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Modeling #Twitter Use:
Do Students Notice?
Dr. Vanessa Dennen, Fabrizio Fornara
Florida State University
June 18, 2013
University of Wisconsin – Madison
Why Twitter?
 Potential to support collaborative interactions and to
foster both community building and knowledge sharing
(Ebner et al., 2010; Junco, Heibergert & Loken, 2011; Lee &
McLoughlin, 2010; Schroeder, Minocha & Schneider, 2010).
 Direct experience building and interacting with a
professional learning network.
We focused on the dynamics of students’ activity on Twitter
in an educational setting and on the factors that influence
this activity.
 Purpose: To observe whether the Twitter activity of
preservice teachers differs in the presence of an
instructor model.
 Hypothesis: An ongoing instructor presence that model
appropriate tweets might encourage desired knowledge
sharing and community building via Twitter within and
across class sections.
The Study
Activity
 Activity: Semester-long Twitter assignment. Students were
required to regularly post entries on Twitter. The content of
posts was not constrained.
4
Group Class
Sections
Follow
Classmates
Use
common
hashtag
Follow
instructor
model
Control 3 X X
Experiment 3 X X X
Methods
 Participants: six sections of approximately twenty students
each, three sections per condition (N=117).
 Data collection: Students’ tweets, surveys.
 Data analysis: Coding categories were emergent in three
main categories:
 Course related
 School related
 Non-school related
5
Findings: Features
 Similar number of tweets
and use of hashtags
 Overall, few tweets with a
link. Students were not
heavily interested in sharing
resources.
 Control group: used the
reply feature
more, communicated more
with peers.
 Experiment group: more
likely to retweet, especially
the instructor’s entries.
 Experiment group: More
likely to indicate Twitter a
valuable tool for interacting
with others (survey)
6
Findings: Content
 Most of the tweets are
comments about
assignments.
 Most of the tweets were
composed the day before
class or during class.
 The predominant attitude
toward the class and
homework was neutral, with
a tendency to negative
comments for the control
group.
 The experiment group
tweeted more about
educational technology
than control group.
 The content of the tweets
suggests that students were
aware of the presence or
absence of an instructor.
7
Discussion
 The presence of a co-tweeting instructor influences how
students use Twitter, in terms of both the content of tweets
and students’ likelihood to use certain features.
 One unintended effect was the student’s orientation
toward the instructor in the experiment condition.
 In the absence of an active instructor students more freely
shared their thoughts about the class.
8
Recommendations
 Establish desired outcomes and actively and consistently
model the types of tweets and interactions that lead to
those outcomes.
 An ongoing, dynamic model provides students with a
continuous reminder of how to complete the activity.
 Adjust the instructor model to include interactions that
should explicitly connect two or more students.
9
Discussion Questions
 Can we further shape students’ behavior on Twitter to
foster both community building and knowledge sharing?
How?
 We want preservice teachers to build and interact with a
professional learning network. What further steps can we
take toward this direction? How far can we go?
10
Thanks!
Dr. Vanessa Dennen: vdennen@fsu.edu, @vdennen
Fabrizio Fornara: ff11@my.fsu.edu, @ffornara
June 18, 2013
University of Wisconsin – Madison
Codes + tweets
Code Example
Course related (CR) – Social / greetings Happy Halloween everyone!
CR – Educational Technology Looking forward to using Jing for the first time!
CR – Assignment – Commentary Completed the blog post
CR – Assignment – Promoting work Follow me on Wordpress! http://…
CR – Identity as a teacher Seriously considering becoming an art teacher at the elementary level
CR – Class – Positive attitude Ready for a little education to technology tomorrow. I love that class
CR – Class – Negative attitude First skill check done. That was painful
CR – Class – Neutral attitude Skill Check #1 officially done #holla
CR – Sharing resources (URL) http://… Hey guys, a cool teaching opportunity. Creative writing w/ 9-11
CR – Asking questions How do we find the prompts for the blog posts?
School Related (SR) - Sports Let’s go …!
SR – Other classes Getting ready for my next class today
SR – Campus life / studying Join the SFEA today! Includes personal liability insurance! http://…
Other Feeling better today! #notsickanymore
Content analysis codes with example of tweets
Features use
Summary of hashtag and feature use by students (S)
and instructor/researcher (I/R)
Course hashtag Other hashtags Reply Retweet URL
S I/R S I/R S I/R S I/R S I/R
Experiment (N=55) 505 68 98 0 14 11 92 3 14 43
% 19.4% 0% 2.8% 16.2% 18.2% 4.4% 2.8% 63.2%
Control (N=62) 534 14 93 0 35 3 74 0 15 5
% 17.4% 0% 6.5% 21.4% 13.8% 0% 2.8% 35.7%
Tweets content
Content analysis codes and corresponding number and
percentage of tweets posted by students of both conditions.
Experimental condition Control condition
Number % Number %
Course related (CR) – Social / greetings 15 3.6% 18 3.9%
CR – Educational Technology 36 8.7% 21 4.6%
CR – Assignment – Commentary 161 39.0% 187 40.6%
CR – Assignment – Promoting work 11 2.7% 6 1.3%
CR – Identity as a teacher 6 1.5% 2 0.4%
CR – Class – Positive attitude 19 4.6% 32 6.9%
CR – Class – Negative attitude 8 1.9% 25 5.4%
CR – Class – Neutral attitude 43 10.4% 106 23.0%
CR – Sharing resources (URL) 12 2.9% 10 2.2%
CR – Asking questions 35 8.5% 18 3.9%
School Related (SR) - Sports 17 4.1% 6 1.3%
SR – Other classes 9 2.2% 1 0.2%
SR – Campus life / studying 9 2.2% 9 2.0%
Other 32 7.7% 19 4.1%
Total 413 460

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CSCL 2013: Modeling #Twitter Use: Do Preservice Teachers Notice?

