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Hot Topics in HPT: Social Media Learning
Jeannette Novakovich
The purpose of this paper is to explore, summarize, and present current socialmedia learning research and trends. I searched the following databases: ERIC,
PROQUEST, and ACADEMIC SEARCH COMPLETE.
Keywords: social media, learning, theory, social learning theory, higher education,informal learning, social network spaces, web 2.0, twitter, collaboration, social
learning networks, information and communication technologies, connectivism, MOOC,
blogs, wikis,
Beginning the search
I began my search using the keywords of my general topic: social media learning.
After I culled through the rather extensive results, I chose ten to twenty articles to
peruse. Next, I returned to the library databases and narrowed my search by adding
additional keywords that I found listed at the end of the abstracts of relevant
articles.
First, I selected a number of recent articles for the sole purpose of entertaining or
enlightening students at the Cracker Barrel presentation. Next, I looked for research
that pertained to social media tools that I currently use or could possibly use in my
classes to enhance both formal and informal learning. My ultimate goal is to
integrate social media learning more effectively into my course designs.
After considering hundreds of articles in the library databases, I selected close to
100 articles to download and sifted through them for about two months, narrowing
my results to 25 articles. I strived to select reputable journals; however, I was willing
to look at some of the more off-beat online creative commons licensed journals
like the International Review of Research in Open Distance Learning. The journal is
polished, but the articles lack, for the most part, strong empirical evidence.
Finding the keepers
Prior to writing the abstracts, I went through the final pool of articles, searching for
a statement of purpose and research questions. Not finding this information was a
red flag and caused me to dismiss a number of articles. After selecting and writing
abstracts of seven of the articles, I returned to the library databases to follow up
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on new information and issues in training that I discovered through reading the
articles. One issue that I discovered was the effect of social media learning on the
instructors role in a decentralized active learning environment. In addition, I
discovered that assessment was also becoming an issue, measuring informal learning
behaviors is complicated. And, finally, a new learning theory, connectivist theory,
cropped up in a number of the literature reviews as well as reference to massiveopen online courses (MOOCs). I felt that this perspective and practice might spark
interest during the cracker barrel; however, I wanted to make sure that I was
informed as to its relevance and credibility, which is indeed rather contentious.
Tying research to professional interests
I have a strong interest in microblogging. My students are employing it in my
professional writing class, and I have observed a number of spontaneous uses for
this practice. For example, one student, when giving a presentation recently, tweetedout the URL of a website that she wanted the students to examine. We all clicked
on the link and arrived about the same time without hassles; this was possible
because our open course website contains a twitter feed with a number of useful
hash tags. When culling through the research, I was curious about what other
instructors were doing and what barriers to performance they were encountering.
Solidifying the final criteria for selection
Currency and relevancy Sound research methods Peer reviewed and professional journals Entertainment and/or practical value of content
Main results of my library database searches:
Database Keywords Number of
articles found
ERIC Social media, learning 3 394
ERIC Social media, informal learning 88
Academic Search
Complete
Social media learning, informal 14 984
Academic Search
Complete
Social media, network learning
and higher education
132
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* This table is not complete. A number of searches were made prior to the postingof the assignment sheet.
Academic Search
Complete
Social media, informal learning,
and social learning
3
Proquest Social media learning 123 435
Proquest Social learning theory 2 883
Proquest Education connectivism 45
ERIC connectivism 16
Proquest Education MOOC 4
Proquest Education twitter, social media learning 886
ERIC Twitter, social media learning 13
Proquest Education web 2.0, social media learning,
and collaboration
2778
Academic search
complete
Twitter, social media learning 3 (all terrible)
Proquest Education Blogs, assessment, and audience 503
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Allen, M., Naughton, J., & Ellis, R. (2011). Social Learning. T+D , 65 (8), 50-55.The purpose of this article was to present the updated ASTD competency model, a
model which integrates social learning and it effects on professional development
and training in the workplace. The authors asked the following questions
How should instructional designers adapt to social media learning ecologies? What social media learning competencies do instructional designers need?
Literature review: The purpose of the literature review was to cover the key pointsin current ASTD literature regarding the current use of social media in the
workplace. Social learning occurs informally when professional development or
training takes place on social media networks. Social media itself can be used for
both formal and informal learning.
Methodology: The ASTD commissioned a mixed methods study to update the ASTD
Competency Model. The study combined focus groups with leaders in the field andsurveys from 1069 survey respondents that were ASTD members. The collected data
from the focus groups was then coded into themes.
