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

• 批准号: 2235041
• 负责人: Kathryn Bigelow
• 金额: $ 17.44万
• 依托单位: University of Kansas Center for Research Inc
• 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
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2235041&HistoricalAwards=false
• 关键词: COLLABORATIVE; RESEARCH; Social; Emotional; Analysis

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由发展计划和既定的典型竞争者（EPSCOR）共同资助。为了促进社交情感学习，这是一个基于数据的反馈者，重点是社会学习。自动捕获了幼儿时教师实践的关键要素，以支持社交情感学习：他们对语言的使用，特别是在日常互动中的单词和短语Tak tak tap tak tap tak tap tak tap tak tap tak tap tak tap tak。 - 从幼儿教室中的录音中的情感谈话可以压制，可以更好地支持儿童的社会情感发展（例如，理解，管理和表达情感）。展示或密封的项目活动包括：（1）与童年专业人士和专家咨询小组的焦点小组一起开发社交和情感词和短语银行； （3）通过将人类转录与基线算法进行比较，检查单词和短语库的初始有效性提高儿童社交情绪的幼儿计划。基金会使用基金会的lmerit和更广泛的影响审查标准。