  • 1. Modeling #Twitter Use: Do Students Notice? Dr. Vanessa Dennen, Fabrizio Fornara Florida State University June 18, 2013 University of Wisconsin – Madison
  • 2. Why Twitter?  Potential to support collaborative interactions and to foster both community building and knowledge sharing (Ebner et al., 2010; Junco, Heibergert & Loken, 2011; Lee & McLoughlin, 2010; Schroeder, Minocha & Schneider, 2010).  Direct experience building and interacting with a professional learning network. We focused on the dynamics of students’ activity on Twitter in an educational setting and on the factors that influence this activity.
  • 3.  Purpose: To observe whether the Twitter activity of preservice teachers differs in the presence of an instructor model.  Hypothesis: An ongoing instructor presence that model appropriate tweets might encourage desired knowledge sharing and community building via Twitter within and across class sections. The Study
  • 4. Activity  Activity: Semester-long Twitter assignment. Students were required to regularly post entries on Twitter. The content of posts was not constrained. 4 Group Class Sections Follow Classmates Use common hashtag Follow instructor model Control 3 X X Experiment 3 X X X
  • 5. Methods  Participants: six sections of approximately twenty students each, three sections per condition (N=117).  Data collection: Students’ tweets, surveys.  Data analysis: Coding categories were emergent in three main categories:  Course related  School related  Non-school related 5
  • 6. Findings: Features  Similar number of tweets and use of hashtags  Overall, few tweets with a link. Students were not heavily interested in sharing resources.  Control group: used the reply feature more, communicated more with peers.  Experiment group: more likely to retweet, especially the instructor’s entries.  Experiment group: More likely to indicate Twitter a valuable tool for interacting with others (survey) 6
  • 7. Findings: Content  Most of the tweets are comments about assignments.  Most of the tweets were composed the day before class or during class.  The predominant attitude toward the class and homework was neutral, with a tendency to negative comments for the control group.  The experiment group tweeted more about educational technology than control group.  The content of the tweets suggests that students were aware of the presence or absence of an instructor. 7
  • 8. Discussion  The presence of a co-tweeting instructor influences how students use Twitter, in terms of both the content of tweets and students’ likelihood to use certain features.  One unintended effect was the student’s orientation toward the instructor in the experiment condition.  In the absence of an active instructor students more freely shared their thoughts about the class. 8
  • 9. Recommendations  Establish desired outcomes and actively and consistently model the types of tweets and interactions that lead to those outcomes.  An ongoing, dynamic model provides students with a continuous reminder of how to complete the activity.  Adjust the instructor model to include interactions that should explicitly connect two or more students. 9
  • 10. Discussion Questions  Can we further shape students’ behavior on Twitter to foster both community building and knowledge sharing? How?  We want preservice teachers to build and interact with a professional learning network. What further steps can we take toward this direction? How far can we go? 10
  • 11. Thanks! Dr. Vanessa Dennen: vdennen@fsu.edu, @vdennen Fabrizio Fornara: ff11@my.fsu.edu, @ffornara June 18, 2013 University of Wisconsin – Madison
  • 12. Codes + tweets Code Example Course related (CR) – Social / greetings Happy Halloween everyone! CR – Educational Technology Looking forward to using Jing for the first time! CR – Assignment – Commentary Completed the blog post CR – Assignment – Promoting work Follow me on Wordpress! http://… CR – Identity as a teacher Seriously considering becoming an art teacher at the elementary level CR – Class – Positive attitude Ready for a little education to technology tomorrow. I love that class CR – Class – Negative attitude First skill check done. That was painful CR – Class – Neutral attitude Skill Check #1 officially done #holla CR – Sharing resources (URL) http://… Hey guys, a cool teaching opportunity. Creative writing w/ 9-11 CR – Asking questions How do we find the prompts for the blog posts? School Related (SR) - Sports Let’s go …! SR – Other classes Getting ready for my next class today SR – Campus life / studying Join the SFEA today! Includes personal liability insurance! http://… Other Feeling better today! #notsickanymore Content analysis codes with example of tweets
  • 13. Features use Summary of hashtag and feature use by students (S) and instructor/researcher (I/R) Course hashtag Other hashtags Reply Retweet URL S I/R S I/R S I/R S I/R S I/R Experiment (N=55) 505 68 98 0 14 11 92 3 14 43 % 19.4% 0% 2.8% 16.2% 18.2% 4.4% 2.8% 63.2% Control (N=62) 534 14 93 0 35 3 74 0 15 5 % 17.4% 0% 6.5% 21.4% 13.8% 0% 2.8% 35.7%
  • 14. Tweets content Content analysis codes and corresponding number and percentage of tweets posted by students of both conditions. Experimental condition Control condition Number % Number % Course related (CR) – Social / greetings 15 3.6% 18 3.9% CR – Educational Technology 36 8.7% 21 4.6% CR – Assignment – Commentary 161 39.0% 187 40.6% CR – Assignment – Promoting work 11 2.7% 6 1.3% CR – Identity as a teacher 6 1.5% 2 0.4% CR – Class – Positive attitude 19 4.6% 32 6.9% CR – Class – Negative attitude 8 1.9% 25 5.4% CR – Class – Neutral attitude 43 10.4% 106 23.0% CR – Sharing resources (URL) 12 2.9% 10 2.2% CR – Asking questions 35 8.5% 18 3.9% School Related (SR) - Sports 17 4.1% 6 1.3% SR – Other classes 9 2.2% 1 0.2% SR – Campus life / studying 9 2.2% 9 2.0% Other 32 7.7% 19 4.1% Total 413 460