TY - GEN
T1 - Untangling MOOC learner networks
AU - Poquet, Oleksandra
AU - Dawson, Shane
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/4/25
Y1 - 2016/4/25
N2 - Research in formal education has repeatedly offered evidence of the importance of social interactions for student learning. However, it remains unclear whether the development of such interpersonal relationships has the same influence on learning in the context of large-scale open online learning. For instance, in MOOCs group members frequently change and the volume of interactions can quickly amass to chaos, therefore impeding an individual's propensity to foster meaningful relationships. This paper examined a MOOC for its potential to develop social processes. As it is exceedingly difficult to establish a relationship with somebody who seldom accesses a MOOC discussion, we singled out a cohort defined by its participants' regularity of forum presence. The study, analysed this 'cohort' and its development, in comparison to the entire MOOC learner network. Mixed methods of social network analysis (SNA), content analysis and statistical network modelling, revealed the potential for unfolding social processes among a more persistent group of learners in the MOOC setting.
AB - Research in formal education has repeatedly offered evidence of the importance of social interactions for student learning. However, it remains unclear whether the development of such interpersonal relationships has the same influence on learning in the context of large-scale open online learning. For instance, in MOOCs group members frequently change and the volume of interactions can quickly amass to chaos, therefore impeding an individual's propensity to foster meaningful relationships. This paper examined a MOOC for its potential to develop social processes. As it is exceedingly difficult to establish a relationship with somebody who seldom accesses a MOOC discussion, we singled out a cohort defined by its participants' regularity of forum presence. The study, analysed this 'cohort' and its development, in comparison to the entire MOOC learner network. Mixed methods of social network analysis (SNA), content analysis and statistical network modelling, revealed the potential for unfolding social processes among a more persistent group of learners in the MOOC setting.
KW - Forums
KW - Interpersonal interactions
KW - MOOCs
KW - Networked learning
UR - http://www.scopus.com/inward/record.url?scp=84976503740&partnerID=8YFLogxK
U2 - 10.1145/2883851.2883919
DO - 10.1145/2883851.2883919
M3 - Conference contribution
AN - SCOPUS:84976503740
T3 - ACM International Conference Proceeding Series
SP - 208
EP - 212
BT - LAK 2016 Conference Proceedings, 6th International Learning Analytics and Knowledge Conference - Enhancing Impact
PB - Association for Computing Machinery
T2 - 6th International Conference on Learning Analytics and Knowledge, LAK 2016
Y2 - 25 April 2016 through 29 April 2016
ER -