COLLABORATIVE RESEARCH: Social-Emotional Analysis of the Language Environment (SEAL): Key Word & Phrase Spotting in Early Childhood Care Settings

合作研究:语言环境的社会情感分析 (SEAL):关键词

基本信息

  • 批准号:
    2234916
  • 负责人:
  • 金额:
    $ 6.11万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-06-15 至 2024-05-31
  • 项目状态:
    已结题

项目摘要

o This project is jointly funded by the Developmental Science Program and the Established Program to Stimulate Competitive Research (EPSCoR).Children’s success in school and in life depends on whether they have learned certain social and emotional skills in their early years. To build teachers’ capacity to promote social emotional learning, there is a need for tools that provide data-based feedback to teachers on talk that focuses on social-emotional learning. This project creates such a tool, the Social Emotional Analysis of the Language Environment (SEAL). SEAL uses advanced speech processing algorithms to automatically capture a key element of teacher practice in early childhood education classrooms known to support social emotional learning: their use of language, and specifically, words and phrases within everyday interactions that tap into social emotional learning. This automatic measurement of teachers’ social-emotional talk from audio recordings in toddler classrooms could represent a transformative approach to help teachers better support children’s social-emotional development (e.g., understanding, managing, and expressing emotions). In turn, such a tool could better ensure young children gain the skills that ensure they are ready for school, relationships, and life. Project activities to demonstrate proof-of-concept for SEAL include: (1) developing a social and emotional word and phrase bank, informed by a national survey and focus groups with early childhood professionals and input from an expert advisory panel; (2) exploring teacher audio data to refine existing speech processing algorithms to detect classroom adult social emotional key words and phrases; and (3) examining initial validity of the word and phrase bank by comparing human transcription to a baseline algorithm to automatically detected speech data. This probe study serves to create evidence that a future fully formulated SEAL solution could yield data that will be easy to access and interpret and can be used by individual teachers, coaches, and early childhood programs to improve practices aimed at promoting child social emotional outcomes. Eventually, like an automated monitor for counting steps, we envision SEAL could be used by teachers themselves to monitor classroom social emotional talk and build capacity to improve social emotional competence in young children.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.
O 该项目由发展科学计划和刺激竞争研究的既定计划(EPSCoR)共同资助,儿童在学校和生活中的成功取决于他们是否在早年学习了某些社交和情感技能。为了建立教师促进社会情感学习的能力,需要有一种工具,为教师提供基于数据的反馈,重点是社会情感学习的谈话。这个项目创造了这样一个工具,语言环境的社会情感分析(SEAL)。SEAL使用先进的语音处理算法来自动捕捉幼儿教育课堂中教师实践的一个关键要素,以支持社会情感学习:他们在日常互动中使用语言,特别是单词和短语,这些都可以利用社会情感学习。这种从幼儿教室的录音中自动测量教师的社会情感谈话的方法可以代表一种变革性的方法,以帮助教师更好地支持儿童的社会情感发展(例如,理解、管理和表达情绪)。反过来,这样的工具可以更好地确保幼儿获得确保他们为学校,关系和生活做好准备的技能。为证明SEAL的概念而开展的项目活动包括:(1)根据一项全国性调查和一个有幼儿专业人员参加的焦点小组以及一个专家咨询小组的意见,开发一个社会和情感词汇和短语库;(2)探索教师音频数据,以改进现有的语音处理算法,检测课堂上的成人社会情感关键词汇和短语;以及(3)通过将人类转录与自动检测的语音数据的基线算法进行比较来检查单词和短语库的初始有效性。这项探索研究旨在提供证据,证明未来完全制定的SEAL解决方案可以产生易于访问和解释的数据,并可供个别教师,教练和幼儿计划使用,以改善旨在促进儿童社会情感结果的实践。最终,就像一个自动化的监视器计数步数,我们设想SEAL可以被教师自己用来监控课堂上的社会情感谈话,并建立能力,以提高幼儿的社会情感能力。这个奖项反映了NSF的法定使命,并已被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准的支持。

