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, R. Arriaga
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引用次数: 2

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.
PARQR:扩大广场在线论坛,以更好地支持在线硕士学生申请学位
我们介绍了PARQR,这是一个在线教育论坛的工具,在一所顶尖大学的在线硕士学位课程中,它减少了40%的重复帖子。PARQR不是执行标准的关键字搜索,而是在学生撰写问题时进行监控,并不断推荐相关帖子。在测试中,PARQR在73.5%的时间里正确地推荐了相关职位(如果存在的话)。我们讨论了PARQR的设计,比较使用和不使用PARQR的不同学期的初步实验结果,以及我们对教学教师进行的关于他们使用PARQR的经验的访谈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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