RAPID: Collaborative Research: A "Citizen Science" approach to COVID-19 social distancing effects on children's language development
RAPID:合作研究:采用“公民科学”方法研究 COVID-19 社交距离对儿童语言发展的影响
基本信息
- 批准号:2030106
- 负责人:
- 金额:$ 15.19万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-06-01 至 2022-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The COVID-19 pandemic is a significant threat to learning and language development for large numbers of children. Such challenges are compounded for those facing social and economic adversity, factors that are associated with decreased parental interactions, child development, and school achievement. This study examines the scope and magnitude of learning impacts from COVID19 pandemic by engaging families as “Citizen Scientists” who will track their children’s language use during the crisis. Social-distancing policies vary by state, enabling the researchers to compare how these different decisions affect children’s language development. This will help policymakers and educators make more informed decisions, both about crisis management and strategies to mitigate negative effects of crisis-related policies. More broadly, this work will make important contributions to the science of language learning, which in turn will help clinicians and educators best address the needs of children from varying demographics. Finally, by using a Citizen Science paradigm, this project establishes a conduit for science outreach and education. This project will recruit thousands of “volunteer researchers” to record data about their own family environment, parent-child conversations, and child language development using a web-based application accessible through a laptop or mobile phone. In addition to collecting survey responses, this app enables parents to make short audio recordings of their child’s speech and build a scrapbook of developing language abilities over time. When paired with comprehensive recruitment, this platform will assemble speech samples that are both broad and deep and will support more accurate models of relations between children’s learning and long- vs. short-term adversity. Additionally, the varied timing of social disruptions across locations permits both between-family and within-family comparisons of COVID-19 impacts, and yields estimates of effect sizes and modulation by race and socioeconomic status. The data will address questions of urgent societal interest, including a) how COVID-19 policies impact language-learning environments; b) how family stress changes children’s language and communication behavior; and c) what impacts the COVID-19 crisis has on developmental outcomes. Moreover, since social disruptions affect a wide demographic and are largely outside family control, this project leverages the COVID-19 crisis as an unusually clean manipulation of social and economic adversity. This avoids confounds that are persistently problematic in existing research, and will deepen theoretical insight into the factors that affect children’s language learning.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.
COVID-19大流行对大量儿童的学习和语言发展构成重大威胁。对于那些面临社会和经济逆境的人来说,这些挑战更加复杂,这些因素与父母互动减少、儿童发展和学校成绩有关。 这项研究通过让家庭作为“公民科学家”参与进来,在危机期间跟踪他们孩子的语言使用情况,研究了COVID 19大流行对学习影响的范围和程度。各州的社交距离政策各不相同,这使得研究人员能够比较这些不同的决定如何影响儿童的语言发展。这将有助于决策者和教育工作者在危机管理和减轻危机相关政策负面影响的战略方面做出更明智的决定。更广泛地说,这项工作将为语言学习科学做出重要贡献,这反过来将有助于临床医生和教育工作者最好地满足不同人口统计学特征的儿童的需求。最后,通过使用公民科学范式,该项目建立了一个科学推广和教育的渠道。该项目将招募数千名“志愿者研究员”,使用笔记本电脑或移动的手机访问的基于网络的应用程序,记录有关他们自己的家庭环境、父母与孩子的对话和儿童语言发展的数据。除了收集调查反馈外,这款应用还能让父母对孩子的讲话进行简短的录音,并建立一个随时间发展的语言能力剪贴簿。当与全面招聘相结合时,这个平台将收集广泛而深入的语音样本,并将支持更准确的儿童学习与长期和短期逆境之间关系的模型。此外,不同地点的社会中断时间不同,因此可以对COVID-19影响进行家庭间和家庭内比较,并根据种族和社会经济地位估计影响大小和调节。这些数据将解决紧迫的社会利益问题,包括a)COVID-19政策如何影响语言学习环境; B)家庭压力如何改变儿童的语言和沟通行为;以及c)COVID-19危机对发展结果有何影响。此外,由于社会混乱影响广泛的人口,而且在很大程度上不受家庭控制,这个项目利用COVID-19危机作为对社会和经济逆境的异常干净的操纵。这一奖项反映了NSF的法定使命,并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,被认为值得支持。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Joshua Hartshorne其他文献
Joshua Hartshorne的其他文献
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{{ truncateString('Joshua Hartshorne', 18)}}的其他基金
CAREER: How Many Intuitive Physics Systems are There, and What Do They Mean for Physics Education
职业:有多少直观的物理系统,它们对物理教育意味着什么
- 批准号:
2238912 - 财政年份:2023
- 资助金额:
$ 15.19万 - 项目类别:
Continuing Grant
HNDS-I: Pushkin: Enabling large-scale citizen science data collection for the social, behavioral, and economic sciences
HNDS-I:普希金:为社会、行为和经济科学实现大规模公民科学数据收集
- 批准号:
2318474 - 财政年份:2023
- 资助金额:
$ 15.19万 - 项目类别:
Standard Grant
POSE: Phase I: An open-source ecosystem for massive online experiments and citizen science
POSE:第一阶段:用于大规模在线实验和公民科学的开源生态系统
- 批准号:
2229631 - 财政年份:2022
- 资助金额:
$ 15.19万 - 项目类别:
Standard Grant
Collaborative Research: A virtual workshop on conducting language research online: Enhancing the resilience of the language sciences in a time of social distancing
合作研究:在线进行语言研究的虚拟研讨会:在社会疏远时期增强语言科学的弹性
- 批准号:
2029637 - 财政年份:2020
- 资助金额:
$ 15.19万 - 项目类别:
Standard Grant
Collaborative Research: NSF2026: EAGER: A Playground and Proposal for Growing an AGI.
合作研究:NSF2026:EAGER:发展 AGI 的游乐场和提案。
- 批准号:
2033938 - 财政年份:2020
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$ 15.19万 - 项目类别:
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RR: CompCog: A challenge suite for statistical word segmentation
RR:CompCog:统计分词挑战套件
- 批准号:
1918813 - 财政年份:2019
- 资助金额:
$ 15.19万 - 项目类别:
Standard Grant
Workshop on Events in Language and Cognition 2016
2016年语言与认知活动研讨会
- 批准号:
1606285 - 财政年份:2016
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$ 15.19万 - 项目类别:
Standard Grant
CompCog: Large-scale, empirically based, publicly accessible database of argument structure to support experimental and computational research
CompCog:大规模、基于经验、可公开访问的论证结构数据库,支持实验和计算研究
- 批准号:
1551834 - 财政年份:2016
- 资助金额:
$ 15.19万 - 项目类别:
Standard Grant
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