Results and Discussion: The three themes that emerged were focused on howsocial media could be used for collaboration in terms of exchanging information and
as a communication channel, ways to develop social media fluency, and how to
overcome organizational objectives to its use. Learning professionals need to
develop a high level of fluency in terms of the use of social media tools. Resistance
to social media occurs because it contains the term social, which translates to
managers as being wasted time and resources. Other concerns are security andprivacy issues and organizational culture.
Social learning is now a key component of ASTD Competency Model and shares a
spot with managing organizational knowledge. Suggested future research would
involve testing instructional designs that facilitate informal learning through social
media to determine what the most effective industry practices. The results showed
that 80% of the respondents believed that social media should be used more
frequently, and 83% of the respondents felt informal learning enhances employee
and organizational learning.
The implications of this study are that instructional designers need to develop social
media fluency and be prepared to overcome organizational objections to its use.
The limitations of this study are that it is a preliminary type of research exploring a
description of the current scene rather than a quantitative research method that
reveals the effective practices. Future research should explore ways to assess
informal learning.
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Heibergert & E. Loken (2011). The effect of Twitter on college studentengagement and grades. Journal of Computer Assisted Learning 27, 119-132.doi:10.1111/j.1365-2729.2010.00387.x
The purpose of the study was to determine if the use of Twitter to meet
educational goals impacted learning outcomes in the form of grades and measuresof engagement. The research answered the following questions:
Does Twitter have an impact on student engagement? What impact does Twitter have on grades?
Literature review: The review of literature began with a broad sweep of socialmedias use to create active learners in the classroom and its incorporation into the
classroom. The authors then moved to learning theories of engagement. While a
number of studies indicate that technology use increases engagement, very few have
researched the effect of social media and its impact on student engagement.
However, the authors, in a previous study, did find a positive correlation betweenthe use of social media and increases in college student engagement (Heiberger
and Haper 2008).
Methodology: This quantitative study incorporated a convenience sample from amidwestern university, which consisted of a large nonrandomized sample of 7
sections of a one-credit hour yearlong course in order to conduct an experiment.
Sections were randomly assigned to a control group, which did not practice
microblogging, and an experimental group, which had Twitter incorporated into the
course outline. Students were provided a pretest and posttest; in addition, data from
Twitter was also collected. None of the students were familiar with Twitter and theexperimental group received one hour of training. The authors ran ANOVA factorial
tests on the data.
Results and Discussion: The results of the ANOVA factorial tests showed thatTwitter positively impacted student engagement and grades. Twitter increased
interactions between student and faculty, improved cooperation among students,
promoted active learning and provided prompt feedback. Although the results were
apparently positive, the authors questioned if the results had more to do with the
technology itself rather than the course design and its integration of technology.
The implications of the study indicate that microblogging is likely an effective
instructional tool. The limitations of the study are that the results showed it is
difficult to separate the tool, the technology, from the learning process. Future
studies should strive to segregate the tool, mimic the process, to discover the
process that impacted learning outcomes.
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Lampe, C., Wohn, D. Y., Vitak, J., Ellison, N. B., & Wash, R. (2011). Student useof facebook for organizing collaborative classroom activities. InternationalJournal of Computer-Supported Collaborative Learning, 6(3), 329-347.doi:10.1007/s11412-011-9115-y
The purpose of this study was to determine if a social network site, Facebook inparticular, was an effective learning tool to increase classroom engagement when
performing collaborative learning activities. The study addressed the following
questions:
How can Facebook be used as an informal learning tool help studentsengage in collaborative learning activities?
What are the factors, in terms of organizational and motivational behaviors,that might predict its successful use?
What types of collaborative activities occur on Facebook?Literature review: The review of literature first discussed the burgeoning use ofinformation and communication technologies or ICTs in the classroom and moved to
a more specific description of using social network sites (SNSs) to encourage
informal communication. The authors believed that the research suggests that social
network sites could be used effectively to encourage informal collaborative learning
for the goal of making sense and not task completion.
Methodology: This study consisted of quantitative research in the form of twosurveys. The first one was randomized survey of 302 students enrolled at a
Midwestern college to determine if intense prior use of Facebook, high self esteem
and satisfaction with life would lead to a higher likelihood that a student would useFacebook for classroom collaboration. The second survey consisted of a
convenience sample of 214 students. The survey results were tested for correlational
relationship, and ANOVA factorial analysis tests were also run.
Results and Discussion: The researchers found that students did use Facebook
informally to collaborate, sharing assignments and information about the course. It is
not clear if the outcomes were positive in terms of outcome or grades or how to
generate this type of outcome. The research indicated that students primarily see
Facebook as a social and entertainment site; however, students who friend their
instructors are more likely to collaborate on school projects.
