Collaborative Research: Advancing STEM Online Learning by Augmenting Accessibility with Explanatory Captions and AI
协作研究:通过解释性字幕和人工智能增强可访问性,推进 STEM 在线学习
基本信息
- 批准号:2118824
- 负责人:
- 金额:$ 13.39万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-15 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Videos are a popular medium for online learning, in which captions are essential for increasing accessibility to students for effective learning. This research identifies two types of video captions: typical closed captions and explanatory captions. Closed captions are a text representation of the spoken part of a video. Explanatory captions are created to give students insights into the visual, textual, and audio content of a video. Existing technologies have focused on automatically generating or improving the quality of closed captions. For STEM learning, explanatory captions have the potential to play a new role in learning. This project will work to devise effective Q/A mechanisms and effective interaction designs that enable students and instructors to generate explanatory captions for STEM videos in a collaborative manner. The proposed technologies will augment accessibility and learning experiences for under-served populations, including the Deaf and Hard-of-Hearing (DHH) community, made up of 48 million Americans, while also improving comprehension for non-native English speakers, even those without hearing impairments. Evaluation sites include both Gallaudet University, the world’s only liberal arts university dedicated exclusively to educating DHH learners, and the University of Illinois at Urbana-Champaign, which has the largest international student population amongst U.S. public institutions and supports students with disabilities in inclusive learning environments. This interdisciplinary research draws from and contributes to both computer science and learning science, and accessibility practices in the following areas. The first step is discovering new knowledge about how accessibility-enabled videos (with explanatory and closed captions) broaden the participation of under-served populations in STEM learning. This will provide the foundation for developing a theory of how explanatory captions can contribute to learning and effective mechanisms, based on crowdsourced human contributions and machine learning algorithms, to create these explanatory captions for STEM videos at different learning stages (e.g., preparing, tracking, trouble-shooting, and reflecting). The investigators will then use the theory to create a novel chatbot that enables knowledge sharing for students with diverse backgrounds. Theoretical frameworks--ICAP (interactive, constructive, active, and passive) and Community of Inquiry will guide the evaluation of how explanatory captions and chatbots can contribute to learning. Finally, the team will acquire empirical understanding of how augmented accessibility with AI agents (e.g., chatbots) impacts students' and instructors’ practices.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.
