| 摘 要: 近年来，随着众包的发展，对工作者的准确率估计越来越受到关注。而作为一种特殊的众包形式，学生 互评也被MOOC平台(大规模开放式在线课程)广泛应用。本篇文章研究MOOC课程中的在线互评机制，通过结合学生互 评质量与学生的学习能力对其互评能力做出估计，以此设计互评分配算法。通过更精准地分配互评任务，得到更符合学 生作业质量情况的互评结果。 |
| 关键词: MOOC；推荐互评；众包；质量控制；分配算法 |
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中图分类号: TP391
文献标识码: A
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| Research on Quality Control of Peer Grading in MOOCs |
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ZHANG Zhong,SONG Jihong,FU Xiaohan1,2
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1.( 1.Shenyang University of Technology, Shenyang 110870, China;2.
2.Northeastern University, Shenyang 110819, China)
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| Abstract: In recent years,with the rapid development of crowd-sourcing,estimating the precision ratio of crowd workers has attracted more and more attention.As a special form of crowd-sourcing,peer grading has been used by most of Massive Open Online Courses (MOOCs).This paper studies peer grading mechanism in MOOCs,and estimates students' peer grading ability through a combination of their peer assessment and study ability,so as to design an allocation algorithm and achieve more accurate results in compliance with students' works by means of more accurate assignments of peer assessment. |
| Keywords: MOOC;peer grading;crowd-sourcing;quality control;allocation algorithm |
