Paper: Predicting Instructor's Intervention in MOOC forums

ACL ID P14-1141
Title Predicting Instructor's Intervention in MOOC forums
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014

Instructor intervention in student discus- sion forums is a vital component in Massive Open Online Courses (MOOCs), where personalized interaction is limited. This paper introduces the problem of pre- dicting instructor interventions in MOOC forums. We propose several prediction models designed to capture unique aspects of MOOCs, combining course informa- tion, forum structure and posts content. Our models abstract contents of individ- ual posts of threads using latent categories, learned jointly with the binary interven- tion prediction problem. Experiments over data from two Coursera MOOCs demon- strate that incorporating the structure of threads into the learning problem leads to better predictive performance.