视频是一种流行的在线学习媒体,其中字幕对于提高学生有效学习的可访问性至关重要。本研究将视频字幕分为两类:典型隐藏式字幕和解释性字幕。隐藏式字幕是视频语音部分的文本表示。创建解说字幕是为了让学生深入了解视频的视觉,文本和音频内容。现有技术集中于自动生成或提高隐藏字幕的质量。对于STEM学习,解释性字幕有可能在学习中发挥新的作用。该项目将致力于设计有效的Q/A机制和有效的互动设计,使学生和教师能够以合作的方式为STEM视频生成解释性字幕。拟议的技术将增加服务不足人群的可访问性和学习体验,包括由4800万美国人组成的聋人和听力困难(DHH)社区,同时还提高了非英语母语者的理解能力,即使是那些没有听力障碍的人。评估地点包括Gallaudet大学,这是世界上唯一一所专门致力于教育DHH学习者的文科大学,以及伊利诺伊大学厄巴纳-香槟分校,该大学在美国公立机构中拥有最多的国际学生人口,并在包容性学习环境中支持残疾学生。这种跨学科的研究借鉴并有助于计算机科学和学习科学,以及以下领域的无障碍实践。第一步是发现关于无障碍视频(带有解释性和隐藏字幕)如何扩大服务不足人群参与STEM学习的新知识。这将为开发解释性字幕如何有助于学习的理论和有效机制提供基础,基于众包的人类贡献和机器学习算法,为不同学习阶段的STEM视频创建这些解释性字幕(例如,准备、跟踪、故障排除和反思)。然后,研究人员将利用这一理论创建一个新颖的聊天机器人,为不同背景的学生提供知识共享。 理论框架--ICAP(交互式、建设性、主动和被动)和探究社区将指导对解释性字幕和聊天机器人如何有助于学习的评估。最后,该团队将获得经验性的理解如何增强与AI代理的可访问性(例如,该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Qi Wang其他文献
Density functional theory study on the transition metal atoms encapsulated C20 cage clusters
过渡金属原子封装C20笼团簇的密度泛函理论研究
- DOI:
10.1088/2053-1591/aacc89 - 发表时间:
2018-06 - 期刊:
- 影响因子:2.3
- 作者:
Zhen Zhao;Zhi Li;Qi Wang - 通讯作者:
Qi Wang
Synthesis and electromagnetic absorption properties of Fe3O4@C nanofibers/bismaleimide nanocomposites
Fe3O4@C纳米纤维/双马来酰亚胺纳米复合材料的合成及电磁吸波性能
- DOI:
10.1007/s10854-016-5857-7 - 发表时间:
2017-02 - 期刊:
- 影响因子:0
- 作者:
Ping Chen;Qi Wang;Chun Lu;Caixia Jia - 通讯作者:
Caixia Jia
Steam Gasification of Catalytic Pyrolysis Char for Hydrogen-rich Gas Production
催化热解炭蒸汽气化生产富氢气体
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Wu-xing Sun;Yan Zhou;Qi Wang;Shu-rong Wang - 通讯作者:
Shu-rong Wang
Fabrication of visible-light active Fe2O3-GQDs/NF-TiO2 composite film with highly enhanced photoelectrocatalytic performance
具有高度增强光电催化性能的可见光活性Fe2O3-GQDs/NF-TiO2复合薄膜的制备
- DOI:
10.1016/j.apcatb.2016.11.046 - 发表时间:
2017-05 - 期刊:
- 影响因子:22.1
- 作者:
Qi Wang;Naxin Zhu;Engin Liu;Chenlu Zhang;John C. Crittenden;Yi Zhang;Yanqing Cong - 通讯作者:
Yanqing Cong
Degradation rather than warming delays onset of reproductive phenology of annual Chenopodium glaucum on the Tibetan Plateau
退化而不是变暖延迟了青藏高原一年生灰藜繁殖物候的开始
- DOI:
10.1016/j.agrformet.2021.108688 - 发表时间:
2021-12 - 期刊:
- 影响因子:6.2
- 作者:
Ji Suonan;Shujuan Cui;Wangwang Lv;Wenying Wang;Bowen Li;Peipei Liu;Huan Hong;Yang Zhou;Qi Wang;Lili Jiang;Tsechoe Dorji;Shiping Wang - 通讯作者:
Shiping Wang
Qi Wang的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Qi Wang', 18)}}的其他基金
Towards efficient state estimation in wall-bounded flows: hierarchical adjoint data assimilation
实现壁界流中的有效状态估计:分层伴随数据同化
- 批准号:
2332057 - 财政年份:2023
- 资助金额:
$ 13.39万 - 项目类别:
Standard Grant
Collaborative Research: SAI-R: Dynamical Coupling of Physical and Social Infrastructures: Evaluating the Impacts of Social Capital on Access to Safe Well Water
合作研究:SAI-R:物理和社会基础设施的动态耦合:评估社会资本对获得安全井水的影响
- 批准号:
2228533 - 财政年份:2022
- 资助金额:
$ 13.39万 - 项目类别:
Standard Grant
The 48th Northeast Bioengineering Conference
第48届东北生物工程大会
- 批准号:
2225607 - 财政年份:2022
- 资助金额:
$ 13.39万 - 项目类别:
Standard Grant
I-Corps: Enhancing Sensory Processing via Noninvasive Neuromodulation
I-Corps:通过无创神经调节增强感觉处理
- 批准号:
2232149 - 财政年份:2022
- 资助金额:
$ 13.39万 - 项目类别:
Standard Grant
Collaborative Research: A Whole-Community Effort to Understand Biases and Uncertainties in Using Emerging Big Data for Mobility Analysis
协作研究:全社区共同努力,了解使用新兴大数据进行出行分析时的偏差和不确定性
- 批准号:
2114197 - 财政年份:2021
- 资助金额:
$ 13.39万 - 项目类别:
Continuing Grant
SCC-IRG Track 2: Toxic-Free Footprints to Improve Community Health against Respiratory Hazards
SCC-IRG 第 2 轨道:无毒足迹改善社区健康,预防呼吸系统危害
- 批准号:
2125326 - 财政年份:2021
- 资助金额:
$ 13.39万 - 项目类别:
Continuing Grant
RAPID/Collaborative Research: High-Frequency Data Collection for Human Mobility Prediction during COVID-19
RAPID/协作研究:用于 COVID-19 期间人类流动性预测的高频数据收集
- 批准号:
2027744 - 财政年份:2020
- 资助金额:
