TY - GEN
T1 - What can we learn from Facebook activity? Using social learning analytics to observe new media literacy skills
AU - Ahn, June
PY - 2013
Y1 - 2013
N2 - Social media platforms such as Facebook are now a ubiquitous part of everyday life for many people. New media scholars posit that the participatory culture encouraged by social media gives rise to new forms of literacy skills that are vital to learning. However, there have been few attempts to use analytics to understand the new media literacy skills that may be embedded in an individual's participation in social media. In this paper, I collect raw activity data that was shared by an exploratory sample of Facebook users. I then utilize factor analysis and regression models to show how (a) Facebook members' online activity coalesce into distinct categories of social media behavior and (b) how these participatory behaviors correlate with and predict measures of new media literacy skills. The study demonstrates the use of analytics to understand the literacies embedded in people's social media activity. The implications speak to the potential of social learning analytics to identify and predict new media literacy skills from data streams in social media platforms.
AB - Social media platforms such as Facebook are now a ubiquitous part of everyday life for many people. New media scholars posit that the participatory culture encouraged by social media gives rise to new forms of literacy skills that are vital to learning. However, there have been few attempts to use analytics to understand the new media literacy skills that may be embedded in an individual's participation in social media. In this paper, I collect raw activity data that was shared by an exploratory sample of Facebook users. I then utilize factor analysis and regression models to show how (a) Facebook members' online activity coalesce into distinct categories of social media behavior and (b) how these participatory behaviors correlate with and predict measures of new media literacy skills. The study demonstrates the use of analytics to understand the literacies embedded in people's social media activity. The implications speak to the potential of social learning analytics to identify and predict new media literacy skills from data streams in social media platforms.
KW - learning analytics
KW - literacy
KW - new media literacy
KW - social learning analytics
KW - social media
UR - http://www.scopus.com/inward/record.url?scp=84876474504&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84876474504&partnerID=8YFLogxK
U2 - 10.1145/2460296.2460323
DO - 10.1145/2460296.2460323
M3 - Conference contribution
AN - SCOPUS:84876474504
SN - 9781450317856
T3 - ACM International Conference Proceeding Series
SP - 135
EP - 144
BT - LAK 2013
T2 - 3rd International Conference on Learning Analytics and Knowledge, LAK 2013
Y2 - 8 April 2013 through 12 April 2013
ER -