher at Seneca Middle School in
Oconee County, South Carolina. Her research interests include digital and multimodal writing in
the K–8 classroom, as well as the implications of social media for professional development.
David E. Barrett is Alumni Distinguished Professor in the Department of Teacher Education at
Clemson University. His areas of specialization are adolescent development and research methods
and statistics.
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Manuscript received June 3, 2013 l Initial decision September 26, 2013 l Revised manuscript accepted November 12, 2013