EAGER: Exploiting Keystroke Logging and Eye-Tracking to Support the Learning of Writing

EAGER：利用击键记录和眼动追踪来支持写作学习

• 批准号: 1550122
• 负责人: Evgeny Chukharev
• 金额: $ 29.95万
• 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: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1550122&HistoricalAwards=false
• 关键词: EAGER; Exploiting; Keystroke; Logging; Eye

The Cyberlearning and Future Learning Technologies Program funds efforts that will help envision the next generation of learning technologies and advance what we know about how people learn in technology-rich environments. Learning how to write and communicate well is one of the core challenges for becoming a productive member of society, and much is known about the psychology of the writing process. Yet, most writing instruction focuses instead on the product of writing, with limited ability to teach and support the moment to moment parts of writing, and only supporting the writing process after the fact. This project, an EAGER (EArly-concept Grant for Exploratory Research) explores the possibility that technology allowing the computer to tell where a writer is looking (reading), and what they are typing, can detect important aspects of their writing process and provide real-time feedback. Additionally, recording where learners look and what they type and allowing playback might support instructors of writing to teach some of the techniques that research shows can improve writing skills.This project will prototype and test a scaffolded interactive online writing environment that synchronizes keystroke logging with eye-tracking gaze detection to enable automated detection of writing strategies. Through a co-development process including instructors of introductory college writing for primarily English as a Second Language learners and their students, the team will explore the pedagogical strategies that real-time analysis of eyetracking and keystroke logging enable, the constraints and affordances of using such technology in a classroom environment, and the types of formative feedback that have the greatest impact on writing strategies and outcomes. Initial phases of the research will validate that the software can accurately link gaze and keystrokes to an edit trace, and that the technology to do so can practically be disseminated in real classroom environments. The later phases of the research will focus on pedagogical strategies and their impacts; 14 focal students per semester will be recruited from the college level courses hosting the pilot, and these students will conduct a variety of writing tasks designed to elicit varied writing strategies; retrospective verbal protocols prompted by recordings of the technology use will be analyzed using macro-level coding conducted collaboratively by multiple researchers, and then subjected to both inductive and deductive qualitative analysis.

网络学习和未来的学习技术计划资助的工作将有助于设想下一代学习技术，并促进我们对人们在技术丰富的环境中学习的了解。学习如何写作和交流是成为社会上有效成员的核心挑战之一，并且对写作过程的心理知之甚少。然而，大多数写作指令都集中在写作的产物上，教学和支持写作的一部分的能力有限，并且仅在事实之后支持写作过程。该项目是一个渴望的（早期概念赠款的探索性研究补助金），探索了允许计算机告诉作者在哪里（阅读）以及他们输入的内容的技术，可以检测其写作过程的重要方面并提供真实的方面 - 时间反馈。 此外，录制学习者的外观以及他们输入的内容以及允许播放的内容可能支持写作的讲师，以教授研究表明可以提高写作技巧的一些技术。该项目将原型和测试脚手架的交互式在线写作环境，以同步的键盘记录与眼睛的眼睛同步。 - 追踪目光检测以实现自动检测写作策略。通过共同开发过程，包括主要作为第二语言学习者及其学生的英语入门介绍师写作的讲师，该团队将探索教学策略，这些教学策略是对眼影和击键记录的实时分析，启用了启用的限制和限制，并提供了使用此类限制。在课堂环境中的技术以及对写作策略和成果产生最大影响的形成性反馈类型。研究的初始阶段将验证该软件可以准确地将目光和击键连接到编辑跟踪，并且这样做的技术实际上可以在真实的课堂环境中传播。研究的后期阶段将重点介绍教学策略及其影响。每学期的14名重点学生将从主持飞行员的大学级课程中招募，这些学生将执行各种旨在引发各种写作策略的写作任务；通过多个研究人员协同进行的宏观编码，将分析由技术使用记录促成的回顾性口头协议，然后进行归纳和演绎定性分析。