Stanford InfoLab Publication Server

YouEDU: Addressing Confusion in MOOC Discussion Forums by Recommending Instructional Video Clips

Agrawal, Akshay and Venkatraman, Jagadish and Leonard, Shane and Paepcke, Andreas YouEDU: Addressing Confusion in MOOC Discussion Forums by Recommending Instructional Video Clips. In: Submitted for publication.


This is the latest version of this item.



In Massive Open Online Courses (MOOCs), struggling learners often seek help by posting questions in discussion forums. Unfortunately, given the large volume of discussion in MOOCs, instructors may overlook these learners' posts, detrimentally impacting the learning process and exacerbating attrition. In this paper, we present YouEDU, an instructional aid that automatically detects and addresses confusion in forum posts. Leveraging our Stanford MOOCPosts corpus, we train a set of classifiers to classify forum posts across multiple dimensions. In particular, classifiers that target sentiment, urgency, and other descriptive variables inform a single classifier that detects confusion. We then employ information retrieval techniques to map confused posts to minute-resolution clips from course videos; the ranking over these clips accounts for textual similarity between posts and closed captions. We measure the performance of our classification model in multiple educational contexts, exploring the nature of confusion within each; we also evaluate the relevancy of materials returned by our ranking algorithm. Experimental results demonstrate that YouEDU achieves both its goals, paving the way for intelligent intervention systems in MOOC discussion forums.

Item Type:Conference or Workshop Item (Paper)
Projects:Digital Libraries
ID Code:1127
Deposited By:Andreas Paepcke
Deposited On:19 Feb 2015 14:46
Last Modified:19 Feb 2015 15:33

Available Versions of this Item

Download statistics

Repository Staff Only: item control page