OpenEssayist: a supply and demand learning analytics tool for drafting academic essays
OpenEssayist: a supply and demand learning analytics tool for drafting academic essays
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DOI：
10.1145/2723576.2723599
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发表时间：
2015-03
期刊：
影响因子：
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通讯作者：
Denise Whitelock;A. Twiner;J. T. Richardson;Debora Field;S. Pulman
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文献类型：
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作者：
Denise Whitelock;A. Twiner;J. T. Richardson;Debora Field;S. Pulman
本文重点介绍如何使用自然语言分析引擎在准备总结性评估论文时向学生提供反馈。 OpenEssayist 是一种实时学习分析工具，它通过处理论文中文本的语言分析引擎和使用语言分析引擎的输出生成反馈的 Web 应用程序相结合来运行。我们概述了系统本身，并对一群参与系统模块作业的学生观察到的活动模式进行了分析。我们报告了提交给系统的草稿数量与第一份作业的评分之间存在显着的正相关关系。我们还可以报告说，这批学生的总体成绩显着高于之前无法访问 OpenEssayist 的学生。作为一个内容自由的系统，OpenEssayist 可用于支持在任何需要撰写论文的领域工作的学生。
This paper focuses on the use of a natural language analytics engine to provide feedback to students when preparing an essay for summative assessment. OpenEssayist is a real-time learning analytics tool, which operates through the combination of a linguistic analysis engine that processes the text in the essay, and a web application that uses the output of the linguistic analysis engine to generate the feedback. We outline the system itself and present analysis of observed patterns of activity as a cohort of students engaged with the system for their module assignments. We report a significant positive correlation between the number of drafts submitted to the system and the grades awarded for the first assignment. We can also report that this cohort of students gained significantly higher overall grades than the students in the previous cohort, who had no access to OpenEssayist. As a system that is content free, OpenEssayist can be used to support students working in any domain that requires the writing of essays.