Pith. sign in

REVIEW

PARQR: Augmenting the Piazza Online Forum to Better Support Degree Seeking Online Masters Students

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1909.02043 v1 pith:IUMPJH2D submitted 2019-09-04 cs.HC

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
show 2 more authors
Thad Starner Rosa Arriaga
This is my paper
classification cs.HC
keywords parqronlinedegreemasterspostsrelevantseekingstudents
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original 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.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.