Research on Implementation of MOOC Online Question Answering System by Introducing Crowd Sourcing

  • Hong Liang ,
  • Ran Congjing ,
  • Yu Qian
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  • 1. School of Information Management, Wuhan University, Wuhan 430072;
    2. School of Computer, Wuhan University, Wuhan 430072

Received date: 2014-08-07

  Revised date: 2014-08-26

  Online published: 2014-10-05

Abstract

To improve real-time performance and provide an incentive mechanism to MOOC online Question Answering (Q&A) system, this paper introduces incentive mechanism of crowd sourcing to modeling MOOC online Q&A. It first designs a system flow of MOOC online Q&A system, and then models each step of online Q&A; on such basis, it designs an efficient student selection algorithm, which determines the levels of students according to question answering history, so as to stimulate students with different levels to participate classroom questioning; and finally implements a MOOC online Q&A system ,including the teacher questioning module, the students selection module, the students answering module and the teacher scoring module。The Q&A system has been applied to real MOOC courses. The satisfaction survey towards teachers and students indicates this system can support real-time MOOC online question answering, and stimulate students actively participate question answering.

Cite this article

Hong Liang , Ran Congjing , Yu Qian . Research on Implementation of MOOC Online Question Answering System by Introducing Crowd Sourcing[J]. Library and Information Service, 2014 , 58(19) : 118 -123 . DOI: 10.13266/j.issn.0252-3116.2014.19.018

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