PARQR: Augmenting the Piazza Online Forum to Better Support Degree Seeking Online Masters Students
Noah Bilgrien, Roy Finkelberg, Chirag Tailor, India Irish, Girish, Murali, Abhishek Mangal, Niklas Gustafsson, Sumedha Raman, Thad Starner, Rosa, Arriaga

TL;DR
PARQR is a tool that enhances online forum support for online master's students by reducing duplicate posts through real-time suggestions, improving forum organization and student engagement.
Contribution
This paper presents PARQR, a novel real-time question suggestion system that significantly reduces duplicate posts in online education forums.
Findings
PARQR reduces duplicate posts by 40%.
PARQR correctly recommends relevant posts 73.5% of the time.
Initial experiments show positive impact on forum quality.
Abstract
We introduce PARQR, a tool for online education forums that reduces duplicate posts by 40\% in a degree seeking online masters program at a top university. Instead of performing a standard keyword search, PARQR monitors questions as students compose them and continuously suggests relevant posts. In testing, PARQR correctly recommends a relevant post, if one exists, 73.5\% of the time. We discuss PARQR's design, initial experimental results comparing different semesters with and without PARQR, and interviews we conducted with teaching instructors regarding their experience with PARQR.
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Taxonomy
TopicsOnline Learning and Analytics · Online and Blended Learning
