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A method of automatic grade calibration in peer assessment

机译:同行评议中的自动成绩校准方法

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Once the exclusive preserve of small graduate courses, peer assessment is being rediscovered as an effective and efficient learning tool in large undergraduate classes, a transition made possible through the use of electronic assignment submissions and web-based support software.Asking large numbers of undergraduates to grade each others work raises a number of obvious concerns. How will mark reliability and validity be maintained? Can plagiarism be detected or prevented? What effect will "rogue" reviewers have on the integrity of the process? Will effective learning actually occur?In this paper we address the issue of grade reliability, and present a novel technique for identifying and minimising the impact of "rogues." Simulations suggest the method is effective under a wide range of conditions.
机译:一旦只保留了小型研究生课程,同伴评估就被重新发现为大型本科班级的有效学习工具,通过使用电子作业提交和基于Web的支持软件,过渡成为可能。对彼此的工作进行评分会引起许多明显的问题。如何保持标记的可靠性和有效性?窃可以被发现或预防吗? “流氓”审稿人会对流程的完整性产生什么影响?有效的学习真的会发生吗?在本文中,我们解决了成绩可靠性的问题,并提出了一种识别和最小化“流氓”影响的新颖技术。仿真表明,该方法在多种条件下均有效。

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