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

Abstract

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 heterogeneous set of classiers to classify forum posts across multiple dimensions. In particular, classiers that target sentiment, urgency, and other descriptive variables inform a single classier 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 classication 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.

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• YouEDU: Addressing Confusion in MOOC Discussion Forums by Recommending Instructional Video Clips. (deposited 09 Feb 2015 22:57) [Currently Displayed]
  • YouEDU: Addressing Confusion in MOOC Discussion Forums by Recommending Instructional Video Clips. (deposited 10 Feb 2015 19:00)
    • YouEDU: Addressing Confusion in MOOC Discussion Forums by Recommending Instructional Video Clips. (deposited 16 Feb 2015 11:21)