$ 13.39万 - 项目类别:
Standard Grant
CAREER: Enhancing perception and cognition while minimizing side effects through closed-loop peripheral neural stimulation
职业:通过闭环周围神经刺激增强感知和认知,同时最大限度地减少副作用
- 批准号:
1847315 - 财政年份:2019
- 资助金额:
$ 13.39万 - 项目类别:
Continuing Grant
Collaborative Research: Personalized Systems for Wayfinding for First Responders
协作研究:为急救人员提供寻路的个性化系统
- 批准号:
1761950 - 财政年份:2018
- 资助金额:
$ 13.39万 - 项目类别:
Standard Grant
Collaborative Research: Computational Modeling of How Living Cells Utilize Liquid-Liquid Phase Separation to Organize Chemical Compartments
合作研究:活细胞如何利用液-液相分离来组织化学区室的计算模型
- 批准号:
1815921 - 财政年份:2018
- 资助金额:
$ 13.39万 - 项目类别:
Standard Grant
相似国自然基金
Research on Quantum Field Theory without a Lagrangian Description
- 批准号:24ZR1403900
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
Cell Research
- 批准号:31224802
- 批准年份:2012
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research
- 批准号:31024804
- 批准年份:2010
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research (细胞研究)
- 批准号:30824808
- 批准年份:2008
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
- 批准号:10774081
- 批准年份:2007
- 资助金额:45.0 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: CHIPS: TCUP Cyber Consortium Advancing Computer Science Education (TCACSE)
合作研究:CHIPS:TCUP 网络联盟推进计算机科学教育 (TCACSE)
- 批准号:
2414607 - 财政年份:2024
- 资助金额:
$ 13.39万 - 项目类别:
Standard Grant
Collaborative Research: Conference: DESC: Type III: Eco Edge - Advancing Sustainable Machine Learning at the Edge
协作研究:会议:DESC:类型 III:生态边缘 - 推进边缘的可持续机器学习
- 批准号:
2342498 - 财政年份:2024
- 资助金额:
$ 13.39万 - 项目类别:
Standard Grant
Collaborative Research: NSFGEO-NERC: Advancing capabilities to model ultra-low velocity zone properties through full waveform Bayesian inversion and geodynamic modeling
合作研究:NSFGEO-NERC:通过全波形贝叶斯反演和地球动力学建模提高超低速带特性建模能力
- 批准号:
2341238 - 财政年份:2024
- 资助金额:
$ 13.39万 - 项目类别:
Standard Grant
Collaborative Research: CHIPS: TCUP Cyber Consortium Advancing Computer Science Education (TCACSE)
合作研究:CHIPS:TCUP 网络联盟推进计算机科学教育 (TCACSE)
- 批准号:
2414606 - 财政年份:2024
- 资助金额:
$ 13.39万 - 项目类别:
Standard Grant
Collaborative Research: Conference: DESC: Type III: Eco Edge - Advancing Sustainable Machine Learning at the Edge
协作研究:会议:DESC:类型 III:生态边缘 - 推进边缘的可持续机器学习
- 批准号:
2342497 - 财政年份:2024
- 资助金额:
$ 13.39万 - 项目类别:
Standard Grant
Collaborative Research: CHIPS: TCUP Cyber Consortium Advancing Computer Science Education (TCACSE)
合作研究:CHIPS:TCUP 网络联盟推进计算机科学教育 (TCACSE)
- 批准号:
2414608 - 财政年份:2024
- 资助金额:
$ 13.39万 - 项目类别:
Standard Grant
Collaborative Research: CHIPS: TCUP Cyber Consortium Advancing Computer Science Education (TCACSE)
合作研究:CHIPS:TCUP 网络联盟推进计算机科学教育 (TCACSE)
- 批准号:
2414605 - 财政年份:2024
- 资助金额:
$ 13.39万 - 项目类别:
Standard Grant
Collaborative Research: NSFGEO-NERC: Advancing capabilities to model ultra-low velocity zone properties through full waveform Bayesian inversion and geodynamic modeling
合作研究:NSFGEO-NERC:通过全波形贝叶斯反演和地球动力学建模提高超低速带特性建模能力
- 批准号:
2341237 - 财政年份:2024
- 资助金额:
$ 13.39万 - 项目类别:
Continuing Grant
Collaborative Research: CHIPS: TCUP Cyber Consortium Advancing Computer Science Education (TCACSE)
合作研究:CHIPS:TCUP 网络联盟推进计算机科学教育 (TCACSE)
- 批准号:
2414604 - 财政年份:2024
- 资助金额:
$ 13.39万 - 项目类别:
Continuing Grant
Collaborative Research: Advancing Collaborations for Equity in Marine and Climate Sciences
合作研究:推进海洋和气候科学公平合作
- 批准号:
2314916 - 财政年份:2023
- 资助金额:
$ 13.39万 - 项目类别:
Standard Grant