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HCC: Small: AccessMath: Improving Mathematics Lectures for Low Vision Students through Integrated Video, Note-Taking and Search

HCC: Small: AccessMath: Improving Mathematics Lectures for Low Vision Students through Integrated Video, Note-Taking and Search
HCC:小型:AccessMath:通过集成视频、笔记和搜索改进低视力学生的数学讲座
批准号:
1218801
负责人:
Stephanie Ludi
金额:
$48.68万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-01 至 2017-03-31

项目摘要

项目成果

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中文摘要
翻译
接受数学教育对于促进科学、工程、技术和许多职业的职业发展以及提供日常生活所需的数学素养至关重要。国际学生联合会在这个项目中的目标是增加低视力学生(视力受损但不是盲人)在课堂上实时获取数学材料的机会,这是目前最缺乏的,因为这些学生必须主要依靠辅助技术和人工笔记人员在班级会议后提供获取课程材料的机会。PI的方法是将计算机科学、数学和可访问性方面的专业知识结合在一起,为iPad提供一个有用和可用的解决方案。这款名为AccessMath的原型应用程序将提供可缩放的相机视图,以及白板上书写的笔记(由Mimio捕获)视图,这些笔记可以通过放大和对比度调整功能进行更改。该系统将支持在讲课期间查阅和搜索课程内容,包括教科书、讲义、写在白板上的笔记和视频音频(例如,在课程的录音讲课中查找“特征值”一词)。将采用一种新颖的笔记工具,其中笔记被表示在可以附加到当前视图中的特定位置(例如,在白板视图中的点)的笔记“卡片”上,然后手动地移动、调整大小、旋转、堆叠和“轻弹”出视图,从而提供了与在讲课期间创建的笔记进行非正式交互的自然手段。备注可以创建为空白卡片,也可以创建为包含白板数据、视频摘录或现有备注视图的卡片。笔记也用于构建搜索查询。线性代数(特别是矩阵)是该项目的试点范围,这是因为在表达矩阵、矩阵中的各个项、推导之后以及完成非平凡问题时所需的矩阵的规模方面存在许多挑战。AccessMath用户将拥有一台连接到服务器的iPad,该服务器提供视频馈送以及识别和检索服务。广泛的影响:AccessMath将通过提供对讲座材料的即时访问,帮助视力低下的学生在高中和大学课堂内外进行数学教学,包括搜索白板笔记、讲义、教科书和讲座视频中的数学内容(通过音频中的单词识别)。该系统将为学生提供笔记和定制访问的所有权,这将比目前的解决方案好得多,并将减少或消除视障学生在课堂环境中落后于视力正常的同龄人的程度。该项目还将推进数学符号识别和检索的最先进水平,并将创建一种新的笔记模式,使用桌面上的照片隐喻,该模式应该适用于数学以外的领域。
英文摘要
Access to mathematics education is critical to facilitating careers in the sciences, engineering, technology, and in many professions, as well as to providing the mathematical literacy needed in everyday life. The PI's goal in this project is to increase real-time access in the classroom to mathematical material for low vision students (who are visually impaired but not blind), which is currently mostly lacking as these students must primarily rely on assistive technology and human note takers to provide access to course materials after the class meeting. The PI's approach is to bring together expertise in computer science, mathematics, and accessibility to provide a useful and usable solution to this problem for the iPad. Called AccessMath, the prototype application will provide zoom-able camera views as well as a view of notes written at the whiteboard (captured by a Mimio), which may be altered through magnification and contrast adjustment features. The system will support consulting and searching course content during lecture, including textbooks, handouts, notes written at the whiteboard, and audio in video (e.g., to find the word "eigenvalue" in recorded lectures for the course). A novel note-taking facility will be employed, where notes are represented on note "cards" that can be attached to a specific location in the current view (e.g., at a spot in the whiteboard view), then manually moved, resized, rotated, stacked, and "flicked" out of view, providing a natural means for interacting informally with notes created during lecture. Notes are created as blank cards, or as cards containing views of whiteboard data, video excerpts, or existing notes. Notes are also used in constructing search queries. Linear algebra (in particular matrices) is the pilot scope for the project, due to the many challenges in conveying a matrix, individual items within the matrix, following derivations, and the scale of the matrix needed when completing non-trivial problems. AccessMath users will have a single iPad which connects to a server providing video feeds and recognition and retrieval services.Broader Impacts: AccessMath will assist low-vision students with mathematical instruction in and out of class, at the high school and university levels, by providing immediate access to lecture materials, including searches for mathematical content in whiteboard notes, handouts, textbooks, and lecture videos (through word spotting in audio). The system will afford student ownership in note taking and customizing access, which will be significantly better than current solutions, and will reduce or eliminate the extent to which visually impaired students fall behind their sighted peers in the classroom setting. The project will also advance the state-of-the-art in recognition and retrieval for mathematical notation, and will create a novel note-taking model using the metaphor of photos on a tabletop, which should be applicable to domains other than mathematics.
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