The model was initially implemented to solve multiple interventions problems for MOOC discussion forums. This is an improvement to the simpler BoW-LSTM model.
MOOC stands for Massive Open Online Courses. It is an online course aimed at unlimited participation and open access via the web.
Source: Wikipedia
Some examples of MOOCs include Coursera and edX.
Given a discussion forum thread containing a list of posts ordered from the earliest timestamp to the latest timestamp (Note: This is one way to look at the problem. See postia for further details), determine which posts in this thread require/merit instructor interventions. It is a binary classification problem.
Instructor intervention is a term used to refer to instructor's reply to a particular post.
This model uses 300d pre-trained GloVe 6B embeddings. You can download it here.