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Handling re-grading of automatically graded assignments in MOOCs

机译:处理MOOC中自动评分作业的重新评分

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The process of assessment grading does not end on publishing the grades and assessment results. Often, discussions about single grades arise in post-exam reviews. While in traditional teaching and smaller online classes this can be handled on a per-user based approach, in Massive Open Online Courses (MOOCs) with thousands of e-assessment submissions this approach cannot be followed without investing huge resources. Therefore, a new approach of handling re-gradings is needed. In this paper, we will discuss the experience on re-gradings based on six courses offered on openHPI. We will introduce our concept of automated re-grading following an approach of fairness and demonstrate the importance of transparent communication. This paper provides a blueprint for handling re-grading issues in large scale learning environments.
机译:评估等级的过程不会在发布等级和评估结果时结束。通常,在考试后的评论中会出现有关单年级的讨论。尽管在传统教学和较小的在线课程中,这可以通过基于每个用户的方法来处理,但在具有成千上万个电子评估提交的大规模开放式在线课程(MOOC)中,如果不投入大量资源就无法遵循这种方法。因此,需要一种处理重新分级的新方法。在本文中,我们将基于openHPI提供的六门课程讨论重新评分的经验。我们将遵循一种公平的方法,介绍我们的自动重新分级的概念,并展示透明通信的重要性。本文提供了在大规模学习环境中处理重新分级问题的蓝图。

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