000223718 001__ 223718
000223718 005__ 20190416055556.0
000223718 037__ $$aCONF
000223718 245__ $$aDynamics of MOOC Discussion Forums
000223718 269__ $$a2017
000223718 260__ $$c2017
000223718 336__ $$aConference Papers
000223718 520__ $$aIn this integrated study of dynamics in MOOCs discussion forums, we analyze the interplay of temporal patterns, discussion content, and the social structure emerging from the communication using mixed methods. A special focus is on the yet under-explored aspect of time dynamics and influence of the course structure on forum participation. Our analyses show dependencies between the course structure (video opening time and assignment deadlines) and the overall forum activity whereas such a clear link could only be partially observed considering the discussion content. For analyzing the social dimension we apply role modeling techniques from social network analysis. While the types of user roles based on connection patterns are relatively stable over time, the high fluctuation of active contributors lead to frequent changes from active to passive roles during the course. However, while most users do not create many social connections they can play an important role in the content dimension triggering discussions on the course subject. Finally, we show that forum activity level can be predicted one week in advance based on the course structure, forum activity history and attributes of the communication network which enables identification of periods when increased tutor supports in the forum is necessary.
000223718 6531_ $$aMassive open online courses
000223718 6531_ $$aDiscussion forum
000223718 6531_ $$aSocial network
000223718 6531_ $$aTemporal analysis
000223718 6531_ $$aContent analysis
000223718 6531_ $$aMOOCs
000223718 700__ $$0247478$$g221974$$aShirvani Boroujeni, Mina
000223718 700__ $$aHecking, Tobias
000223718 700__ $$aHoppe, H. Ulrich
000223718 700__ $$aDillenbourg, Pierre$$g155704$$0240137
000223718 7112_ $$dMarch 13-17, 2017$$cVancouver, British Colombia, Canada$$a7th International Learning Analytics and Knowledge Conference (LAK17)
000223718 8564_ $$uhttps://infoscience.epfl.ch/record/223718/files/LAK2017_Forum_Dynamics.pdf$$zn/a$$s2916134$$yn/a
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000223718 917Z8 $$x221974
000223718 937__ $$aEPFL-CONF-223718
000223718 973__ $$rREVIEWED$$sACCEPTED$$aEPFL
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