项目成果

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John Hansen其他文献

An energy and power-aware approach to high-level synthesis of asynchronous systems
用于异步系统高级综合的能量和功率感知方法
Springer Publisher
施普林格出版社
Pedometer Use as Motivation for Physical Activity in Cardiac Tele-Rehabilitation
在心脏远程康复中使用计步器作为身体活动的动力
  • DOI:
    10.5334/ijic.2288
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    C. Thorup;Mette Grønkjær;H. Spindler;J. Andreasen;John Hansen;B. Dinesen;Gitte Nielsen;E. E. Sørensen
  • 通讯作者:
    E. E. Sørensen
Characterization of Glutamate Dehydrogenase from the Ammonia-oxidizing Chemoautotroph <em>Nitrosomonas europaea</em>
  • DOI:
    10.1016/s0021-9258(19)81462-x
  • 发表时间:
    1967-01-25
  • 期刊:
  • 影响因子:
  • 作者:
    Alan B. Hooper;John Hansen;Roger Bell
  • 通讯作者:
    Roger Bell
Concurrency-Enhancing Transformations for Asynchronous Behavioral Specifications: A Data-Driven Approach
异步行为规范的并发增强转换:数据驱动的方法

John Hansen的其他文献

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{{ truncateString('John Hansen', 18)}}的其他基金

EAGER: Collaborative Research: Second Language Speech Production: Formulation of Objective Speech Intelligibility Measures and Learner-Specific Feedback
EAGER:协作研究:第二语言语音生成:客观语音清晰度测量和学习者特定反馈的制定
  • 批准号:
    2140415
  • 财政年份:
    2021
  • 资助金额:
    $ 6.11万
  • 项目类别:
    Standard Grant
CCRI: Medium: Developing a Multi-Channel Naturalistic Audio Corpora for the Natural Language Processing Research Community
CCRI:Medium:为自然语言处理研究界开发多通道自然音频语料库
  • 批准号:
    2016725
  • 财政年份:
    2020
  • 资助金额:
    $ 6.11万
  • 项目类别:
    Standard Grant
Workshops on NASA Apollo Mission Audio as a Community Research Resource
将 NASA 阿波罗任务音频作为社区研究资源的研讨会
  • 批准号:
    1943365
  • 财政年份:
    2019
  • 资助金额:
    $ 6.11万
  • 项目类别:
    Standard Grant
Collaborative Research: CSL-MultiAD: Assessing Collaborative STEM Learning through Rich Information Flow based on Multi-Sensor Audio Diarization
协作研究:CSL-MultiAD:通过基于多传感器音频二值化的丰富信息流评估协作 STEM 学习
  • 批准号:
    1918032
  • 财政年份:
    2019
  • 资助金额:
    $ 6.11万
  • 项目类别:
    Standard Grant
Doctoral Dissertation Research in DRMS: The Consumer Logic of Anti-Government Antagonism
DRMS博士论文研究:反政府对抗的消费者逻辑
  • 批准号:
    1357620
  • 财政年份:
    2014
  • 资助金额:
    $ 6.11万
  • 项目类别:
    Standard Grant
RI: Small: Collaborative Research: 'Houston We Have A Solution': Novel Speech Processing Advancements for Analysis of Large Asynchronous Multi-Channel Audio Corpora
RI:小型:协作研究:“休斯顿,我们有一个解决方案”:用于分析大型异步多通道音频语料库的新颖语音处理进步
  • 批准号:
    1219130
  • 财政年份:
    2012
  • 资助金额:
    $ 6.11万
  • 项目类别:
    Standard Grant
Collaborative Research: SBE Alliance: Great Lakes Alliance for the Social and Behavioral Sciences (GLASS)
合作研究:SBE 联盟:五大湖社会和行为科学联盟 (GLASS)
  • 批准号:
    0750599
  • 财政年份:
    2007
  • 资助金额:
    $ 6.11万
  • 项目类别:
    Continuing Grant
Collaborative Research: Primary Elections for U.S. State and Federal Offices: A Comprehensive Database and Analysis
合作研究:美国州和联邦办公室初选:综合数据库和分析
  • 批准号:
    0617555
  • 财政年份:
    2006
  • 资助金额:
    $ 6.11万
  • 项目类别:
    Standard Grant
SBE Collaborative Research: Northwestern AGEP for SBE
SBE 合作研究:西北大学 AGEP for SBE
  • 批准号:
    0549069
  • 财政年份:
    2005
  • 资助金额:
    $ 6.11万
  • 项目类别:
    Standard Grant
Interactions of the TCR co-receptors and p56LCK in an Ectothermic Model
变温模型中 TCR 共受体和 p56LCK 的相互作用
  • 批准号:
    0453924
  • 财政年份:
    2004
  • 资助金额:
    $ 6.11万
  • 项目类别:
    Continuing Grant

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