Liu, WeizheKidzinski, LukaszDillenbourg, Pierre2015-09-062015-09-062015-09-062015https://infoscience.epfl.ch/handle/20.500.14299/117625Massive online open courses’ (MOOCs’) students who use discussion forums have higher chances of finishing the course. However, little research has been conducted for understanding the underlying fac- tors. One of the reasons which hinders the analysis is the amount of manual work required for annotating posts. In this paper we use ma- chine learning techniques to extrapolate small set of annotations to the whole forum. These annotations not only allow MOOC producers to sum- marize the state of the forum, but they also allow researchers to deeper understand the role of the forum in the learning process.moocsforum analysismachine learningtext::conference output::conference proceedings::conference paper