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Automatic grading of free-form diagrams with label hypernymy

机译:自动分级与标签疼痛的自由形式图

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The automatic grading of free-form answers is gaining importance. This paper presents the only system we know of capable of automatically grading free-form diagrammatic answers. Our approach identifies the parts of a diagram that carry specific meaning in that domain, termed minimal meaningful units (MMUs), and matches them with equivalent parts in a model solution. The result of the matching is used to calculate the grade and to generate appropriate feedback. The matching is complicated by errors, omissions, and superfluous items in the student answer. In particular, inheritance hierarchies in diagrams can cause labels in the diagram to be fragmented across several objects. Our approach has been successfully applied to a variety of diagram types and grades diagrams better than a human marker. We briefly describe a set of tools that allow the easy creation of questions, marking schemes, and diagram editors suitable for online assessment and embedding in a VLE quiz engine.
机译:自由形式答案的自动分级取得重要性。本文介绍了我们唯一知道能够自动分级自由形式图形答案的系统。我们的方法标识图中具有特定含义的图表,该域中具有最小的有意义的单位(MMU),并将其与模型解决方案中的等效部分匹配。匹配结果用于计算等级并产生适当的反馈。匹配在学生答案中的错误,遗漏和多余的物品复杂化。特别地,图中的继承层次结构可以在图中导致标签在多个对象上分段。我们的方法已成功应用于各种图表类型和比例图,而不是人类标记。我们简要介绍一组工具,可以轻松创建问题,标记方案和图表编辑器,适用于在VLE测验引擎中嵌入在线评估和嵌入。

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