文章基本信息

标题：Visualizing Topic Flow in Students’ Essays
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作者：Stephen T. O'Rourke ; Rafael A. Calvo ; Danielle S. McNamara 等
期刊名称：Educational Technology and Society
印刷版ISSN：1176-3647
电子版ISSN：1436-4522
出版年度：2011
卷号：14
期号：03
出版社：IFETS - Attn Kinshuck
摘要：ABSTRACT: Visualizing how the parts of a document relate to each other and producing automatically generated quality measures that people can understand are means that writers can use to improve the quality of their compositions. This paper presents a novel document visualization technique and a measure of quality based on the average semantic distance between parts of a document. We show how the visualization helps tutors mark essays more efficiently and reliably, and how a distance index calculated for the visualizations correlates with grades. The technique is further evaluated using three dimensionality reduction techniques. The results provide evidence that the degree of topic flow between consecutive sentences and paragraphs is related to essay quality.
关键词：Keywords: Document visualizations, writing, argument flow