Implications of the study indicated that informal learning does take place to a
limited extent on Facebook. Reported limitations of the study were that it tested
only for impressions and not for behaviors. There were also sampling issues, in the
sense that the second survey included students enrolled in a technology program.
Future research should explore if Facebook could be integrated into formal learning
in order to impact outcomes such as grades.
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Manion, Christopher E.; Selfe, Richard Dickie (2012). Sharing an AssessmentEcology: Digital Media, Wikis, and the Social Work of Knowledge. TechnicalCommunication Quarterly . 21 (1) 25-45. DOI: 10.1080/ 10572252.2012.626756The purpose of this study was to determine how a decentralized learning
environment affects the instructors role in the classroom and authority. Selfe andDickie (2012) asked the following questions:
What were the teachers expectations in terms of student behavior? Were the students prepared for the decentralized environment and how
were they prepared?
Did the students do anything unexpected on a wiki? Were they any kinds of adaptations made by the instructors? Did the students develop self-efficacy? Were the students involved in the assessment process and how were
records kept?
Literature review: The review of the literature showed, for the most part, how wikisfailed to meet expectations, interfered with collaboration and sometimes even
distorted the relationship between teacher and student. The researchers concluded
that based on the review of literature, wiki use should require a decentralized
approach that reflect the social dynamics of the situation, and this decentralized
direction is the current focus of research in the field.
Methodology: The research consisted of a qualitative study involving three casestudies of instructors that were chosen retrospectively, They were categorized into
three main themes: habits of thought in fields of study, putting the habits intopractice and exploring assessment strategies. The instructors assessed student
projects and the influence of inside and outside stakeholders.
Results and Discussions: The researchers found that even though the instructorsdecentralized their authority in the course in order to put students in charge of
learning, they still maintained their role as experts. Allowing students their own
space for discovery learning benefited their growth by allowing them to be
responsible for learning.
The study provided a useful picture of a decentralized learning environment and away for the future in terms of instructional designs incorporation of formal and
informal social media learning where the instructors objectives are met and many
objectives are self determined by the learners. The limitations of the study are in
the nature of the research, a case study, which does not a parametric measure.
Future research should include an experimental quantitative design.
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Ramirez, Artemio and Zhang, Shuangyue (2007) When online meets offline: theeffect of modality switching on relational communication. CommunicationMonographs 74 (3) 287-310.The purpose of this study was to measure the effects of switching modalities from
computer-mediated communication to face-to-face interactions. The researchersanswered the following questions:
Do perceptions of relational communication after a modality shift fromcomputer-mediated communication to face-to-face communication, in terms of
uncertainty reduction improve after the switch?
Does a sustained online relationship lead to a higher positive outcome aftermodalities are switched?
Does the timing of the switch have an effect on outcomes? What is the effect of modality switching on information seeking?
Literature review: The research was based on social presence theory (Short,Williams & Christie 1976) that explains how relational communication occurs over
computer-mediated channels. Relational communication is affected by shifting of
modes of communication, and there is a common belief that switching
communication modalities from a computer mediated modality to face-to-face
meetings will facilitate relationships and the completion of tasks.
Methodology: This quantitative experimental research study consisted of a largeconvenience sample of 864 undergraduate students enrolled in communication and
business courses at a Midwestern university who were given a chance to participate
in a nine-week study for extra credit. Students were paired with students that theyhad never met and modalities were switched early, midway and late during the nine-
week term. The results were then tested statistically with a multivariate analysis of
variance.
Results and Discussion: The researchers found that optimal relationships were
formed through computer-mediated communications rather than through face-to-face
communications. If modalities were switched, the next most effective relationships
were formed if the switching occurred right away since heightened expectations, in
terms of idealization were not in place. The longer the wait between modality
switching, the worse or more negative the outcome. The researchers speculated thatvisual anonymity is best since the average persons appearance is rather average.
The implications of the study are that the social attributes of computer-medicated
communication are sensitive to the switching of modalities. The limitations of the
study are that the present study was based on temporary virtual relationships and
not fixed ones. Future research could focus on social media communication
specifically and authentic fixed relationships.
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T + D, 66 (2) p 48-54.
Ramirez, Artemio and Zhang, Shuangyue (2007) When online meets offline: the effect
of modality switching on relational communiation. Communication Monographs
74 (3) 287-310.
Short, J., Williams, E., & Christie, B. (1976). The social psychology of
telecommunications . London: Wiley.
Wodzicki, Katrin, Schwammlein, Eva, Moskaliuk, Johannes (2012) Actually, I wanted
to learn: study-related knowledge exchange on social networking sites.
Internet and Higher Education 14 9-14. doi:10.1016/j.iheduc.2011.05.008