Collaborative Research: EAGER: SCIENCE: Systemic Cultivation of Inclusive Equitable Nurturing Classroom Ecology

合作研究：EAGER：科学：包容公平培育课堂生态的系统培育

• 批准号: 1746123
• 负责人: Shiri Azenkot
• 金额: $ 21.1万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1746123&HistoricalAwards=false
• 关键词: Collaborative; Research; EAGER; SCIENCE; Systemic

In this collaborative proposal, a team of human-computer interaction and learning science researchers will collaborate with science education practitioners to develop and study a novel learning genre that aims to promote equity in science education for 4th-9th graders. The research program targets students with visual impairments (VIs), who face many challenges in the education system, especially in science courses. Unlike subjects in the humanities and social sciences, science education relies heavily on visualizations using charts, diagrams, and images, in addition to print materials. Consequently, students with VIs cannot readily access those visualizations and are burdened with misconceptions of science-related constructs. The proposed learning genre addresses this critical need for equitable access by including innovative multimodal artifacts and a new pedagogical methodology for science education for both sighted and visually impaired students. These multimodal artifacts called Sensables, the innovation at the center of the learning genre, leverage burgeoning technologies and movements such as maker technology and culture, computer vision, and mobile devices. Sensables are 3D printed models that have "hotspots" that respond to a user's touch by playing a media file on a nearby device. These media files can be audio descriptions of the model component, related sounds or images, or even braille annotations. The investigators will study how students learn with these artifacts, and create a web-based sharing and discussion portal, software tools, and instructional resources for teachers to promote broad adoption of the learning genre in the classroom.Through iterative design and engineering, evaluation, and data analysis, this interdisciplinary design-based research program will contribute to both the human-computer interaction and learning science fields. The investigators will conduct a single case design study to evaluate and refine the design of Sensables. The project's output includes new curricular materials and a pedagogical methodology for using Sensables in science education. The study will answer the following research questions: (1) What aspects of the Sensables artifacts and pedagogical methodology afford learning? (2) To what extent do Sensables help students learn material compared to current standards? (3) What type of science content are Sensables best suited for? Similarly, what type of content is not appropriate for learning with Sensables? The investigators will develop and disseminate their research outcome to the academic community as well as education and disability professionals to pave the way for broad use and adoption of this learning technology.

在这项合作提案中，人类计算机互动和学习科学研究人员的团队将与科学教育从业人员合作开发和研究一种新颖的学习类型，旨在促进第四至9年级的科学教育中的公平。该研究计划针对有视觉障碍的学生（VIS），他们在教育系统中面临许多挑战，尤其是在科学课程中。与人文和社会科学的学科不同，科学教育在很大程度上依赖于使用图表，图表和图像的可视化，除了印刷材料。因此，有VIS的学生无法轻易访问这些可视化，并且对与科学相关的结构的误解感到负担。拟议的学习类型通过包括创新的多模式文物以及针对视力和视觉障碍学生的科学教育的新教学方法来解决这种公平访问的关键需求。这些多模式的工件称为Sensables，学习类型的中心的创新，利用新兴的技术以及制造商技术和文化，计算机视觉和移动设备等运动。 Sensables是具有“热点”的3D打印模型，可以通过在附近设备上播放媒体文件来响应用户的触摸。这些媒体文件可以是模型组件，相关声音或图像，甚至是盲文注释的音频描述。调查人员将研究学生如何通过这些工件学习，并为教师创建基于网络的共享和讨论门户，软件工具和教学资源，以促进课堂上的广泛采用学习类型。通过迭代设计和工程，评估和数据分析，这项基于跨学科设计的研究计划将有助于人类互动和学习科学领域。研究人员将进行一项单个案例设计研究，以评估和完善感官的设计。该项目的产出包括新的课程材料和用于在科学教育中使用感官的教学方法。该研究将回答以下研究问题：（1）有感觉文物和教学方法的哪些方面得到学习？ （2）与当前的标准相比，感官的感觉在多大程度上可以帮助学生学习材料？ （3）最适合使用哪种类型的科学内容？同样，哪种类型的内容不适合使用Sensable学习？调查人员将向学术界以及教育和残疾专业人员开发并将其研究成果传播，以铺平道路，以广泛使用和采用这项学习技术。

项目成果

Molder: An Accessible Design Tool for Tactile Maps

• DOI: 10.1145/3313831.3376431
• 发表时间: 2020-01-01
• 期刊: PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20)
• 作者: Shi, Lei;Zhao, Yuhang;Azenkot, Shiri
• 通讯作者: Azenkot, Shiri

A Demonstration of Molder: An Accessible Design Tool for Tactile Maps

Molder 演示：触觉地图的无障碍设计工具

• DOI: 10.1145/3308561.3354594
• 发表时间: 2019
• 期刊: The 21st International ACM SIGACCESS Conference on Computers and Accessibility
• 作者: Shi, Lei;Zhao, Yuhang;Kupferstein, Elizabeth;Azenkot, Shiri
• 通讯作者: Azenkot, Shiri

Designing Interactive 3D Printed Models with Teachers of the Visually Impaired

与视障人士老师一起设计交互式 3D 打印模型

• DOI: 10.1145/3290605.3300427
• 发表时间: 2019
• 期刊: 2019 ACM Conference on Human Factors in Computing Systems
• 作者: Shi, Lei;Lawson, Holly;Zhang, Zhuohao;Azenkot, Shiri
• 通讯作者: Azenkot, Shiri