SourceWrite: Real-time, biometric, intention-informed scaffolding of source-based writing processes

SourceWrite：基于源代码的写作过程的实时、生物识别、意图通知支架

• 批准号: 2302644
• 负责人: Evgeny Chukharev
• 金额: $ 85万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2302644&HistoricalAwards=false
• 关键词: SourceWrite; Real; time; biometric; intention

Writing is a complex task which comprises several component processes: reading source materials, setting goals, planning content, translating ideas into language, reading already-written text, copyediting, and so forth. Which processes a student uses, and in what sequence, affects the quality of their written composition. By the time students reach college, most will have developed their own individual mixture of writing processes. These will vary in effectiveness. When faced with demanding disciplinary writing tasks, especially those that require synthesizing multiple sources, students' established writing processes often turn out to be suboptimal. This is a particular concern for students studying for Science, Technology, Engineering, and Mathematics (STEM) degrees. Required college-level composition classes are designed to help students improve their writing skills. However, in these classes, students usually receive feedback only about the texts they have already written, not about the processes they use when they write. This is because writing instructors do not have access to the moment-by-moment actions by which students' texts are produced. In this project, the researchers will develop an intelligent tutoring system called "SourceWrite" that will automatically track what the student is doing during the composition process, infer why they are doing it, and then provide individualized advice and assistance, all in real time while the student is still in the process of composing their text.Specifically, the researchers will develop methods for automatic writing-process analysis that will combine biometric data (keystroke timings and eye movements) with natural language processing to infer the student's intentions during composition. These methods will permit automatic, real-time predictions about writing-process patterns and how these will affect the ultimate quality of the text. This will be achieved in real time, during text composition, before the text has been fully produced. To achieve this end, this project will bring together research in (data-driven) writing analytics with (theory-driven) psycholinguistics of text production, two directions that have traditionally been followed separately. The learning and teaching innovation will be in designing, implementing, and evaluating a novel educational intervention that will provide intelligent support to students as they engage with their sources and produce academic text, in the context of a college composition course. Through a series of design-based research iterations followed by a randomized, controlled evaluation, this project will establish design principles for this new pedagogy and determine its effectiveness for developing college students' writing ability.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

写作是一项复杂的任务，包括几个组件过程：阅读源材料，设定目标，计划内容，将想法转化为语言，阅读已写入的文本，复制编辑等等。哪个处理学生使用的，以及以什么顺序影响其书面构图的质量。到学生到大学时，大多数人都会发展自己的写作过程的个人混合。这些在有效性上会有所不同。当面对苛刻的纪律写作任务时，尤其是那些需要综合多个来源的纪律写作任务时，学生的建立写作过程通常是次优的。对于学习科学，技术，工程和数学（STEM）学位的学生来说，这是一个特别关注的问题。所需的大学级成文课程旨在帮助学生提高他们的写作能力。但是，在这些课程中，学生通常只收到有关他们已经写过的文本的反馈，而不是关于他们写作时使用的过程的反馈。这是因为写作讲师无法逐步访问学生的文本。在这个项目中，研究人员将开发一个称为“ sourcewrite”的智能辅导系统，该系统将自动跟踪学生在组成过程中所做的事情，推断出他们为什么要做的事情，然后提供个性化的建议和帮助，所有这些都实时，而学生仍在撰写文本的过程中。推断学生在构图过程中的意图。这些方法将允许关于写作模式的自动实时预测以及这些方法将如何影响文本的最终质量。这将在文本组成期间实时实现，然后才能充分产生文本。为了实现这一目的，该项目将通过（数据驱动）写作分析的研究与文本生产的（理论驱动的）心理语言学一起进行汇总，这两个方向是单独遵循的两个方向。学习和教学创新将是在设计，实施和评估一种新颖的教育干预措施方面，该干预措施将在学生参与资源并在大学构图课程的背景下为学生提供明智的支持。通过一系列基于设计的研究迭代，然后进行随机，受控的评估，该项目将为这项新的教学法建立设计原理，并确定其发展大学生写作能力的有效性。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评估审查标准来通过评估来支持的。