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.

网络学习和未来学习技术计划资助的努力将有助于设想下一代学习技术，并推进我们对人们如何在技术丰富的环境中学习的了解。学习如何写作和良好的沟通是成为一个有生产力的社会成员的核心挑战之一，关于写作过程的心理学已经知道很多了。然而，大多数写作教学的重点是写作的产品，有限的能力，教和支持写作的时刻到时刻的部分，并只支持写作过程后的事实。这个项目，一个EAGER（早期概念探索性研究资助）探索的可能性，技术允许计算机告诉一个作家在哪里看（阅读），他们正在键入，可以检测他们的写作过程的重要方面，并提供实时反馈。 此外，记录学习者看的地方和他们键入的内容并允许回放可能会支持写作教师教授一些研究表明可以提高写作技能的技术。该项目将原型化并测试一个脚手架交互式在线写作环境，该环境将使用眼动跟踪凝视检测来自动检测写作策略。通过共同开发过程，包括主要为英语作为第二语言学习者及其学生的介绍性大学写作的教师，该团队将探索眼动跟踪和眼动记录的实时分析所能实现的教学策略，在课堂环境中使用这种技术的限制和启示，以及对写作策略和结果产生最大影响的形成性反馈的类型。研究的初始阶段将验证该软件可以准确地将凝视和凝视与编辑轨迹联系起来，并且这样做的技术实际上可以在真实的课堂环境中传播。研究的后期阶段将侧重于教学策略及其影响;每学期将从主持试点的大学课程中招募14名重点学生，这些学生将完成各种写作任务，以获得各种写作策略;由技术使用记录提示的回顾性口头协议将使用由多个研究人员协作进行的宏观水平编码进行分析，然后进行归纳和演绎的定性分析。