Multi-task Learning for Effective Forum Curation in MOOCs
DescriptionDespite several advantages of online education, lack of effective student-instructor interaction, especially when students need timely help with the course content, poses significant pedagogical challenges. Motivated by this, we address the problems of automatically identifying posts that express confusion or urgency from Massive Open Online Course (MOOC) forums. To this end, we first investigate the extent to which the tasks of confusion detection and urgency detection are correlated so as to explore the possibility of utilizing a multitasking set-up. We then propose an LSTM-based multitask learning framework to leverage shared information and transfer knowledge across these related tasks. Our experiments demonstrate that the approach improves over single-task models.